Podcasts about Git

Hojjat Jafarpour lives with his family in California. He got his PhD in databases and data streaming, back when the landscape was different and data streaming wasn't "cool" yet. He was an early member at Confluent, but also spent time at Quantcast, Informatica, and NEC Labs. Outside of tech, he has a family with young kids. He enjoys traveling, and can't wait until the kids are old enough to take on big trips.Hojjat joined Confluent in their early days. He was on a project that built out kSQL, which was a key cornerstone of Confluent. As these were the early days of stream processing, he started to think about ways to make it easier - to make this sort of tech available without all the infrastructure.This is the creation story of DeltaStream.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.deltastream.io/https://www.linkedin.com/in/hojjatjafarpour/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Kent Overstreet joins us for a full update on bcachefs. What's new, what's next, and the surprising upside of getting kicked out of the kernel.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

Spriha Baruah Tucker has spent time in a number of places - growing up in India, attending boarding school in Singapore, and now living in San Francisco. She spent many years at Google, before founding her own startup called Aviator. Outside of tech, she really likes music, having a soft spot in her heart for Bollywood, but really digging into the jazz world these days. She enjoys the guilty pleasure of trashy romance TV, and tends to travel to get the best food - her favorite being Nashville.Spriha was a founder at Aviator, and was made aware of her current company while serving her customers. He noticed that all of her customers who used this platform absolutely adored it, to the tune of making infomercials for the platform. She reached out to the founder to let him know... and the rest is history.This is Spriha's creation story at Buildkite.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://buildkite.com/https://www.aviator.co/https://www.linkedin.com/in/spriha-tucker/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Gajus Kuizinas lives in Mexico City, and travels between there, New York and San Francisco. He had a non-traditional upbringing for an engineer, as all of his family were into the arts - so he had to make his own way. He started in Lithuania, and eventually was recruiting to setup computers and networks for dating platforms. Eventually, he got into freelancing, and started his first startup in the UK. Outside of tech, he has a garden, which doubles as an ecosystem for his free roaming hedgehog and bunny.Gajus started to think about the arc of becoming a freelancer. He realized that everyone who goes through a journey as a freelancer feels like a cog in the machine, and falls off the marketplaces out there. He realized that there was a massive vacuum and gap in the internet for these folks that needed to be filled.This is the creation story of Contra.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://contra.com/https://www.linkedin.com/in/gajus/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

This show has been flagged as Clean by the host. Setting up Linux Mint with Custom LVM and Luks Linux Mint with Custom LVM on LUKS Overview The current Linux Mint installer doesn't support custom partitions when setting up a new machine with LUKS encryption using LVM. I prefer having a separate partition for my home directory and a backup partition for Timeshift, so that reinstalling or fixing issues won't overwrite my home directory. I found several approaches to achieve this. One method involves setting up partitions first and then using the installer to select them, but this requires extensive post-installation configuration to get boot working with the encrypted drive. I discovered this blog which explains how to repartition your drive after installation. Combined with my guide on setting up hibernation, I created this documentation to help remember how to install a fresh copy of Linux Mint with LVM and LUKS. Tested on: Linux Mint 22 Cinnamon Partition Layout For this guide, I'm working with a 1TB drive that will be split into the following logical volumes: Root - 100GB (system files and applications) Swap - 32GB (for hibernation support) Home - 700GB (user files and documents) Backup - 100GB (Timeshift snapshots) Unallocated - ~68GB (reserved for future expansion) This setup ensures that system snapshots and user data remain separate, making system recovery much easier. Installation Guide Step 1: Initial Linux Mint Installation Start the Linux Mint installation process as normal: Boot from your Linux Mint installation media Follow the installation wizard (language, keyboard layout, etc.) When you reach the Installation type screen: Select "Erase disk and install Linux Mint" Click "Advanced features" Enable both options: ✓ Use LVM with the new Linux Mint installation ✓ Encrypt the new Linux Mint installation for security Click Continue Enter a strong encryption password when prompted Complete the rest of the installation (timezone, user account, etc.) When installation finishes, do NOT click "Restart Now" - we'll repartition first Important: Do NOT reboot after installation completes. We need to repartition before the first boot. Step 2: Access Root Terminal After installation finishes, open a terminal and switch to root: sudo -i This gives you administrative privileges needed for disk operations. Step 3: Check Current Disk Layout View your current partition structure: lsblk -f This displays your filesystem layout. You should see your encrypted volume group (typically vgmint) with a large root partition consuming most of the space. Step 4: Resize Root Partition Shrink the root partition from its default size (nearly full disk) to 100GB: lvresize -L 100G --resizefs vgmint/root What this does: -L 100G sets the logical volume size to exactly 100GB --resizefs automatically resizes the filesystem to match This frees up ~900GB for our other partitions Step 5: Resize Swap Partition The default swap is usually small (a few GB). We need to increase it to 32GB for hibernation: lvresize --verbose -L +32G /dev/mapper/vgmint-swap_1 What this does: -L +32G adds 32GB to the current swap size --verbose shows detailed progress information This ensures enough swap space for RAM contents during hibernation Note: For hibernation to work, swap should be at least equal to your RAM size. Adjust accordingly. Step 6: Create Home Partition Create a new logical volume for your home directory: lvcreate -L 700G vgmint -n home What this does: -L 700G creates a 700GB logical volume vgmint is the volume group name -n home names the new volume "home" Step 7: Create Backup Partition Create a logical volume for Timeshift backups: lvcreate -L 100G vgmint -n backup What this does: Creates a dedicated 100GB space for system snapshots Keeps backups separate from user data Prevents backups from filling up your home partition Step 8: Format New Partitions Format both new partitions with the ext4 filesystem: mkfs.ext4 /dev/vgmint/backup mkfs.ext4 /dev/vgmint/home What this does: Creates ext4 filesystems on both logical volumes ext4 is the standard Linux filesystem with good performance and reliability Step 9: Mount Partitions Create mount points and mount your partitions: mkdir /mnt/{root,home} mount /dev/vgmint/root /mnt/root/ mount /dev/vgmint/home /mnt/home/ What this does: Creates temporary directories to access the filesystems Mounts root and home so we can configure them Step 10: Move Home Directory Contents Move the existing home directory contents from the root partition to the new home partition: mv /mnt/root/home/* /mnt/home/ What this does: Transfers all user files and directories from the old location to the new home partition Preserves your user account settings and any files created during installation Without this step, your home directory would be empty on first boot Step 11: Update fstab Add the home partition to the system's fstab file so it mounts automatically at boot: echo "/dev/mapper/vgmint-home /home ext4 defaults 0 2" >> /mnt/root/etc/fstab What this does: Appends a mount entry to /etc/fstab Ensures /home partition mounts automatically at startup The 0 2 values enable filesystem checks during boot Step 12: Clean Up and Prepare for Reboot Unmount the partitions and deactivate the volume group: umount /mnt/root umount /mnt/home swapoff -a lvchange -an vgmint What this does: Safely unmounts all mounted filesystems Turns off swap Deactivates the volume group to prevent conflicts Ensures everything is properly closed before reboot Step 13: Reboot Now you can safely reboot into your new system: reboot Enter your LUKS encryption password at boot, then log in normally. Verification After rebooting, verify your partition setup: lsblk -f df -h You should see: Root (/) mounted with ~100GB Home (/home) mounted with ~700GB Swap available with 32GB Backup partition ready for Timeshift configuration Setting Up Timeshift To complete your backup solution: Install Timeshift (if not already installed): sudo apt install timeshift Launch Timeshift and select RSYNC mode Choose the backup partition as your snapshot location Configure your backup schedule (daily, weekly, monthly) Create your first snapshot Additional Resources Original blog post on LVM rearrangement Setting up hibernation on Linux Mint Conclusion This setup gives you the best of both worlds: the security of full-disk encryption with LUKS, and the flexibility of custom LVM partitions. Your home directory and system backups are now isolated, making system recovery and upgrades much safer and more manageable. Automating Your Linux Mint Setup After a Fresh Install Automating Your Linux Mint Setup After a Fresh Install Setting up a fresh Linux Mint installation can be time-consuming, especially when you want to replicate your perfect development environment. This guide will show you how to automate the entire process using Ansible and configuration backups, so you can go from a fresh install to a fully configured system in minutes. Why Automate Your Setup? Whether you're setting up a new machine, recovering from a system failure, or just want to maintain consistency across multiple computers, automation offers several key benefits: Time Savings: What normally takes hours can be done in minutes Consistency: Identical setup across all your machines Documentation: Your setup becomes self-documenting Recovery: Quick recovery from system failures Reproducibility: Never forget to install that one crucial tool again Discovering Your Installed Applications Before creating your automation setup, you need to identify which applications you've manually installed since the initial OS installation. This helps you build a complete picture of your custom environment. Finding APT and .deb Packages To see all manually installed packages (excluding those that came with the OS): comm -23

In this fascinating episode, we dive deep into the world of agile hardware development with Gregor Gross, a civil engineer who runs Alpha-board, a PCB design service company in Berlin, Germany. Gregor shares his unique perspective on applying agile principles to hardware projects, where you can't just hit compile and get a new increment.We explore the practical challenges of agile hardware development, from structuring contracts differently to breaking complex PCBs into testable modules and shields. Gregor discusses the importance of mixed hardware-software teams, the role of automated documentation, and why his engineers resist pair programming despite its proven benefits. The conversation also touches on the cultural barriers to adopting agile practices in traditional hardware companies and the innovative approaches needed to make agile hardware development work in a service provider context.Key Topics[02:30] Introduction to Alpha-board and agile hardware development services[05:15] Defining agile principles: functionality-focused development and prioritization[12:45] Contract challenges: moving from fixed-price to hourly service contracts[18:20] Practical agile hardware: breaking PCBs into testable modules and shields[25:10] Mixed teams and automated documentation for hardware-software collaboration[32:40] The pair programming experiment: better results but team resistance[38:55] Customer expectations and the need for end-user access in agile projects[44:30] Version control and Git integration for hardware design workflowsNotable Quotes"We are probably the only service provider in Germany that offers agile hardware development because I don't see so many people speaking about it." — Gregor Gross"Software is soft, hardware is hard. I was waiting to say that." — Gregor Gross"My experience from pairing was they work harder. They feel like they observe themselves... but there wasn't any mistakes. And actually they themselves said they were surprised by how much they did because they did more than twice what they expected." — Gregor Gross"It's better to have different shields and modules that have some of the functionality. And so you can start iterating through these functionalities and test them." — Gregor GrossResources MentionedAlpha-board - Gregor's PCB design and agile hardware development service companyZephyr OS - Real-time operating system mentioned for prototyping with sample boardsKiCad - Open source EDA tool recommended for mixed teams and transparencyAndrew Greenberg's KiCon Presentation - Presentation on schematic style guides for better readability You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/

Raj Dosanjh grew up in Coventry, which he calls the Detroit of the UK. He still enjoys following the football team, and hopes they rejuvenate the city some. He eventually left for University and moved to London. He likes to dig into how people think and how things are built. Outside of tech, he is engaged to be married in 2026. As such, he has recently taking up physical training - which results in a lot of working out, and meals filled with chicken.In the past, Raj's now co-founder reached out to him, post shutting the doors on his prior startup. After they had felt out the market to see if a solution for billing could fit, they moved forward and eventually started enabling revenue streams for AI agents.This is the creation of Paid.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://paid.ai/https://www.linkedin.com/in/rdosanjh/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

SPONSOR! Git sum GOLD!!! Go to https://goldsafeexchange.com/viva-frei-rumble-audience/#form & claim an additional $1,500 in FREE gold or silver with qualifying purchases

We pull on a few loose threads from recent episodes, and some of them unravel into way more than we expected.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

This show has been flagged as Explicit by the host. New hosts Welcome to our new host: Whiskeyjack. Last Month's Shows Id Day Date Title Host 4501 Mon 2025-11-03 HPR Community News for October 2025 HPR Volunteers 4502 Tue 2025-11-04 Cheap Yellow Display Project Part 3: Reverse beacon network Trey 4503 Wed 2025-11-05 One time passwords using oathtool Whiskeyjack 4504 Thu 2025-11-06 YouTube Subscriptions 2025 #7 Ahuka 4505 Fri 2025-11-07 New site - looks great! Archer72 4506 Mon 2025-11-10 The UCSD P-System Operating System Whiskeyjack 4507 Tue 2025-11-11 What's in the bag ? Ken Fallon 4508 Wed 2025-11-12 YouTube Subscriptions 2025 #8 Ahuka 4509 Thu 2025-11-13 HPR Beer Garden 5 - Heferweisen Kevie 4510 Fri 2025-11-14 Playing Civilization V, Part 5 Ahuka 4511 Mon 2025-11-17 Audio-books Lee 4512 Tue 2025-11-18 HomeAssistant - Nmap ("Network Mapper") Reto 4513 Wed 2025-11-19 Living the Tux Life Episode 2 - Ventoy Al 4514 Thu 2025-11-20 YouTube Subscriptions 2025 #9 Ahuka 4515 Fri 2025-11-21 Privacy? I don't have anything to hide... Archer72 4516 Mon 2025-11-24 Browser User Agent Henrik Hemrin 4517 Tue 2025-11-25 Cheap Yellow Display Project Part 4: The hardware Trey 4518 Wed 2025-11-26 Cosy News Corner for Week 46 - Your source for Open Source news Daniel Persson 4519 Thu 2025-11-27 YouTube Subscriptions 2025 #10 Ahuka 4520 Fri 2025-11-28 Arthur C. Clarke: Rama and Sequels Ahuka Comments this month These are comments which have been made during the past month, either to shows released during the month or to past shows. There are 22 comments in total. Past shows There are 8 comments on 8 previous shows: hpr3753 (2022-12-21) "Some thoughts on "Numeronyms"" by Dave Morriss. Comment 3: Ken Fallon on 2025-11-03: "Just linked to this" Comment 4: Dave Morriss on 2025-11-05: "Thanks Ken" hpr4397 (2025-06-10) "Transfer files from desktop to phone with qrcp" by Klaatu. Comment 2: Ken Fallon on 2025-11-18: "I knew this would come in handy" Comment 3: candycanearter07 on 2025-11-19: "issues with qrcp..." Comment 4: Ken Fallon on 2025-11-20: "qrcp is private 0x0.st is not" hpr4485 (2025-10-10) "Git for Github and Gitlab" by Archer72. Comment 3: Archer72 on 2025-11-01: "candycanearter07 and Sayaci: Thanks!" Comment 4: candycanearter07 on 2025-11-05: "Re: candycanearter07 and Sayaci: Thanks!" hpr4491 (2025-10-20) "Thibaut and Ken Interview David Revoy" by Thibaut. Comment 3: dnt on 2025-11-04: "Great interview" hpr4493 (2025-10-22) "HPR Beer Garden 4 - Weissbier" by Kevie. Comment 5: TA Spinner on 2025-11-10: "Great episode, I look forward to more!" hpr4494 (2025-10-23) "Exploring FUTO Keyboard" by Antoine. Comment 1: Archer72 on 2025-11-01: "Keyboards use" hpr4498 (2025-10-29) "Living the Tux Life Episode 1" by Al. Comment 1: candycanearter07 on 2025-11-10: "cheers for taking the plunge!" hpr4499 (2025-10-30) "Greg Farough and Zoë Kooyman of the FSF interview Librephone lead developer Rob Savoye" by Ken Fallon. Comment 1: Henrik Hemrin on 2025-11-05: "Good interview pod to learn more about the Librephone project" This month's shows There are 14 comments on 8 of this month's shows: hpr4501 (2025-11-03) "HPR Community News for October 2025" by HPR Volunteers. Comment 1: Archer72 on 2025-11-01: "If you do something cool..."Comment 2: candycanearter07 on 2025-11-05: "Re: If you do something cool..."Comment 3: Archer72 on 2025-11-08: "Tip from operat0r" hpr4503 (2025-11-05) "One time passwords using oathtool" by Whiskeyjack. Comment 1: interesting, but... on 2025-11-10: "candycanearter07"Comment 2: Whiskeyjack on 2025-11-12: "One time passwords using oathtool" hpr4505 (2025-11-07) "New site - looks great!" by Archer72. Comment 1: folky on 2025-11-04: "Thank you" hpr4506 (2025-11-10) "The UCSD P-System Operating System" by Whiskeyjack. Comment 1: L'andrew on 2025-11-11: "A blast from the p-code past..."Comment 2: brian-in-ohio on 2025-11-17: "good show"Comment 3: Trixter on 2025-11-21: "This was very well done" hpr4509 (2025-11-13) "HPR Beer Garden 5 - Heferweisen" by Kevie. Comment 1: ClaudioM on 2025-11-19: "Both are Tasty!" hpr4511 (2025-11-17) "Audio-books" by Lee. Comment 1: Lee on 2025-11-05: "Errata" hpr4517 (2025-11-25) "Cheap Yellow Display Project Part 4: The hardware " by Trey. Comment 1: mirwi on 2025-11-25: "Explanation of "silent key"."Comment 2: Trey on 2025-11-26: "Thank you, Mirwi. Silent Key episode link" hpr4518 (2025-11-26) "Cosy News Corner for Week 46 - Your source for Open Source news" by Daniel Persson. Comment 1: Torin Doyle on 2025-11-29: "I like this news feature." Mailing List discussions Policy decisions surrounding HPR are taken by the community as a whole. This discussion takes place on the Mailing List which is open to all HPR listeners and contributors. The discussions are open and available on the HPR server under Mailman. The threaded discussions this month can be found here: https://lists.hackerpublicradio.com/pipermail/hpr/2025-November/thread.html Events Calendar With the kind permission of LWN.net we are linking to The LWN.net Community Calendar. Quoting the site: This is the LWN.net community event calendar, where we track events of interest to people using and developing Linux and free software. Clicking on individual events will take you to the appropriate web page.Provide feedback on this episode.

Susanne Heipcke is Director of Software Engineering at FICO, where she has led the Modelling Team of FICO Xpress development for more than 12 years. Her team is responsible for the development and design of the modelling tools (Xpress Mosel) and the APIs of the Xpress Optimization software suite, with past tasks including the design of application development toolkits, solution templates, and productized optimization solutions such as FICO Decision Optimizer. More recently, her team's responsibilities have expanded to include CI/CD, performance testing, and delivery infrastructure for the entire Xpress suite. Before joining Dash Optimization (acquired by FICO in 2008) in 1998, she worked for BASF-AG in Germany. Her Ph.D. research at the University of Buckingham—conducted partly at the MIT OR Center (USA) and the University Aix-Marseille II (France)—focused on solving large-scale industrial problems using a combination of constraint programming and mixed integer programming. Her work centers on all aspects of modelling, particularly through her contributions to the development of the algebraic modelling and programming language Xpress Mosel. She is the author of the book Applications of Optimization with Xpress-MP and numerous papers on different aspects of mathematical modelling. Susanne enjoys teaching mathematical optimization, having participated in teaching the mathematical modelling course in the OR master's program at the University Aix-Marseille II (2001–2004) and the Computational Mixed-Integer Programming course at the Technical University of Munich in 2020. She regularly organizes specialist training events and conference sessions, such as the “Software for Optimization Modeling and Deployment” sessions at recent INFORMS Annual Meetings (jointly with Bob Fourer), and she is actively engaged in mentoring younger colleagues. Since 2019 she has been a member of the EURO Practitioners' Forum committee (formerly the EURO Working Group Practice of OR), leading the organization of the Forum's annual meetings in 2020, 2023, and 2026. With more than 30 years of experience in applied OR, she has also contributed to numerous consulting projects worldwide, involving scheduling and planning in manufacturing, personnel staffing, aircraft routing with maintenance planning, portfolio optimization, trading, energy production planning and unit commitment, and retail logistics.Contents of this video:0:00 - Intro1:27 - Family background and early years4:15 - Attending a girls' high school4:58 - Polyglot9:11 - Learning to program during high school11:13 - Moving to Bavaria to study mathematics13:19 - Practical data processing projects14:52 - Learning about OR16:31 - Master's thesis on constraint programming (CP) applied to a problem arising at BASF20:31 - Getting inspiration from a female leader at BASF22:14 - Spending half a year at the MIT OR Center + moving to the University of Buckingham for a PhD25:02 - Adapting to the UK26:06 - Combining MIP and CP to solve production planning and scheduling problems29:19 - Joining Dash Optimization in 199830:32 - Moving to France in 199931:20 - Working form home in an era before Zoom, Git, and similar tools existed32:28 - Maternity and work33:55 - The modelling language Xpress Mosel36:38 - Launching Mosel in 200139:45 - Evolution of Mosel over the years45:16 - Mosel's long-standing team47:35 - High compatibility across different versions of Mosel 48:16 - Xpress Mosel is a free software since 201849:21 - Favorite contributions to Mosel53:21 - Software engineering and optimization58:20 - AI and optimization software1:01:12 - Organizing conferences, workshops and special sessions regarding optimization software1:03:25 - EURO Practitioners' Forum1:04:52 - Regrets?1:05:18 - Plans for the future1:06:15 - Inspiring takeaway message1:07:22 - Concluding remarks

AI Assisted Coding: Treating AI Like a Junior Engineer - Onboarding Practices for AI Collaboration In this special episode, Sergey Sergyenko, CEO of Cybergizer, shares his practical framework for AI-assisted development built on transactional models, Git workflows, and architectural conventions. He explains why treating AI like a junior engineer, keeping commits atomic, and maintaining rollback strategies creates production-ready code rather than just prototypes. Vibecoding: An Automation Design Instrument "I would define Vibecoding as an automation design instrument. It's not a tool that can deliver end-to-end solution, but it's like a perfect set of helping hands for a person who knows what they need to do."   Sergey positions vibecoding clearly: it's not magic, it's an automation design tool. The person using it must know what they need to accomplish—AI provides the helping hands to execute that vision faster. This framing sets expectations appropriately: AI speeds up development significantly, but it's not a silver bullet that works without guidance. The more you practice vibecoding, the better you understand its boundaries. Sergey's definition places vibecoding in the evolution of development tools: from scaffolding to co-pilots to agentic coding to vibecoding. Each step increases automation, but the human architect remains essential for providing direction, context, and validation. Pair Programming with the Machine "If you treat AI as a junior engineer, it's very easy to adopt it. Ah, okay, maybe we just use the old traditions, how we onboard juniors to the team, and let AI follow this step."   One of Sergey's most practical insights is treating AI like a junior engineer joining your team. This mental model immediately clarifies roles and expectations. You wouldn't let a junior architect your system or write all your tests—so why let AI? Instead, apply existing onboarding practices: pair programming, code reviews, test-driven development, architectural guidance. This approach leverages Extreme Programming practices that have worked for decades. The junior engineer analogy helps teams understand that AI needs mentorship, clear requirements, and frequent validation. Just as you'd provide a junior with frameworks and conventions to follow, you constrain AI with established architectural patterns and framework conventions like Ruby on Rails. The Transactional Model: Atomic Commits and Rollback "When you're working with AI, the more atomic commits it delivers, more easy for you to kind of guide and navigate it through the process of development."   Sergey's transactional approach transforms how developers work with AI. Instead of iterating endlessly when something goes wrong, commit frequently with atomic changes, then rollback and restart if validation fails. Each commit should be small, independent, and complete—like a feature flag you can toggle. The commit message includes the prompt sequence used to generate the code and rollback instructions.  This approach makes the Git repository the context manager, not just the AI's memory. When you need to guide AI, you can reference specific commits and their context. This mirrors trunk-based development practices where teams commit directly to master with small, verified changes. The cost of rollback stays minimal because changes are atomic, making this strategy far more efficient than trying to fix broken implementations through iteration. Context Management: The Weak Point and the Solution "Managing context and keeping context is one of the weak points of today's coding agents, therefore we need to be very mindful in how we manage that context for the agent."   Context management challenges current AI coding tools—they forget, lose thread, or misinterpret requirements over long sessions. Sergey's solution is embedding context within the commit history itself. Each commit links back to the specific reasoning behind that code: why it was accepted, what iterations it took, and how to undo it if needed. This creates a persistent context trail that survives beyond individual AI sessions. When starting new features, developers can reference previous commits and their context to guide the AI. The transactional model doesn't just provide rollback capability—it creates institutional memory that makes AI progressively more effective as the codebase grows. TDD 2.0: Humans Write Tests, AI Writes Code "I would never allow AI to write the test. I would do it by myself. Still, it can write the code."   Sergey is adamant about roles: humans write tests, AI writes implementation code. This inverts traditional TDD slightly—instead of developers writing tests then code, they write tests and AI writes the code to pass them. Tests become executable requirements and prompts. This provides essential guardrails: AI can iterate on implementation until tests pass, but it can't redefine what "passing" means. The tests represent domain knowledge, business requirements, and validation criteria that only humans should control. Sergey envisions multi-agent systems where one agent writes code while another validates with tests, but critically, humans author the original test suite. This TDD 2.0 framework (a talk Sergey gave at the Global Agile Summit) creates a verification mechanism that prevents the biggest anti-pattern: coding without proper validation. The Two Cardinal Rules: Architecture and Verification "I would never allow AI to invent architecture. Writing AI agentic coding, Vibecoding, whatever coding—without proper verification and properly setting expectations of what you want to get as a result—that's the main mistake."   Sergey identifies two non-negotiables. First, never let AI invent architecture. Use framework conventions (Rails, etc.) to constrain AI's choices. Leverage existing code generators and scaffolding. Provide explicit architectural guidelines in planning steps. Store iteration-specific instructions where AI can reference them. The framework becomes the guardrails that prevent AI from making structural decisions it's not equipped to make. Second, always verify AI output. Even if you don't want to look at code, you must validate that it meets requirements. This might be through tests, manual review, or automated checks—but skipping verification is the fundamental mistake. These two rules—human-defined architecture and mandatory verification—separate successful AI-assisted development from technical debt generation. Prototype vs. Production: Two Different Workflows "When you pair as an architect or a really senior engineer who can implement it by himself, but just wants to save time, you do the pair programming with AI, and the AI kind of ships a draft, and rapid prototype."   Sergey distinguishes clearly between prototype and production development. For MVPs and rapid prototypes, a senior architect pairs with AI to create drafts quickly—this is where speed matters most. For production code, teams add more iterative testing and polishing after AI generates initial implementation. The key is being explicit about which mode you're in. The biggest anti-pattern is treating prototype code as production-ready without the necessary validation and hardening steps. When building production systems, Sergey applies the full transactional model: atomic commits, comprehensive tests, architectural constraints, and rollback strategies. For prototypes, speed takes priority, but the architectural knowledge still comes from humans, not AI. The Future: AI Literacy as Mandatory "Being a software engineer and trying to get a new job, it's gonna be a mandatory requirement for you to understand how to use AI for coding. So it's not enough to just be a good engineer."   Sergey sees AI-assisted coding literacy becoming as fundamental as Git proficiency. Future engineering jobs will require demonstrating effective AI collaboration, not just traditional coding skills. We're reaching good performance levels with AI models—now the challenge is learning to use them efficiently. This means frameworks and standardized patterns for AI-assisted development will emerge and consolidate. Approaches like AAID, SpecKit, and others represent early attempts to create these patterns. Sergey expects architectural patterns for AI-assisted development to standardize, similar to how design patterns emerged in object-oriented programming. The human remains the bottleneck—for domain knowledge, business requirements, and architectural guidance—but the implementation mechanics shift heavily toward AI collaboration. Resources for Practitioners "We are reaching a good performance level of AI models, and now we need to guide it to make it impactful. It's a great tool, now we need to understand how to make it impactful."   Sergey recommends Obie Fernandez's work on "Patterns of Application Development Using AI," particularly valuable for Ruby and Rails developers but applicable broadly. He references Andrey Karpathy's original vibecoding post and emphasizes Extreme Programming practices as foundational. The tools he uses—Cursor and Claude Code—support custom planning steps and context management. But more important than tools is the mindset: we have powerful AI capabilities now, and the focus must shift to efficient usage patterns. This means experimenting with workflows, documenting what works, and sharing patterns with the community. Sergey himself shares case studies on LinkedIn and travels extensively speaking about these approaches, contributing to the collective learning happening in real-time.   About Sergey Sergyenko   Sergey is the CEO of Cybergizer, a dynamic software development agency with offices in Vilnius, Lithuania. Specializing in MVPs with zero cash requirements, Cybergizer offers top-tier CTO services and startup teams. Their tech stack includes Ruby, Rails, Elixir, and ReactJS.   Sergey was also a featured speaker at the Global Agile Summit, and you can find his talk available in your membership area. If you are not a member don't worry, you can get the 1-month trial and watch the whole conference. You can cancel at any time.   You can link with Sergey Sergyenko on LinkedIn.

En este episodio profundizamos en la optimización de tus sistemas Docker. El objetivo de hoy: implementar nuevas y mejores prácticas para que tus contenedores sean más estables y eficientes. Si buscas cómo sacar el máximo partido a tu infraestructura autoalojada, esta es tu guía.Uno de los problemas más comunes al trabajar con Docker Compose es que los servicios dependientes (como una aplicación web o un servidor de correo) intentan conectarse a la base de datos antes de que esta haya terminado de arrancar, provocando errores.Te muestro mi solución PRO para esto: utilizamos la combinación de la directiva depends_on con la condición service_healthy.Esta configuración asegura que servicios críticos como Gitea (mi servicio de alojamiento de repositorios Git) y Stalwart (mi servidor de correo) solo se inician cuando su respectiva base de datos PostgreSQL ha pasado su chequeo de salud y está lista para aceptar conexiones. Esto garantiza una secuencia de inicio robusta y sin fallos, una mejora fundamental en la gestión de tus datos y sistemas.Gitea : Vemos cómo configurar el healthcheck para la base de datos PostgreSQL usando pg_isready y cómo el servicio Gitea espera por esta condición. También optimizamos el tráfico interno del runner de Gitea para que use la red interna de Docker (http://gitea:3000), reduciendo la carga de Traefik y mejorando la seguridad.Stalwart : En el caso de mi cliente de correo, he migrado la base de datos de RocketDB a PostgreSQL. La razón es sencilla: PostgreSQL es más transparente y me permite integrar sin esfuerzo mi contenedor personalizado (atareao/postgres-backup:latest) para hacer copias de seguridad eficientes y automatizadas.En este episodio, también te presento una nueva herramienta que me ha encantado: Dockpeek.Dockpeek es un panel de control autoalojado y muy ligero para Docker, perfecto para la gestión de contenedores en múltiples hosts. Si te gustan las herramientas que reemplazan funcionalidades complejas con soluciones sencillas, Dockpeek te va a encantar.Características destacadas: Acceso web con un clic, mapeo automático de puertos, registros de contenedores en vivo, integración con Traefik y chequeo de actualizaciones de imágenes.Te comparto el compose.yml que utilizo para instalar Dockpeek junto a Traefik.Quantum (Filebrowser): He ajustado los permisos y la configuración del servicio que utilizo para compartir archivos. Te explico la solución al problema de permisos que surgió al intentar usar un usuario que no es root, modificando el uid, gid y mode en la sección configs del compose.yml.Escucha el episodio para obtener el tutorial completo y adaptar estas soluciones a tu Raspberry Pi o VPS. ¡Es la forma más práctica de optimizar tu productividad y tus sistemas Linux!¡Suscríbete a "atareao con Linux" para no perderte ningún tutorial y llevar tu experiencia con Linux a un nivel PRO!

In this episode, Ciro Greco (Co-founder & CEO, Bauplan) joins me to discuss why the future of data infrastructure must be "Code-First" and how this philosophy accidentally created the perfect environment for AI Agents.We explore why the "Modern Data Stack" isn't ready for autonomous agents and why a programmable lakehouse is the solution. Ciro explains that while we trust agents to write code (because we can roll it back), allowing them to write data requires strict safety rails. He breaks down how Bauplan uses "Git for Data" semantics - branching, isolation, and transactionality - to provide an air-gapped sandbox where agents can safely operate without corrupting production data. Welcome to the future of the lakehouse.Bauplan: https://www.bauplanlabs.com/

Emmanuel Straschnov grew up in rural France, which is interestingly enough where he started doing computer stuff (he mentioned there wasn't much else to do in the 90's). He grew up sailing, as he lived next to the shore in Normandy. He never really thought he would end up coding, but after obtaining his MBA, he ended up doing just that. Outside of tech, he is married with 2 children. He mentions that most of his hobby time is devoted to them, but on occasion, he likes to travel, continue sailing, and to sing.Many years ago, Emmanuel noticed that there were a lot of people searching for technical founders, and using services to find technical founders. He thought this to be wrong, as many people have product ideas and just need a product to help them build it... so, he created something just for them.This is the creation story of Bubble.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://bubble.io/https://www.linkedin.com/in/straschnov/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Chris cooked up a wild remote-access trick for Jellyfin that skips VPNs entirely. One tiny toggle spins up a secure tunnel on demand. Simple, absurd, and shockingly effective.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

Marco Rodrigues was born and raised in Canada, but now lives in the Bay Area. His tech genesis was around the time when the internet came out, when he spent an entire summer indoors, worrying his mother. He eventually attended university in Toronto, and went to work for Juniper Networks. Past that, he went towards the startup world - running product teams, and taking part in the ownership and selling of solutions and service offerings. Outside of tech, he is married with twin girls in the Naval Cadet Core. He is a big hockey nut, rooting for the Edmonton Oilers, and enjoys taking his kids to hockey rinks all over the world.Marco spent many years watching his teams drown in data and tooling. The situations were more complex, but the outcomes weren't getting better. He started to consider the advent of AI, and asked the question - how do we solve these sorts of problems with an agentic SOC platform?This is the creation story of Exaforce.SponsorsIncogniNordProtectVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.exaforce.com/https://www.linkedin.com/in/marcorodrigues1/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordVPN: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Marimo is redefining what a Python notebook can do—bringing structure, version control, and interactivity together. In this episode, we chat with Akshay Agrawal, co-founder and CEO of Marimo, about how their reactive Python notebook fixes hidden state, keeps outputs in sync, and makes reproducible, reviewable code the norm.Akshay shares Marimo's origin story, how its reactive DAG turns notebooks into clean, Git-friendly tools, and why teams are ditching Jupyter-to-Streamlit pipelines for simpler, reactive workflows. We also dive into performance, data handling with pandas/Polars via Narwhals, and SQL reactivity with DuckDB.Join us in this insightful episode as we talk with Akshay about reproducibility, data workflows, and turning prototypes into shareable apps.For more info on Marimo, reach out to Akshay:Website: https://www.akshayagrawal.com/Github: https://github.com/akshaykaLinkedIn: https://www.linkedin.com/in/akshayka/X: https://x.com/akshaykagrawal______If you found this podcast helpful, please consider following us!Start Here with Pybites: https://pybit.esDeveloper Mindset Newsletter: https://pybit.es/newsletter

An airhacks.fm conversation with Olimpiu Pop (@olimpiupop) about: Romanian developer's journey from 486 computers to Transylvania Java User Group, early programming with Turbo Pascal at age 9-10, playing games like Jazz Jackrabbit and Prince of Persia, influence of Star Trek and science fiction on career choice, mathematics olympiads participation, computer science high school education, learning C and FoxPro, Java vs .net ecosystem in Romania during 2000s, Microsoft's university infiltration strategy, first Java exposure with version 1.4, Siemens internship on telecommunications servers, neighborhood network building projects, working without home internet until 2005-2006, nearshoring company experience, EJB and Spring framework with XML configuration, master's studies at Johannes Kepler University Linz 2008-2011, working with fabasoft on observability systems, .NET development for two years with C#, attributes vs annotations comparison, Java ME micro edition development, implementing DTOs and service architectures, agile methodology adoption, iterative development practices, data gravity concept from Ruby on Rails, working for Uniqa with WebMethods, brueckner Group spin-off developing industrial software, DevOps implementation with Jenkins and Git, choosing between Mercurial and Git version control, Broadridge financial technology work, stock exchange monitoring systems, low-latency Java implementations, Mechanical Sympathy and Disruptor pattern, taking over Java User Group from Gabi Pop, managing Java Advent Calendar for 15 years, WordPress to Java migration plans using quarkus-roq, transition from coding to management roles, challenging microservices adoption, modular monolith advocacy, Java verbosity improvements and scripting capabilities, young developers returning to Java, typescript developers discovering Java patterns, Romanian tech scene evolution, Cluj coffee culture and steampunk bars Olimpiu Pop on twitter: @olimpiupop

Samuel Stroschein, Gründer von Opral, spricht über die Evolution von Change Control durch AI-Agents. Er teilt, warum Git der Schlüssel zur AI-Revolution ist, wie sie Change Control für andere Dateiformate ermöglichen und warum Vertrauen in Agents nur durch transparente Änderungen entsteht. Was du lernst: Wie Change Control AI-Agents ermöglicht Die Bedeutung von Version Control Warum Transparenz entscheidend ist Den richtigen Mix aus Autonomie und Kontrolle ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch   Mehr zu Samuel: LinkedIn: https://www.linkedin.com/in/samuelstroschein/  Website: github.com/inlang/inlang  Mehr zu Co-Host Mike: LinkedIn: https://www.linkedin.com/in/mikemahlkow/  Website: https://fastgen.com/   Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ 

Praveen Ghanta recently turned 47 and started to look at the things he wanted to do - but potentially couldn't do in the future. He's married with 3 teenage kids, and has been into running for quite some time. So much so, that he attempted to run a 5 minute mile... and almost made it. Also, he recently signed up for soccer classes, after having been beat by some eighth grade kids, who helped him realize he needed training in his ball handling skills.In his prior startup, Praveen and his team stumbled upon a new approach to hiring that fueled the building of this startup, all the way through exit. After that success, he decided to make this approach available to others, and form a business around this very thing - fractional talent for your startup.This is the creation story of Fraction and DevHawk.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.hirefraction.com/https://www.devhawk.ai/https://www.linkedin.com/in/pghanta/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this Building Better Foundations episode, hosts Rob Broadhead and Michael Meloche continue their conversation with Greg Lind, founder of Buildly and OpenBuild. They explore how automating quality in software development changes the way teams build and test software. Greg explains that AI and automation can improve collaboration and prevent errors before they happen. As a result, teams can deliver code faster, maintain consistency, and build stronger foundations for long-term success. Greg's experience across startups and open-source projects has shown him one simple truth: quality can't be bolted on at the end—it must be built into the process from the start. "QA often gets left until the end. But it has to start from the developer." — Greg Lind About the Guest — Greg Lind Gregory Lind is an American software developer, author, and entrepreneur with over 20 years of experience in open-source innovation, software efficiency, and team transparency. He's the founder of Buildly in Brooklyn and co-founder of Humanitec in Berlin, helping organizations modernize systems through collaboration and automation. A frequent speaker at Open Gov and Open Source conferences, Greg advocates for open, scalable solutions and smarter software processes. His upcoming book, "Radical Therapy for Software Teams" (Apress, 2024), explores how transparency and AI can transform how teams build software. Automating Quality Starts with Developers Greg explains that every developer should think like a QA engineer. Testing isn't something done after code is written—it's something built into how code is written. He stresses that developers should write unit tests early and often, focusing on verifying object-level functionality rather than simply checking UI forms or user flows. QA should then expand from there, building additional layers of testing as complexity grows. "I learned that I need to think like a QA person from the very beginning." — Greg Lind By shifting QA upstream, teams reduce rework, accelerate release cycles, and improve code confidence. Automating Quality in Software Development Across the Pipeline At Buildly, Greg and his team integrate testing automation into every stage of the development pipeline. Tools like Robot Framework and Selenium handle both front-end and API-level testing, while Git pre-commit hooks ensure tests are written before code even reaches the repository. "You have to make sure those tests have already been written. If there isn't a test, it pulls it back and says, 'make sure that you have your test in before you check it in.'" — Greg Lind This system ensures that developers can't skip testing—and that QA has visibility into every build. It's a workflow that blends accountability with automation, reinforcing a culture where quality is everyone's job. AI's Role in Continuous Improvement Greg sees AI as a critical ally in maintaining software quality at scale. Rather than replacing QA engineers, AI helps automate the tedious parts of the process—like generating basic test cases, reviewing commits, or spotting missing standards in pull requests. "I don't mean to put that out there as a replacement for QA in any way. Developers need to be in the process, and QA are developers as well." — Greg Lind AI's ability to analyze large volumes of commit history and testing data helps teams identify trends, recurring issues, and areas for improvement. This frees human testers to focus on strategic validation, exploratory testing, and creative problem-solving. Transparency, Collaboration, and Learning Another major theme Greg highlights is transparency. Buildly's AI-driven summaries and automated reports make quality metrics visible to everyone on the team—developers, product managers, and QA alike. "It's not about who wrote the bad test—it's a learning process. Every pull request is an opportunity to make the code better." — Greg Lind This openness removes blame from the process and instead encourages collaboration and improvement. Code reviews become opportunities to mentor, learn, and evolve—not just check boxes. Evolving Agile for the AI Era As Rob and Michael point out, Agile principles still apply—but the implementation must evolve. Traditional sprint structures don't always fit AI-accelerated environments. Greg agrees, noting that the key is flexibility: adapt the process, automate what you can, and always look for ways to improve. "You don't have to be a slave to what you think the process is. Agile literally tells you—adjust it as your team and your project evolve." — Rob Broadhead Automation and AI are simply the latest tools in that evolution—helping teams move faster, collaborate better, and keep quality at the core of every release. Final Thoughts on Automating Quality in Software Development Greg Lind's insights in this episode reinforce a powerful truth: automating quality isn't about replacing people—it's about empowering them. When developers, QA, and AI systems work together, software development becomes a continuous cycle of improvement, learning, and trust. As teams embrace automation and transparency, they don't just ship faster—they build stronger, smarter, and more sustainable software foundations. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Boost Your Developer Efficiency: Automation Tips for Developers Automating Your Processes Automating Solutions – Solve First, Then Perfect Building Better Foundations Podcast Videos – With Bonus Content

Shawn Tierney meets up with Henrik Pedersen and Jacob Abel to learn about OTee Virtual PLCs in this episode of The Automation Podcast. For any links related to this episode, check out the “Show Notes” located below the video. Watch The Automation Podcast from The Automation Blog: Listen to The Automation Podcast from The Automation Blog: The Automation Podcast, Episode 252 Show Notes: Special thanks to Henrik Pedersen and Jacob Abel for coming on the show, and to OTee for sponsoring this episode so we could release it “ad free!” To learn about the topics discussed in this episode, checkout the below links: OTee Virtual PLCs website Schedule an OTee demo Connect with Henrik Pedersen Connect with Jacob Abel Read the transcript on The Automation Blog: (automatically generated) Shawn Tierney (Host): Thank you for tuning back into the automation podcast. Shawn Tierney here from Insights. And this week on the show, I meet up with Henrik Pedersen and Jacob Abel to learn all about virtual PLCs from OTee. That’s o t e e. And, I just thought it was very interesting. So if you guys have ever thought about maybe running virtual PLCs to test some processes out, I think you’ll really enjoy this. With that said, I wanna welcome to the show for the very first time, Hendrik and Jacob. Guys, before we jump into your presentation and learn more about what you do, could you first introduce yourself to our audience? Henrik Pedersen (OTee): Yeah. Sweetly. So my name is Hendrik. I am the cofounder, COO, OT, a new industrial automation company, that, we’re really glad to present here today. I have a background from ABB. I worked eleven years at ABB. In terms of education, I have an engineering degree and a master degree in industrial economics. And, yeah, I’m I’m excited to be here. Thanks, Rom. And I’ll pass it over to Jake. Jacob Abel (Edgenaut): I’m, Jacob Abel. I’m the principal automation engineer at Edgnot. EdgeNaught is a systems integrator focusing on edge computing and virtual PLCs. My background is in mechanical engineering, and I’m a professional control systems engineer, and I have thirteen years experience in the machine building side of industrial automation, specifically in oil and gas making flow separators. And I’ll hand it back to Henrik here. Henrik Pedersen (OTee): K. Great. So OT, we are a a new industrial automation company, the new kid on the block, if you will. We’re a start up. So, we only started, about three years ago now. And, we focus solely on virtual PLCs and and the data architectures allow you to integrate virtual PLCs in in operations. And, you know, some of the listeners will be very familiar with this first, thing I’m gonna say, but I think it’s valuable to just take a take a little bit step back and and remember what has happened in in history when when it comes to to IT and OT and, and and what really what really happened with that split. Right? So it was probably around the ‘9 you know, around nineteen nineties where the the the domain computer science were really split into these two domains here, the IT and OT. And, and that, that was, that was kind of natural that that happened because we got on the, on the IT side of things, we got Internet, we got open protocols and, you know, we had the personal computers and innovation could truly flourish on the IT side. But whereas on the OT side, we were we were kind of stuck still in the proprietary, hardware software lock in situation. And and that has that has really not been solved. Right? That that that is still kind of the the situation today. And it this is what this is obviously what also, brought me personally to to really got really super motivated to solve this problem and and really dive deep into it. And I experienced this firsthand with with my role in NAD and, how how extremely locked we are at creating new solutions and new innovation on the OT side. So so we’re basically a company that wants to to truly open up the the the innovation in this space and and make it possible to adopt anything new and new solutions, that that sits above the PLC and and, you know, that integrate effectively to to the controller. So I I have this this, you know, this slide that kind of illustrates this point with with some some, you know, historical events or or at least some some some big shifts that has happened. And, Aurene mentioned a shift in nineteen nineties. And it wasn’t actually until ’20, 2006 that Gartner coined this term OT, to explain the difference really what what has happened. And and, you know, as we know, IT has just boomed with innovation since since the nineties and OT is, is, is slowly, slowly incrementally getting better, but it’s still, it’s still the innovation pace is really not, not fast. So, this is also, of course, illustrated with all the new developments in in GenAI and AgenTic AI, MCP, and things like that that is kinda booming on on the IT side of things. And and and yeah. So, but we do believe that there is actually something happening right now. And and we have data that they’re gonna show for for that. Like, the the large incumbents are now working on this as well, like virtual PLCs, software defined automation and all kinds of exciting things going on on the OT side. So we do believe that that we will see, we will see a shift, a true big shift on the OT side in terms of innovation, really the speed in which we can, we can improve and adopt new solutions on the OT side. And this is kind of exemplified by, like, what what is the endgame here? Like, you could say that the endgame could be that IT and OT once once again becomes the same high paced innovation domain. Right. But then we need to solve those underlying problems, the infrastructural problems that are still so persistent on the OT side of things. The fine point of this slide is to just illustrate what’s happening right now. It’s like cloud solutions for control is actually happening. Virtual PLC, software based automation, AI is happening all at once. And we see it with the big suppliers and and also the exciting startups that’s coming into this space. So I think there’s there’s lots of great excitement now that we can we can expect from the OT side, in in next few years. Shawn Tierney (Host): Yeah. You know, I wanna just, just for those listening, add a little, context here. If we look at 1980, why was that so important? Why is this on the chart? And if you think about it, right, we got networks like Modbus and, Data Highway in nineteen seventy eight, seventy nine, eighty. We also got Ethernet at that time as well. And so we had on the plant floor field buses for our controls, but in the offices, people were going to Ethernet. And then when we started seeing the birth of the public Internet, right, we’re talking about in the nineties, people who are working on the plant floor, they were like, no. Don’t let the whole world access by plant floor network. And so I think that’s where we saw the initial the the divide, you know, was 1980. It was a physical divide, just physically different topologies. Right? Different needs. Right? And then and and as the Internet came out in the early nineties, it was it was now like, hey. We need to keep us safe. We know there’s something called hackers on the Internet. And and I think that’s why, as you’re saying in 2006, when Gartner, you know, coined OT, we were seeing that there was this hesitant to bring the two together because of the different viewpoints and the the different needs of both systems. So I think it’s very interesting. I know you listeners, you can’t see this, but I kinda want to go back through that and kinda give some context to those early years. And and, you know, like Henrik says, you know, now that we’re past all that, now that we’re using Ethernet on the plant floor everywhere, right, almost everywhere, on all new systems, definitely, that that becomes the right now on this on the today on the, on the chart. And I’ll turn it back to you, Henrik. Henrik Pedersen (OTee): Yeah. I’ll search that. I just wanna echo that as I think that there are really good reasons for why this has happened. Like, the there has you could argue that innovation could flourish on the IT side because there was less critical systems, right, less, more, you know, you can do to fail fast and you can do, you can test out things on a different level. And so so there’s really lots of good reasons for why this has happened. We do believe that right now there is some really excitement around innovation, the OT side of things and and this pent up kind of, I wouldn’t call it frustration, but this pent up potential, I think is the right word, is is can be kind of unleashed in our industry for for the next, next decade. So so we are like this is really one of the key motivators for me personally. It’s, like, I truly believe there’s something truly big going on right now. And and I I do I do encourage everyone, everyone listening, like, get in get in on this. Like, this is happening. And, you know, be an entrepreneur as well. Like, build your company, build and, you know, create something new and exciting in this space. I think I think this is this is a time that there hasn’t been a better time to create a new new technology company or a new service company in this space. So this this, this is something at least that motivates me personally a lot. So let me move over to kind of what we do. I mentioned I mentioned that we focus solely on the virtual PLC. This this is now presented in the slide for those that are listening as a as a box inside a open hardware. We can deploy a virtual PLC on any, ARM thirty two thirty two and and sixty four bit processor and x eighty six sixty four bit with the Linux kernel. So so there are lots of great, options to choose from on the hardware side. And and, and yeah. So you can obviously when you have a Virtual PLC you can think of it new in terms of your system architecture. You could for instance, you know deploy multiple Virtual PLCs on this on the same hardware and you can also, think about it like you can use a virtual PLC in combination with your existing PLCs and could work as a master PLC or some kind of optimization deterministic controller. So it’s it’s really just opening up that, you know, that architectural aspect of things. Like you can think new in terms of your system architecture, and you have a wide range of hardware to choose from. And, and yeah, So the the flexibility is really the key here, flexibility in how you architect your system. That CPU that you deploy on will will obviously be need to be connected to to the field somehow, and that’s that’s true, classical remote IO, connections. So we currently support, Modbus TCP and Ethernet IP, which is kind of deployed to to, our production environment, as it’s called. So moving on to the next slide. Like, this is kind of the summary of our solution. We have built a cloud native IDE. So meaning anyone can can basically go to our website and log in to into the solution and and give it a spin. And, we’ll show you that afterwards with with Jake. And the system interacts through a PubSub data framework. We use a specific technology called NUTS, for the PubSub communication bus. And you can add MQTT or OPC UA to the PubSub framework, according to your needs. So, and from that, you can integrate with, whatever whatever other, software you might have, in your system. So we have these value points that we always like to bring up. Like, this obviously breaks some kind of vendor lock in in terms of the hardware and the software. But it’s also, our virtual PLC is based on on the six eleven thirty one. So it’s not a lock in to any kind of proprietary programming language or anything like that. There is, there’s obviously the cost, element to this that you can potentially save a lot of cost. We have, we have verified with with with some of our customers that they estimate to save up to 60% in total cost of ownership. This is there is obviously one part is the capex side and the other part is is the opex. And and is this data framework, as I mentioned, is in in in which itself is is future proof to some extent. You can you can integrate whatever comes comes in in a year or or in a few years down the line. And, there’s environmental footprint argument for this as you can save a lot on the on the infrastructure side. We have one specific customer that estimates to save a lot on and this this particular point is really important for them. And then final two points is essentially that we have built in a zero trust based security, principle into this solution. So we have role based access control. Everything is encrypted end to end, automatic certification, and things like that. The final point is, is that this is the infrastructure that allows you to bring AI and the classical, DevOps, the the thing that we’re very used to in the IT side of things. Like, you you commit and merge and release, instead of, instead of the traditional, way of working with your automation systems. So I know this is like, this is pro pretty much, like, the boring, sales pitch slide, but, but, yeah, I just wanted to throw this this out there for for the guys that there is some there is some, intrinsic values underneath here. The way the system works, you will you will see this very soon, through the demo, but it’s basically you just go to a website, you log in, you create a project. In there, you would create your your PLC program, test, you code, you simulate. You would onboard a device. So onboard that Linux device that you you want to deploy on. This can be as simple as a Raspberry Pi, or it can be something much more industrial grade. This depends on on on the use case. And then you would deploy services like, as I mentioned, MQTT and OPC UA, and then you would manage your your your system from from the interface. And, I have this nice quote that we got to use from one of the customers we had. This is a global, automotive manufacturer that, basically tells us that it’s, they they highlighted the speed in which you can set this up, as as one of the biggest values for them, saving them a lot of hours and setting setting up the system. So I also wanted to show you a real you know, this is a actual real deployment. It was it was deployed about a year ago, and this is a pump station, or a water and wastewater operator with around 200 pump stations. They had a mix of of Rockwell and Schneider PLCs, and they had a very high upkeep, and they were losing a lot of data from these stations because they were connected over four g. When the Internet was a bit poor, they lost a bit of data in their SCADA systems, so they had these data gaps and things like that. So pretty pretty, you know, standard legacy setup to be to be honest. Quite outdated PLCs as well. So what they what they did for the first, pump station was they they, you know, removed the PLC. They put in a Raspberry Pi for for, like, €60 or, like, $70, connected it to to a to a remote IO Ethernet IP module they had, in in the storage, and deploy this data framework as I’m showing on the screen now. So so they that was that was the first station they put online, and they they chose a Raspberry Pi because they thought, okay, this is interesting, but will it work? And then they chose a pump station, which was was really just poor from before. So they had very little to to to lose to to deploy on this station. So so, yeah, this has been running for a year now without any any problems on a Raspberry Pi. We have obviously advised against using a Raspberry Pi in a critical environment, but they just insisted that that what that’s what they wanted to do for this first case. Shawn Tierney (Host): And I’ll back that up too. Your generic off the shelf Raspberry Pi is just like a generic off the shelf computer. It’s not rated for these type of environments. Not that all pump houses are really bad, but they’re not air conditioned. And I think we’ve all had that situation when it’s a 120, 130 out that, you know, off the shelf computer components can act wonky as well as when they get below freezing. So just wanted to chime in there and agree with you on that. For testing, it’s great. But if you’re gonna leave it in there, if you were in my town and you say you’re gonna leave that in there permanently, I would ask to have you, assigned somewhere else for the town. Henrik Pedersen (OTee): Yeah. Yeah. Exactly. No. So and and that point is also illustrated with the second station they brought online. So there they chose a much more industrial grade CPU, that, that, was much, you know, cost cost a bit more, but it’s more suited for the environment. And, and yeah. So this was, I can disclose it was a Bayer Electronics, CPU. So so yeah. And, and they reported, some good, good metrics in terms of, like, the results. They they said around 50 on the hardware, 75% on the management of the PLC system. So this relates more to that they have very a lot of, you know, driving out with the car to these stations and doing changes to their systems and, and updates. They no longer have any, any data loss. It’s local buffer on the data framework. They’ve increased tag capacity with 15 x, resulting in in four fifty five x better data resolution and a faster scan frequency. And this is actually on the Raspberry Pi. So so just just think of it as as the the even the even the, kind of the lowest quality IT off the shelf, computers, are are able to to, to execute really fast in in in, or fast enough for for, for these cases. So, Shawn, that was actually what I wanted to say. And, and also, you know, yeah, we are we are a start up, but we do have, fifth users now in 57 different countries across the world. And it’s it’s really cool to see our our our, our technology being deployed around the world. And, and yeah. I’m really, really excited to to, to get more, users in and and hear what they what they, think of the solution. So so yeah. I’ll I’ll with that, I don’t know if, Shawn, you wanna you shoot any questions or if we should hand it over to Jake for for for a demo. Shawn Tierney (Host): Yeah. Just before we go to Jake, if somebody who’s listening is interested, this might be a good time. It said that, you already talked about being cloud based. It’s, o t e e. So Oscar Tom, Edward Edward for the the name of the company. Where would they go if if they like what Jake’s gonna show us next? Where will they go to find out more? Henrik Pedersen (OTee): Yeah. So I would honestly propose that they just, reach out to to me or Jake, on on one of the QR codes that we have on the presentation. But they can also obviously go to our website, 0t.io,0tee.io, and just, either just, log in and test the product, or they could reach out to us, through our website, through the contact form. So yeah. Shawn Tierney (Host): Perfect. Perfect. Alright, Jake. I’ll turn it over to you. Jacob Abel (Edgenaut): Thanks, Shawn. Fantastic stuff, Henrik. I wanna take a second too to kinda emphasize some of the technical points that you, presented on. Now first, the the fact that you have the built in zero trust cybersecurity is so huge. So, I mean, the OT cybersecurity is blowing up right now. So many certifications, you know, lots of, consulting and buzz on LinkedIn. I mean, it’s a very real concern. It’s for a good reason. Right? But with this, zero trust built in to the system, I I mean, you can completely close-up the firewall except for one outgoing port. And you have all the virtual PLCs connected together and it’s all done. You know, there’s no incoming ports to open up on the firewall to worry about, you know, that security concern. You know, it’s basically like, you know, you’ve already set up a VPN server, if you will. It’s it’s not the same, but similar and, you know, taking care of that connection already. So there’s an immense value in that, I think. Shawn Tierney (Host): And I wanted to add to the zero trust. We’ve covered it on the show. And just for people, maybe you’ve missed it. You know, with zero trust is you’re not trusting anyone. You authorize connections. Okay? So by default, nobody’s laptop or cell phone or tablet can talk to anything. You authorize, hey. I want this SCADA system to talk to this PLC. I want this PLC to talk to this IO. I want this historian to talk to this PLC. Every connection has to be implicitly I’m sorry. Explicitly, enabled and trusted. And so by default, you know, an an integrator comes into the plant, he can’t do anything because in a zero trust system, somebody has to give him and his laptop access and access to specific things. Maybe he only gets access to the PLC, and that makes sense. Think about it. Who knows whether his laptop has been? I mean, we’ve heard about people plug in to the USB ports of the airport and getting viruses. So it’s important that person’s device or a SCADA system or a historian only has access to exactly what it needs access to. Just like you don’t let the secretary walk on the plant floor and start running the machine. Right? So it’s a it’s an important concept. We’ve covered it a lot. And and, Jake, I really appreciate you bringing that up because zero trust is so huge, and I think it’s huge for OT to have it built into their system. Henrik Pedersen (OTee): Yeah. Absolutely. Absolutely. Jacob Abel (Edgenaut): I wanted to highlight too the Henrik mentioned that the the backbone of the system is running on a technology called NATS. That’s spelled n a t s. And why that’s important is this is a a lightweight messaging, service, and it’s designed to send millions of messages per second. You know, that’s opposed to, you know, probably the best Modbus TCP device that you can find. You might get a couple 100 messages through per second. It’s millions of messages per second. It’s, you know, especially with, you know, we’re dealing with AI machine learning, you know, training models. I mean, we’re data hungry. Right? So this gives you the backbone too. You know, it’s like it can push an immense amount of tag data, you know, with ease. I think that’s another really important point. With that, though, I’ll I’ll get on to the demo. Henrik Pedersen (OTee): Oh, that’s great. We do we do see that, Jay, that most of our customers report on that, you know, 400 or 700 x better data resolution. And so it’s it’s a step change for for for the data resolution there. Yeah. Jacob Abel (Edgenaut): Excellent. So one of the things that I personally love about OT is how quickly you can get into the PLC once everything’s set up. So this is OT’s website, obviously, ot.io. So once you’re here, you just go to log in. And that brings in the login screen. Now I’m are I’m using my Google account for single sign on, so I can just click continue with Google. And this brings me into the main interface. And another thing that I love is that, you know, it is very simple and straightforward, you know, and simple is not a bad thing. Simple is a good thing. I mean, the way that things should be is that it should be, it should be easy and the finer details are taken care of for you. So right here, we have our main project list. I just have this one benchmarking program that I’ve imported in here. And you also have device lists, just a a test device that I’ve installed the runtime on. Just real quick. You know, you have a Martha, the AI assistant in the corner here. And, the documentation guides is up here. So you can get help or look into reference material very easily. It’s all right there for you. So I’m gonna open up this program here. So just a quick tour here. Right up here in the top left is basically where where most everything’s done. So if you click on this little down arrow, you can choose what virtual PLC runtime to attach it to. I’ve already attached it to the device. I installed the runtime on. You can add, you know, a new program, driver, function blocks, custom data types real quick here. Compile your program, download it to the device. Check the release history, which is really, really great. As you can, you can go into release history and you can revert to a prior version very easily. We got built in, version control, which is another, great feature. Henrik Pedersen (OTee): I can also just comment on that, Jake, that we do have we do have, in the quite short term roadmap to also expand on that with Git integration, that, a lot of our customers are are asking for. So yeah. Jacob Abel (Edgenaut): Awesome. Yeah. I mean, that’s that’s another, very hot topic right now. It’s, you know, getting getting the revision control systems, as part of, you know, at least the textual, programming languages. See, so, you know, we have a few, like, housekeeping things here. I mean, you can delete the program, export it. It’s a good good point here is that, OT complies with the PLC open, XML specification. So you can import or export programs, in this XML format, and it should work with solid majority of other automation software out there. You know, if you need to, you want to transition over to OT, you know, you can export it from your other software and import it rather easily. Got your program list here and, you know, just the basic configuration of, you know, you can add global variables that you wanna share between the different programs and POUs or, you know, change the, cycle rate of the periodic tasks, add more tasks. Let’s just get jump into this program here. Both the system uses the IEC sixty one one thirty one dash three standard structured text. So here’s just a little, quick benchmark program that I’ve been using to do some performance testing. Like you, you have the, the code right here, obviously. And on our, our right, the variable list, very easy to add a new variable and pick out the type. You can set a set of default value, add some notes to it. Super easy. So let’s go online. So if you have these little glasses up here in the top, right, you display live tag values. And so it’s grabbing from the runtime that’s running and plopping it right in here in the editor, which I I love the way it’s displayed. It makes it. And, you know, it’s one of the question marks is if you’re doing structured text instead of letter logic, like how it’s gonna show up and how readable is it gonna be. I think the, the text, like the color contrast here helps a lot. It’s very, very readable and intuitive. And we also have the tag browser on the right hand side. Everything is, organized into, you know, different groups. There’s the the resources and instances that you’ve set up in the configuration tab. So the by default, the tag the tags are all listed under there. And here too, you know, you can set tag values doing some performance testing, as I said. So this is, recording some some jitter and task time metrics. And that’s that’s really it. That’s the that’s the cloud IV in a nutshell. Super easy, very intuitive. I mean, it’s there there’s zero learning curve here. Shawn Tierney (Host): For the, audio audience, just a little comment here. First of all, structured text to me seems to be, like, the most compatible between all PLCs. So, you know, everybody does ladder a little bit differently. Everybody does function blocks a little bit differently. But structured text and, again, I could be wrong if you guys think out there in the in listening, think I’m wrong about that. But when I’ve seen structured text and compared it between multiple different vendors, it always seems to be the closest from vendor to vendor to vendor. So I can see this makes a great a great place to start for OT to have a virtual PLC that supports that because you’re gonna be able to import or export to your maybe your physical PLCs. The other thing is I wanted to comment on what we’re seeing here. So, many of you who are familiar with structured text, you know, you may have an if then else, or an if then. And and you may have, like, tag x, equals, you know, either some kind of calculation, you know, maybe, you know, z times y or just maybe a a constant. But what we’re seeing here is as we’re running, they have inserted at a in a different color the actual value of, let’s say, tag x. So in between you know, right next to tag x, we see the actual value changing and updating a few times a second. And so it makes it very easy to kinda monitor this thing while it’s running and see how everything’s working, and I know that’s that’s huge. And I know a lot of vendors also do this as well, but I love the integration here, how it’s so easy to see what the current values are for each of these variables. And, I’ll turn it over to you, Hendrick. I think I interrupted you. Go ahead. Henrik Pedersen (OTee): Yeah. No. I was just gonna comment on that. Jake said, like, this is the this is the POC editor, and the next the next big feature that we’re releasing very soon is essentially the service, manager, which is the, which is the feature that will allow our users to deploy any kind of service very efficiently, like another runtime or OPC UA server or an entity server or or or whatever other, software components that that, you want to deploy, like a Knox server or things like that. So and that’s that’s, we were really excited about that because, that will kind of allow for a step change in how you kind of orchestrate and manage your system and your, your system and your, your, you have a very good overview of what’s going on with versions of, of the different software components running in your, your infrastructure and your devices and things like that. So we’re really excited about that, that it’s coming out. And it might be that actually when when this, episode airs, who knows if it’s if it’s done or or not, but we’re very close to release the first version of that. So excited about that. Shawn Tierney (Host): Now I have a question for you guys, and maybe this is off topic a little bit. So let’s say I’m up here in the cloud. I’m working on a program, and I have some IO on my desk I wanna connect it to. Is that something I can do? Is there a connector I can download and install my PC to allow the cloud to talk to my IO? Or is that something where I have to get a a, you know, a local, you know, like we talked about those industrial Linux boxes and and test it here with that? Henrik Pedersen (OTee): Yeah. So I think you what you what you’re you’re after is, like, the IO configuration of, if you wanna deploy a driver, right, or, like, a modbus driver and how you figure out the system. Right? Shawn Tierney (Host): Yeah. Because this is in the cloud. It’s not on my desk. The IO is on my desk. So how would I connect the two of them? How would I is is that something that can be done? Henrik Pedersen (OTee): Yep. Yeah. Exactly. That’s that’s actually the you know, I I think, Jake, you might just wanna show why you deploy a driver. Right? Jacob Abel (Edgenaut): Sure. Sure. And I just wanna take a second to, clarify. You know, it’s something that kinda comes up often, and I I don’t I don’t think it gets it’s it’s cleared up enough is that so, you know, we have this cloud ID here. So, you know, you can open this from anywhere in the world. But the virtual PLC run times get installed on computers preferably very locally, you know, on the machine, on the factory floor, something like that. I I’ve got, an edge computer right here. Just as an example. I mean, this is something you would just pop in the control panel and you can install OT on this. So to answer your question better, Shawn, you know, to get to, you know, the remote IO that you need essentially, or actually in the, in the case of this, this has onboard IO. You know, you’re looking at connecting with MOBAs, PCP, Ethernet IP. I I know that a lot more protocols are coming. Profinet. So how you would do that is that you have that plus sign up here and add a driver config. We’re just gonna do, Modbus real quick. Henrik Pedersen (OTee): Mhmm. Jacob Abel (Edgenaut): And we wanna add a TCP client. So you can name the client, tell it how fast to pull, you know, any delays, put in the IP address. Just an example. Do the port number if you need and then add your requests. You know, you have support for, all the main function codes and mod bus right here, you know, read holding, read input, you know, write multiple coils, all that good stuff, you know, tell address how many registers you wanna do, timeouts, slave ID. And then, you know, once you’ve done that, so let’s say, you know, I’m gonna read, and holding registers here, the table on the right auto updates. You can do aliases for each one of these. You can just do register one Mhmm. As an example Shawn Tierney (Host): It’s showing just for the audio audience, it’s showing the absolute address for all these modbus, variables and then, has the symbols, and he’s putting in his own symbol name. It has a default symbol name of symbol dash something, and he’s putting his own in, like, register one, which makes it easier. Yeah. Jacob Abel (Edgenaut): Good point. Yeah. Good point. Thanks, Shawn. So, yeah, once once you put in your request and you can throw in some aliases, for the different registers, you know, you can go back to your program and here’s this, sample variable that I just added from earlier. You know, you can the registers are 16 bits. I’m gonna select, an int. And what you can do here now is select those modbus requests that you just set up. So it automatically maps these to those variables for you. So that that way you don’t have to do anything anything manual, like have a separate program to say, you know, this tag equals, you know, register 40,001. You know, it’s already mapped for you. So that’s that’s essentially how you would connect to remote IO is, just add a client in the driver configs and, fill in all your info and be off and running. Shawn Tierney (Host): That’s excellent. I really liked how you were able to easily map the register to the modbus value you’re reading in or writing to to your, variable so you can use that in your program. That was very easy to do. Jacob Abel (Edgenaut): Oh, yeah. Yeah. It’s that it’s like I said, that’s one of the things that I love about this interface is that everything is just very straightforward. You know, it’s it’s super easy to just stumble upon whatever it is you need and figure it out. Henrik Pedersen (OTee): And just just, to add to to kinda your your processors, like, once you have created that connection between the IO and and and the program, you basically just, compile it and download it to the to the runtime again, and and it executes locally the based on the yeah. Nice. Jacob Abel (Edgenaut): Oh, right. Good point. Yeah. Of of course, after we add something, we do have to redownload. So Shawn Tierney (Host): Very interesting. Well, that answers my question. Jacob Abel (Edgenaut): I think that’s that’s about it for the the demo. I mean, unless, Shawn, you have any more questions about the interface here. Shawn Tierney (Host): No. It looked pretty straightforward to me, Hendrik. I don’t know. Did you have anything else you wanted to discuss while we have the demo up? Henrik Pedersen (OTee): Nope. Not nothing related to this except for that, you know, this is probably something that’s quite new in the OT space is that this is a software service, meaning that there are continuous development going on and releases, and improvements to the software all the time. Like literally every week we deploy new improvements. And, and what, I typically say is that like, the, you know, if you if you if you sign up with OT, what you what you will experience is that the actual software keeps on becoming better over time and not is not going to become outdated. It’s going to be just better over time. And I think that’s part of what I really loved about the innovation space, innovation happening around IT is that that, that has become the new de facto standard in how you develop software and great software. And I think we in, in, in the OT space, we need to adopt that same methodology of developing software, something that continuously becomes better over time. Shawn Tierney (Host): Yeah. And I would just say, you know, if you’re if you’re on the OT side of things, you wanna be in six eleven thirty one dash three languages, because these are things that your staff, you know, what you know, your electricians and technicians and even engineers, you know, should know, should be getting up to speed. I don’t know. We’re at the automation school. We’re teaching, structured text. And so, easier. I look at this, and I’m like, this is a lot easier than trying to learn c plus or or JavaScript. So in any case, I think, you know, if it’s an OT side real IO control, real control system or data collection, you know, you know, very important, you know, mission critical data collection, then, you know, I’d rather have this than somebody trying to write some custom code for me and, you know, use some kind of computer language who doesn’t understand, you know, the OT side of things. So, I could definitely see the advantage of your system, Henrik. Henrik Pedersen (OTee): Yep. I I I also wanted to say to that, Stike, the I I do not believe the EIC standards in general will disappear. They exist for a very good reason. Right. Exists to standardise to to ensure safety and determinists, determinism in this. So I don’t think they will disappear. But there are obviously advances now with AI and things like that that can can help us create these things much faster and much more efficient and things like that. So, so but, but the EIC standards, I think, will be there for a very long time. Obviously, the 06/4099 standard is is really exciting, and and we believe that that can be, yeah, that that can clearly be there, but it’s still a new EIC standard. So, Shawn Tierney (Host): it’s not think what we’re gonna see is we’re gonna see a lot more libraries fleshed out. There’ll be a lot less writing from scratch. We’ve interviewed on the History of Automation podcast. We’ve interviewed some big integrators, and they’re at a point now, you know, twenty, thirty years on that they have libraries for everything. And I think that’s where we’ll see, you know, much like the DCS, I think, vendors went two years ago. But I still think that the there’s a reason for these languages. There’s a reason to be able to edit things while they run. There’s a reason for different languages for different applications and different, people maintaining them. So I agree with you on that. I don’t I don’t think we’re we’re gonna see the end of these, these standard languages that have done us very well since the, you know, nineteen seventies. Jacob Abel (Edgenaut): I just wanna add a bit on there about, Shawn, you mentioned, you know, doing less code. I I did show earlier in the bottom right hand corner here, we have our our little AI assistant, Martha. I don’t believe the feature, it has been released yet. You know, Henrik, correct me if I’m wrong, but I know one of the things that’s coming is, AI code generation, you know, similar to that of cloud or chat GPT. So it’s going to, you know, you can open this guy up here. You know, right right now, I think it’s just for, help topics, but you’ll be able to talk to Martha and she’s gonna generate code for you in your program there all built in. Henrik Pedersen (OTee): Yeah. Yeah. That’s that’s coming really fast now. So, it’s it’s not been implemented yet, but it’s, it’s right around the corner. Shawn Tierney (Host): Yeah. And it’s it’s not gonna be able to it’s you’re not gonna be able to hook a camera up to it and, like, take pictures of your machine and say, okay. Write the control code for this. But, you know, if you had a, you know, process that had 12 steps in it, the AI could definitely help you generate that code and and other code. And we’ll have to have Henrik and Jake back on to talk about that when it comes out, but, you know, it’s gonna be able to save you, reduce the tedious part of the the coding. You know, if you need an array of so many tags and so many dimensions or, you know, the stuff that, you know, it would just be the typing intensive, it’s gonna be able to help you with that, and then you can actually put the context in there. Just like, you can pull up a template in Word for a letter, and then you can fill in the blanks. You know? And and, of course, AI is helping make that easier too. But, in any case, Henrik, maybe you can come back on when that feature launches. Henrik Pedersen (OTee): Yeah. Absolutely. And I’m also excited about just a simple a use case of of translating something. Right? Translating your existing let’s say if it’s a proprietary code or something like that, like, getting it getting it standardized and translating it to the ESE six eleven thirty one standard, for instance, or, so so the obviously AI is, like, perfect for this space. It’s there is no doubt, And and it’s, like, that’s also why I’m so excited about, like, what’s going on at the moment. It’s like there’s so much innovation potential, in the on the OT side now that, they are with all these new technologies. Shawn Tierney (Host): Yeah. Absolutely. Absolutely. Well, gentlemen, was there anything else you wanted to cover? Henrik Pedersen (OTee): I think just just one final thing from from me is, like, we thought a lot about it, like, before this this episode, and we thought, like, let’s offer let’s offer the listeners something something of of true value. So so we thought, the, you know, after this after this episode launched, we want to want to offer anyone out there that’s listening a free, completely hands on trial of our technology, in their in their in their environment or on their Raspberry Pi or whatever. So just just reach out to us if you wanna do that. And, and I yeah. We’ll get you set up for for for testing this, and it’s not gonna cost you anything. Shawn Tierney (Host): Well, that’s great. And, guys, if you’re listening, if you do take advantage of that free trial, please let me know what you thought about it. But, Henrik, thank you so much for, that offer to our listening audience. Guys, don’t be bashful. Reach out to him. Reach out to Jake. Jake, thank you for doing the demo as well. Really appreciate it. My pleasure. Any final words, Henrik, before we close out? Henrik Pedersen (OTee): No. It’s been great. Great, being here, Shawn, and thanks for for helping us. Shawn Tierney (Host): Well, I hope you enjoyed that episode. I wanna thank Hendrik and Jacob for coming on the show, telling us all about OT virtual PLCs, and then giving us a demo. I thought it was really cool. Now if any of you guys take them up on their free trial, please let me know what you think. I’d love to hear from you. And, with that, I do wanna thank OT for sponsoring this episode so we could release it completely ad free. And I also wanna thank you for tuning back in this week. We have another podcast coming out next week. It’ll be early because I will be traveling and doing an event with a vendor. And so expect that instead of coming out on Wednesday to come out on Monday if all goes as planned. And then we will be skipping the Thanksgiving, week, and then we’ll be back in the in the, in December, and then we have shows lined up for the new year already as well. So thank you for being a listener, a viewer, and, please, wherever you’re consuming the show, whether it’s on YouTube or on the automation blog or at iTunes or Spotify or Google Podcasts or anywhere, please give us a thumbs up and a like or a five star review because that really helps us expand our audience and find new vendors to come on the show. And with that, I’m gonna end by wishing you good health and happiness. And until next time, my friends, peace. Until next time, Peace ✌️  If you enjoyed this content, please give it a Like, and consider Sharing a link to it as that is the best way for us to grow our audience, which in turn allows us to produce more content

Chris Wallis lives in London, and grew up on a farm in the UK. He was the kid running around the countryside climbing trees - until his parents bought a computer when he was 15. Past that point, he didn't leave the house much, learning to code and digging into ethical hacking. Outside of tech, he is into tennis, swimming, alpine skiing and surfing. He finds himself in phases with these sports, and rotates them often.In the past, Chris was an ethical hacker, and spent a long time busting into big name systems. Eventually, he moved into one of those companies - and he realized that the tooling out there to discover attack surface weaknesses were lagging. He decided to build a platform that got the job done.This is the creation story of Intruder.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.intruder.io/https://www.linkedin.com/in/chris-wallis/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

"Git gud"? How about "git empathetic"? "Git compassionate"?Today we're talking about The Dark Queen of Mortholme by Mosu! A game about killing the hero and killing the hero and killing the hero and killing the hero and waiting for the hero and killing the hero and killing the hero and waiting for the hero and... waiting.......... for the hero.............. and......................... waiting..................................Get The Dark Queen of Mortholme on Steam or itch.io. Follow Mosu's work on their itch page!Discussed in the episode:Extinction Burst on Wikipedia---Support us on Kofi!Visit our website!Follow us on Twitch!Follow the show on Bluesky!Check out The Worst Garbage Online!---Art by Tara CrawfordTheme music by _amaranthineAdditional sounds by BoqehProduced and edited by AJ Fillari---Timecodes:(00:00) - Pugoween (01:11) - Become a member for the jumpscare-cut (02:08) - What is The Dark Queen of Mortholme? (06:38) - Commentary on the commentary (10:44) - The mechanics (13:24) - Very minor spoiler (14:16) - Bonding with the hero (16:27) - Where do Ornstein and Smough eat lunch? (18:29) - The mentorship arc (22:17) - The personality of the Queen (25:14) - NOT Chase's Big Takeaway (27:45) - Big-Sized Takeaways (28:39) - Hello (31:50) - Kim's Big Takeaway (36:35) - Chase's Big Takeaway (41:54) - AJ's Big Takeaway (51:30) - We've perservered to the end of the episode! ★ Support this podcast ★

229 - Marcus Deml In episode 229 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine,host James Patrick Regan speaks with Guitarist Marcus Deml. In their conversation Marcus talks about his physical journey as a child from the former Czech Republic to Austria and to Germany, Hamburg being his current home in the forest which also houses his studio. Marcus describes his gear in detail and talks about his friendship with fellow german Reinhold Bogner whom he met while attending GIT in Hollywood, Marcus is partially responsible for helping Bogner design the Ecstasy. Marcus takes us through his musical history, starting on jazz studying in Munich before moving to Hollywood to attend Musicians Institute and Marcus tells us why he chose MI and his goal of becoming a session guitarist. Marcus describes the culture shock of moving to Hollywood at 20 after growing up in Europe and he talks about his return to Europe after seven years of working doing sessions and teaching at MI as well as playing in the inevitable “hair bands” of the 80's. Marcus tells us about how he started doing sessions in Europe. Marcus tells us about becoming a brand, making pedals doing clinics running his own label, doing YouTube demos and making his own music, his current album is called “Pure”. Marcus talks about his guitar hero's particularly Gary Moore. Marcus discusses the financial aspects of touring and playing live and workshops. To find out more about Marcus you can go to his website: marcusdeml.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #MarcusDeml #BognerAmps #JamesPatrickRegan #GibsonGuitar #theDeadlies #Pure #GIT #FenderCustomShop #MusiciansInstitute #haveguitarwilltravelpodcast #HGWT #GaryMoore #EddieVanHalen #tourlife Please like, comment, and share this podcast! Download Link

En este nuevo episodio del podcast nos sumergimos de lleno en la evolución constante de Neovim para asegurar que tu entorno de desarrollo y tu productividad sigan a la vanguardia en 2025.Como sabéis, mi podcast "atareao con Linux" se centra en Linux y el software de código abierto, con un estilo muy práctico y orientado a tutoriales, buscando ofrecer soluciones y métodos para mejorar la productividad. Y no hay mejor herramienta para la productividad que un editor de código optimizado.De vez en cuando, es crucial revisar qué se está cocinando en el mundo Neovim, no solo para incorporar novedades sino para actualizar y optimizar la configuración de plugins ya existentes. Es un mundo que no para, con nuevos complementos apareciendo constantemente. Por eso, un año después de mi último recopilatorio similar (episodio 649, donde, por cierto, 3 de 5 plugins siguen siendo fundamentales), he vuelto a hacer un paseo por dotfiles.El resultado son cinco complementos que son IMPRESCINDIBLES para cualquiera que busque la máxima eficiencia al codificar, administrar archivos o gestionar repositorios, todo dentro de Neovim.Estos son los 5 Plugins que te permitirán EXPRIMIR Neovim:atone: Una auténtica genialidad y un descubrimiento que no imaginaba. Se trata de un árbol de deshacer visual. Este plugin resuelve el problema de tener que deshacer todos los cambios para volver a un estado anterior; con :Atone abres un historial visual donde puedes navegar y restaurar fácilmente. Es como tener un control de versiones a nivel de edición local.flash: Pasamos una enorme cantidad de tiempo navegando por nuestro código. flash es más que una simple mejora de los movimientos f o t; permite saltar a cualquier parte del texto de manera eficiente, buscar palabras completas o patrones, y realizar búsquedas contextuales, por ejemplo, saltando directamente a la siguiente función o variable. Acelera tu flujo de trabajo de forma dramática.tiny-inline-diagnostic: Este plugin soluciona uno de los problemas más molestos con los diagnósticos largos, especialmente los de Rust (que son increíblemente verbosos): el texto se cortaba. Ahora, con este complemento, los mensajes de error y sugerencias aparecen completos en vivo y en directo, sin necesidad de recurrir a plugins auxiliares.NeoGit: Un complemento que tenía instalado pero no interiorizado, y que he recuperado con un atajo de teclado () para forzar su uso. Neogit es una interfaz de usuario completa para git dentro de Neovim. Facilita todas las operaciones comunes de Git (ver estado, hacer commits, gestionar ramas) sin tener que abandonar la comodidad de tu editor. Un gran paso hacia la centralización de tareas de desarrollo.yazi: Finalmente, he resucitado este complemento que me permite utilizar el gestor de archivos Yazi integrado en Neovim. Aunque uso Neotree, la familiaridad y rapidez de Yazi para tareas específicas, como renombrar y reorganizar archivos de episodios, es una gran ventaja en mi flujo de trabajo.Más información y enlaces en las notas del episodio

Erez Druk grew up in Israel, but has been in the Bay Area for many years. He has a common theme in his life of obsessing over his current thing. In the 4th grade it was the saxophone, and later on it was being Israel's board game champion, and then - he became obsessed with startups. Outside of tech, he is married and expecting his first child. He's into exercising, reading and coffee. His favorite is going to a coffee shop with his wife, and having a cappuccino and a pastry - but at home, he leans towards his aeropress.Eight years ago, Erez met his wife who was heading into medical school. He got to see first hand how folks in the healthcare system work, and how hard their jobs are. After wrapping up his prior startup, he started down the path of building a solution that improved the lives of these clinicians.This is the creation story of Freed.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.getfreed.ai/https://www.linkedin.com/in/drukerez/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Mrinal Wadhwa grew up in India with a Dad in the Armed Forces, so he moved around a lot. His mother was a teacher for 40+ years, and greatly influenced his love for teaching. In addition to this, he grew up loving to build things. He was introduced to computers and the internet by his cousin - and at that point he was hooked. Outside of tech, he is married and enjoys attending concerts in the Bay Area. He plays pool, very seriously. In fact, he is the guy carrying the little bag into a party with his own pool stick.Mrinal is one of the minds behind Okham, a popular open source Rust toolkit to build secure communications between applications. Late last year, he observed people desiring to build the layer between agent communications... and decided to build something to do it the right way.This is the creation story of Autonomy.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://autonomy.computer/https://docs.ockam.io/https://www.linkedin.com/in/mrinalwadhwa/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

This show has been flagged as Explicit by the host. New hosts Welcome to our new hosts: Kirbotica, Thibaut, candycanearter. Last Month's Shows Id Day Date Title Host 4478 Wed 2025-10-01 YouTube Subscriptions 2025 #6 Ahuka 4479 Thu 2025-10-02 Who is the Algernon for Whom are the Flowers? Antoine 4480 Fri 2025-10-03 Arthur C. Clarke Becomes Successful Ahuka 4481 Mon 2025-10-06 HPR Community News for September 2025 HPR Volunteers 4482 Tue 2025-10-07 doodoo 4 the double deuce Jezra 4483 Wed 2025-10-08 HPR Beer Garden 3 - Porters Kevie 4484 Thu 2025-10-09 When Your Dentist Uses ChatControl Logic Trollercoaster 4485 Fri 2025-10-10 Git for Github and Gitlab Archer72 4486 Mon 2025-10-13 A code off my mind Lee 4487 Tue 2025-10-14 Is AI autistic? Antoine 4488 Wed 2025-10-15 Cheap Yellow Display Project Part 2: What is the problem? Trey 4489 Thu 2025-10-16 Hacks Poetic - Pilot Episode Kirbotica 4490 Fri 2025-10-17 Playing Civilization V, Part 4 Ahuka 4491 Mon 2025-10-20 Thibaut and Ken Interview David Revoy Thibaut 4492 Tue 2025-10-21 How to do a distribution upgrade of an Ubuntu LTS on a Digital Ocean droplet Rho`n 4493 Wed 2025-10-22 HPR Beer Garden 4 - Weissbier Kevie 4494 Thu 2025-10-23 Exploring FUTO Keyboard Antoine 4495 Fri 2025-10-24 An introduction to Taskwarrior candycanearter 4496 Mon 2025-10-27 Stroopwafel Lee 4497 Tue 2025-10-28 fixing 328eforth Brian-in-Ohio 4498 Wed 2025-10-29 Living the Tux Life Episode 1 Al 4499 Thu 2025-10-30 Greg Farough and Zoë Kooyman of the FSF interview Librephone lead developer Rob Savoye Ken Fallon 4500 Fri 2025-10-31 Arthur C. Clarke: 2001 and Sequels Ahuka Comments this month These are comments which have been made during the past month, either to shows released during the month or to past shows. There are 41 comments in total. Past shows There are 12 comments on 7 previous shows: hpr4238 (2024-10-30) "Snaps are better than flatpaks" by Some Guy On The Internet. Comment 4: BA on 2025-10-05: "Not a fan of any of them." hpr4453 (2025-08-27) "IPv6 for Luddites" by beni. Comment 7: Beni on 2025-10-22: "Link to the mentioned IPv6 talk on EuroBSDcon 2025" hpr4470 (2025-09-19) "HPR is twenty years old today. " by Lee. Comment 3: Steve Barnes on 2025-10-12: "Les petites félicites!" hpr4474 (2025-09-25) "Hacker Poetry - 001" by Major_Ursa. Comment 1: candycanearter07 on 2025-10-01: "love it" hpr4475 (2025-09-26) "The true audio file for walking tune to(wards) a friend" by FredBlack. Comment 1: brian-in-ohio on 2025-10-14: "Why fret about frets?" Comment 2: Folky on 2025-10-15: "Frets?" hpr4476 (2025-09-29) "Does AI cause brain damage?" by Trollercoaster. Comment 3: enistello on 2025-10-01: "Wonderful episode" Comment 4: Trollercoaster on 2025-10-02: "Re: Wondeful episode" hpr4477 (2025-09-30) "doodoo 3 a deuce plus 1" by Jezra. Comment 1: candycanearter07 on 2025-10-02: "cool app but" Comment 2: Archer72 on 2025-10-05: "Re: cool app" Comment 3: candycanearter07 on 2025-10-06: "Re: Re: cool app" Comment 4: أحمد المحمودي on 2025-10-07: "I use todoman" This month's shows There are 29 comments on 12 of this month's shows: hpr4478 (2025-10-01) "YouTube Subscriptions 2025 #6" by Ahuka. Comment 1: Anonymous 27 on 2025-10-02: "Excellent recommendations" hpr4479 (2025-10-02) "Who is the Algernon for Whom are the Flowers?" by Antoine. Comment 1: Trey on 2025-10-02: "Very interesting"Comment 2: Anonymous 27 on 2025-10-06: "Required Futurama reference" hpr4480 (2025-10-03) "Arthur C. Clarke Becomes Successful" by Ahuka. Comment 1: Archer72 on 2025-10-13: "Great show... and may the force be with you"Comment 2: Kevin O'Brien on 2025-10-13: "Thank you" hpr4483 (2025-10-08) "HPR Beer Garden 3 - Porters" by Kevie. Comment 1: Archer72 on 2025-10-16: "History of beer" hpr4484 (2025-10-09) "When Your Dentist Uses ChatControl Logic" by Trollercoaster. Comment 1: Trollercoaster on 2025-10-09: "Voting has been delayed"Comment 2: candycanearter07 on 2025-10-12: "Satire as a tool"Comment 3: Trollercoaster on 2025-10-14: "Re: Satire as a tool"Comment 4: operat0r on 2025-10-16: "Lol"Comment 5: Trollercoaster on 2025-10-20: "Re: Lol" hpr4485 (2025-10-10) "Git for Github and Gitlab" by Archer72. Comment 1: candycanearter07 on 2025-10-21: "useful introduction"Comment 2: Sayaci on 2025-10-21: "The content of the Archer72" hpr4486 (2025-10-13) "A code off my mind" by Lee. Comment 1: Trey on 2025-10-13: "Excellent perspectives " hpr4489 (2025-10-16) "Hacks Poetic - Pilot Episode" by Kirbotica. Comment 1: Ken Fallon on 2025-10-16: "What a waste !"Comment 2: Trey on 2025-10-16: "Thought provoking..."Comment 3: Claudio on 2025-10-16: "A Refreshing HPR Episode!"Comment 4: Alexander on 2025-10-17: "Just threw my iPhone in the ocean..."Comment 5: Kevin O'Brien on 2025-10-17: "I loved the show"Comment 6: Tori on 2025-10-21: "When Nostalgia Meets the Digital Age"Comment 7: brian-in-ohio on 2025-10-22: "Don't burn out" hpr4491 (2025-10-20) "Thibaut and Ken Interview David Revoy" by Thibaut. Comment 1: brian-in-ohio on 2025-10-22: "Great show"Comment 2: Henrik Hemrin on 2025-10-26: "Inspiring" hpr4493 (2025-10-22) "HPR Beer Garden 4 - Weissbier" by Kevie. Comment 1: folky on 2025-10-22: "Hefeweizen is best ;-) "Comment 2: paulj on 2025-10-22: "Great Episode!"Comment 3: Claudio on 2025-10-23: "Great Episode I Can Relate To!"Comment 4: Gan Ainm on 2025-10-26: "Scottish-Bavarian IPW" hpr4495 (2025-10-24) "An introduction to Taskwarrior" by candycanearter. Comment 1: Archer72 on 2025-10-15: "First show: Good explanation" hpr4500 (2025-10-31) "Arthur C. Clarke: 2001 and Sequels" by Ahuka. Comment 1: Archer72 on 2025-10-16: "Deep dive" Mailing List discussions Policy decisions surrounding HPR are taken by the community as a whole. This discussion takes place on the Mailing List which is open to all HPR listeners and contributors. The discussions are open and available on the HPR server under Mailman. The threaded discussions this month can be found here: https://lists.hackerpublicradio.com/pipermail/hpr/2025-October/thread.html Events Calendar With the kind permission of LWN.net we are linking to The LWN.net Community Calendar. Quoting the site: This is the LWN.net community event calendar, where we track events of interest to people using and developing Linux and free software. Clicking on individual events will take you to the appropriate web page.Provide feedback on this episode.

Shamba Chowdhury got his first computer at an early age. He was the kid that explored every button and every setting, trying to figure out how it all worked. His curiosity exploded when he was 15 and the internet came around. Post that, his first foray into programming came from his love of playing video games. Outside of tech, he loves to read, in particular crime thrillers. He noted that his favorite is A Minute to Midnight by David Baldacci.Shamba and his co-founder have participated in many hackathons, and they noticed how difficult it was to stitch together ideas, utilizing AI technology. It was at that point they decided to build a no code builder to wire up AI agents together.This is the creation story of DeForge.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://deforge.io/https://www.linkedin.com/in/shambac/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Zohar Bronfman spends most of his time in Tel Aviv, Israel these days. He has a focused academic background, specifically in philosophy and neuroscience. He was always intrigued by the question - how do we know what we know? - which led him to get a PhD in Philosophy. While doing that, he also became fascinated with he human mind and empirical decision making, which took him down the road of obtaining another PhD in AI & Neuroscience, essentially emulating brain processes. Outside of tech, he has 3 kids and a startup. He loves a good book in the philosophy or neuroscience space, and is a big fan of sports. Specifically, he loves the NBA and claims to be a Knicks fan.Zohar and his now co-founder were digging into predictive models, as an extension of their academic studies. They were curious as to why companies, though they were running predictive models, were not making accurate predictions. They soon realized that this was because the AI modeling expertise was centralized at couple of well known companies.This is the creation story of Pecan AI.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.pecan.ai/https://www.linkedin.com/in/zohar-bronfman/https://demandforecast.ai/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

An early essay by Karl Marx writing at the beginning of the industrial revolution argued that humans who were formerly craftspeople were now just cogs in the industrial machine alienated from the products they made and their work.   Today's podcast is sponsored by Inductive Automation, makers of Ignition — the world's most versatile industrial automation platform for connecting data, systems, and people. With the new Ignition 8.3 release, you can easily manage time-series and event data, quickly create custom graphics with onboard drawing tools, and centralize control using Ignition's new gateway interface with global search and deep link launching. Providing additional support for Git, containers, and private data protection to go along with its unlimited licensing, Ignition 8.3 takes industrial operations to the next level. Download Ignition for free.   The Irish poet/philosopher John O'Donohue discussed in Anam Cara the dignity of work and that work should benefit workers and communities as well as owners and managers.   Lean guru Keven Meyer noted in his book Simple Leader that respect for people is a pillar of Lean. When you hire someone, you are getting more than a pair of hands—you are getting a brain and experience, as well. You should make use of them.   Articles about a worker shortage due to Boomer retirements have been a staple of trade magazine editorial ever since I became an editor in 1998. Some twenty-seven years later, those articles and news releases keep coming.   I learned about a new product from Derek Crager, Founder & CEO of Practical AI for onboarding and mentoring new employees. There is irony here, in that Crager touts himself as developer of an award-winning training program at Amazon—yes, the place that thinks it can replace its workers with robots. But, we will go beyond that thought for now.   His solution? Just-in-time guidance—the right step at the exact moment of need, while hands are on the task. When a technician can ask and do in the same breath, training becomes throughput. That's the difference between teaching a concept and multiplying your best expert across every line and shift.   He called on his experience at Amazon to develop something called Pocket Mentor: A Phone Call to Your Best Expert. This is a hands-free, eyes-free mentor your team reaches by phone, anytime, on the floor or in the field. No app. No Wi-Fi. No passwords. Just tap & say, “Talk me through it” — and we will.   Check out TheManufacturingConnection.com for more thoughts.

Tanmai Gopal is a repeat guest on the podcast. Back in Season 7, he came on to tell the creation story of Hasura, which is a universal data access layer for next generations apps. He talked through he and his colleagues frustration with building API after API, and taking steps to ensure people wanted to not do that work anymore.As Hasura started to take off, Tanmai started to ask the question around what was the right method for developers, in particular their applications, to access data. With the advent of AI, he and his team dug into what the right problems were to solve - and they identified the main problem with this type of tech was accuracy and trust.This is the creation story of PromptQL.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://promptql.io/https://www.linkedin.com/in/tanmaig/https://codestory.co/podcast/e20-tanmai-gopal-hasura-graph-ql/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Ryan Wang has had a winding set of paths to get to where he is today. He studied economics and statistics, with the intent of going to grad school and becoming a professor. After talking with his boss at the time, Steven Levitt (also one of the authors of Freakonomics), he was convinced that was not the best path. Eventually, he joined stripe via nepotism, and became a software developer via data science. Outside of tech, he loves to read about different topics. Right now, he is reading about owls, and also loves to read fiction and poetry. In fact, he drops poetry occasionally at his current venture.While at Stripe, back when it was an 80 person company, Ryan noticed people doing support tickets on their own. After he spent some time there, he and his now co-founder started to tinker in machine learning for support. As he made progress, a leader pointed out that the real problem was around workforce management.This is the creation story of Assembled.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.assembled.com/https://www.linkedin.com/in/ryanywang/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Mike & Tommy debate the new Power BI Project (PBIP) format, questioning whether source control and Git integration are worth the added complexity, and discussing who should migrate from the traditional PBIX binary format.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Topics covered in this episode: * djrest2 -* A small and simple REST library for Django based on class-based views. Github CLI caniscrape - Know before you scrape. Analyze any website's anti-bot protections in seconds. *

Sam Partee started out his love for tech/engineering by working on cars. After many y ears of working on cars, and even starting his own car stereo installation business, he decided that cards were finite and moved onto computers. He fell in love with the space, and the rest is history, filled with super computers, AI, distributed training, Redis and the lot. Outside of tech, he loves to take long hikes with his snowy husky.Sam and his team built a prior solution, an agent to solve bugs for you. They ran into a litany of problems, but eventually figured out that there was a dire need for an authorization for the activities that agents wanted to do on your behalf. Fast forward, and they are working with Anthropic to define these auth protocols.This is the creation story of Arcade.SponsorsVentionCodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.arcade.dev/https://www.linkedin.com/in/sampartee/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this potluck episode of Syntax, Wes and Scott answer your questions about why devs neglect their own websites, hosting shady projects (hypothetically), AI rules in version control, balancing side projects and family life, and more! Show Notes 00:00 Welcome to Syntax! 01:43 Why devs neglect their own websites (and how to convince your parents coding is a real job) 07:04 AirPods, Nothing Ear, and the ANC struggle 10:22 Shipping Syntax merch from Canada 12:43 Scott's update on Omarchy and Linux laptop life 18:05 What to do when a user account gets hacked (and how to prevent it) 21:33 Should you commit LLM context files and AI-generated docs to Git? 25:27 How to balance career, side projects, and family life 29:25 Building and hosting a “legally dubious” website 33:27 Best practices for dealing with images 42:46 Where to find Wes' awesome wallpapers 44:19 Can you trust services with a generous free tier? ServerlessHorrors 50:32 Do we still use GIFs? 52:23 Sick Picks + Shameless Plugs 55:59 Brought to you by Sentry.io Sick Picks Scott: Mkv-Quicklook Wes: Momofuku Sweet & Savory Korean BBQ Sauce Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Polymorphic Python Malware Xavier discovered self-modifying Python code on Virustotal. The remote access tool takes advantage of the inspect module to modify code on the fly. https://isc.sans.edu/diary/Polymorphic%20Python%20Malware/32354 SSH ProxyCommand Vulnerability A user cloning a git repository may be tricked into executing arbitrary code via the SSH proxycommand option. https://dgl.cx/2025/10/bash-a-newline-ssh-proxycommand-cve-2025-61984 Framelink Figma MCP Server CVE-2025-53967 Framelink Figma s MCP server suffers from a remote code execution vulnerability.

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

The only structure of fetal gastrointestinal tract (GIT) which is seen on routine second trimester anomaly scan is the fetal stomach. Under normal conditions, the fetal stomach "bubble" is seen on the left side of the fetal abdomen. This is a normal finding on an ultrasound and indicates the stomach's normal position. There are two functions of the fetal GIT: 1. Propulsive action by peristalsis which takes the swallowed amniotic fluid up to the small bowel; 2. Absorption – the amniotic fluid is absorbed through the fetal small bowel. When the stomach is found prenatally to be located on the right side, it is called dextrogastria. Today in our high-risk prenatal clinic, we encountered a patient whose fetus was found to have this rare condition dextrogastria. Is this an isolated issue? What does this mean for clinical outcomes. Listen in for details.1. Versteegh HP, Adams SD, Boxall S, Burge DM, Stanton MP. Antenatally diagnosed right-sided stomach (dextrogastria): A rare rotational anomaly. J Pediatr Surg. 2016 Feb;51(2):236-9. doi: 10.1016/j.jpedsurg.2015.10.060. Epub 2015 Nov 4. PMID: 26655213.2. A Case Report Of An Isolated Dextrogastria Diagnosed In First Trimester Ultrasound Screening: https://hjog.org/?p=35403. Docx MKF, Steylemans A, Govaert PIsolated dextrogastria in a newbornArchives of Disease in Childhood - Fetal and Neonatal Edition 2015;100:F513.4. https://www.researchgate.net/publication/43349867_Isolated_dextrogastria_A_case_report5. Aziz, S., König, S., Noor, H. et al. Isolated dextrogastria with eventration of right hemidiaphragm and hiatal hernia in an adult male. BMC Gastroenterol 22, 56 (2022). https://doi.org/10.1186/s12876-022-02127-x