Podcasts about Software development

Aaron talks with Ovais Tariq, co-founder and CEO of Tigris Data and former Uber engineer who helped scale one of the world's largest distributed systems. They discuss Uber's hyperscale infrastructure, what it takes to build an S3-compatible object store from scratch, and how distributed storage is evolving for the AI era.Follow Ovais:Twitter: https://twitter.com/ovaistariqLinkedIn: https://www.linkedin.com/in/ovaistariqTigris: https://www.tigrisdata.comFollow Aaron:Twitter/X:  https://twitter.com/aarondfrancis Database School: https://databaseschool.comDatabase School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g  (Subscribe today)LinkedIn: https://www.linkedin.com/in/aarondfrancisWebsite: https://aaronfrancis.com - find articles, podcasts, courses, and more.Chapters:00:00 - Introduction and overview of the episode01:35 - Ovais's background and introduction to Tigris03:00 - Building distributed databases and infrastructure at Uber06:00 - Uber's in-house philosophy and massive data scale09:00 - Hardware, power density, and talking to chip manufacturers12:00 - Learning curve of scaling hardware and data centers14:00 - The Halloween outage and lessons from Cassandra16:00 - Building data centers across the world for Uber17:00 - Founding Tigris and the vision for global storage18:45 - How Tigris differs from AWS S320:00 - The architecture of Tigris: caching, metadata, and replication32:00 - Why Tigris uses FoundationDB and its reliability36:00 - Managing global and regional metadata38:00 - How Tigris dynamically moves and caches data41:30 - Building their own data centers and backbone43:45 - Specialized storage for AI workloads46:00 - Small file optimization and real-world use cases49:00 - Snapshots, forking, and agentic AI workflows51:00 - How AI transformed Tigris's customer base54:00 - Partnership with Fly.io and the distributed cloud ecosystem57:00 - Growth, customers, and focus on media and AI companies59:00 - What's next for Tigris: distributed file system plans1:01:00 - Technical challenges and building trust in durability1:03:00 - Call to action: try Tigris and upcoming snapshot feature1:05:00 - Advice for engineers leaving big companies to start something new1:06:30 - Where to find Ovais online and closing remarks

In this episode of the Business of Laravel podcast, host Matt Stauffer sits down with Arvid Kahl, founder of Podscan, a platform that transcribes and analyzes podcasts. Arvid shares his journey from developer to entrepreneur, the challenges of marketing as a builder, and how deeply understanding your customers shapes great products. They also dive into the role of AI in development and marketing, and how Arvid began using Laravel. Matt Stauffer TwitterTighten WebsiteArvid on TwitterPodscanThe Boot Strapped FounderThe Boot Strapped Founder PodcastThe Startups for the Rest of Us Podcast The SaaS PlaybookStart Small, Stay SmallHooked: How to Build Habit-Forming ProductsIndistractable: How to Control Your Attention and Choose Your Life-----Editing and transcription sponsored by Tighten.

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview here:https://gotopia.tech/episodes/389Alessandro Colla - Partner & Head of Development at Evoluzione & Co-Author of "Domain-Driven Refactoring"Alberto Acerbis - Software Architect at Intré & Co-Author of "Domain-Driven Refactoring"Xin Yao - Independent Consultant Contextualizing DDD & Sociotechnical ArchitectureRESOURCESAlessandrohttps://www.linkedin.com/in/alessandrocollahttps://www.alessandrocolla.comAlbertohttps://www.linkedin.com/in/aacerbishttps://albertoacerbis.comXinhttps://bsky.app/profile/settling-mud.bsky.socialhttps://www.linkedin.com/in/xinxinLinkshttps://github.com/PacktPublishing/Domain-driven-Refactoringhttps://github.com/BrewUpDESCRIPTIONLegacy code isn't just old - it's a treasure chest of lost business knowledge waiting to be rediscovered. Alessandro Colla and Alberto Acerbis share their battle-tested approach to domain-driven refactoring, explaining why you should start with understanding the business problem before touching a single line of code. Like Michelangelo seeing the statue of David hidden in marble, they show how the right solution already exists within your legacy codebase—you just need the right tools and techniques to set it free.From event storming workshops over beer to modular monoliths as stepping stones, these "double-A battery" developers prove that thoughtful, incremental refactoring beats flashy microservices migrations every time.RECOMMENDED BOOKSColla & Acerbis • Domain-Driven Refactoring • https://amzn.to/3I3I7zfEvans • Domain-Driven Design • https://amzn.to/3tnGhwmVernon • Implementing Domain-Driven Design • https://amzn.to/44r39PBNilsson • Applying Domain-Driven Design and Patterns • https://amzn.to/3GoxYwInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

- GM Restructures Software Development - NextStar Won't Produce EV Batteries Anytime Soon - Samsung Partners with BMW On Solid-State Batteries - China Eases Export Restrictions on Chips - Renault To Build Geely Vehicles in Brazil - Renault In Talks with China OEMs To Jointly Build Cars - Geely Tops 300K Monthly Sales For 1st Time - Waymo Eyes Canada Expansion - Toyota Reveals Fuel Cell Powered Tacoma Concept

New proposal: go vet check for using %q with integer typesBlog: I'm Independently Verifying Go's Reproducible Builds by Andrew AyerJetBrains' language promise indexReddit: Why I built a ~39M op/s, zero-allocation ring buffer for file watchingBlog: A modern approach to preventing CSRF in Go ★ Support this podcast on Patreon ★

I see people get lucky, but I never do. How do I get the promotion, get recognized, get the opportunity, or get ahead? How do I capture some of that luck? These are the questions we will answer in today's episode of Dev Questions.Website: https://www.iamtimcorey.com/ Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

In this episode of Database School, Aaron talks with Preston Thorpe, a senior engineer at Turso who is currently incarcerated, about his incredible journey from prison to rewriting SQLite in Rust. They dive deep into concurrent writes, MVCC, and the challenges of building a new database from scratch while discussing redemption, resilience, and raw technical brilliance.Follow Preston and Turso:LinkedIn: https://www.linkedin.com/in/PThorpe92Preston's Blog: https://pthorpe92.devGitHub: https://github.com/PThorpe92Turso: https://turso.techFollow Aaron:Twitter/X:  https://twitter.com/aarondfrancis Database School: https://databaseschool.comDatabase School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g  (Subscribe today)LinkedIn: https://www.linkedin.com/in/aarondfrancisWebsite: https://aaronfrancis.com - find articles, podcasts, courses, and more.Chapters:00:00 - Intro and Preston's story02:13 - How Preston learned programming in prison06:06 - Making his parents proud and turning life around09:01 - Getting his first job at Unlock Labs10:47 - Discovering Turso and contributing to open source12:53 - From contributor to senior engineer at Turso22:27 - What Preston works on inside Turso24:00 - Challenges of rewriting SQLite in Rust26:00 - Why concurrent writes matter27:57 - How Turso implements concurrent writes35:02 - Maintaining SQLite compatibility37:03 - MVCC explained simply43:40 - How Turso handles MVCC and logging46:03 - Open source contributions and performance work46:23 - Implementing live materialized views50:55 - The DBSP paper and incremental computation52:55 - Sync and offline capabilities in Turso56:45 - Change data capture and future possibilities1:02:01 - Implementing foreign keys and fuzz testing1:06:02 - Rebuilding SQLite's virtual machine1:08:10 - The quirks of SQLite's codebase1:10:47 - Preston's upcoming release and what's next1:14:02 - Gratitude, reflection, and closing thoughts

Laravel expert Joel Clermont joined me on Ditching Hourly to share how he and his co-founder run their successful dev subscription business. Chapters(00:00) - Introduction and Guest Introduction (00:16) - Joel's Background and Business Model Transition (01:54) - Launching the Dev Subscription Model (04:47) - Marketing and Initial Success (07:44) - Client Profiles and Demand (11:19) - Managing Client Expectations and Scope (18:58) - Onboarding and Project Management (21:21) - Handling Messy Projects and Infrastructure (25:06) - Client Capacity and Longevity (26:47) - Exploring Client Sizes and Ideal Fits (28:39) - Balancing Workload and Client Expectations (32:06) - Ensuring Client Satisfaction (34:47) - Managing Work and Time Effectively (43:11) - Challenges and Downsides of Subscription Model (47:54) - Marketing Strategies for Developers (52:52) - Conclusion and Resources Joel's LinksJoel's website » https://nocompromises.io/Joel's books » https://masteringlaravel.io/booksJoel's courses » https://masteringlaravel.io/coursesJoel's community » https://masteringlaravel.io/community ----Do you have questions about how to improve your business? Things like:Value pricing your work instead of billing for your time?Positioning yourself as the go-to person in your space?Productizing your services so you never have to have another awkward sales call or spend hours writing another custom proposal?Book a one-on-one coaching call with me and get answers to these questions and others in the time it takes to get ready for work in the morning.Best of all, you're covered by my 100% satisfaction guarantee. If at the end of the call, you don't feel like it was worth it, just say the word, and I'll refund your purchase in full.To book your one-on-one coaching call, go to: https://jonathanstark.com/callI hope to see you there!

Thanks to Forge for sponsoring this episode!Find Forge at https://withforge.com/. They are HIRING! Find Forge's jobs page here: https://in-the-forge.notion.site/hiring-rolesDRAFT RELEASE NOTES — Go 1.26Coding Challenge #100 - BitTorrent ClientThe Evolution of Caching Libraries in GoThis episode was recorded in front of a live studio audience, during a GoSF meetup. ★ Support this podcast on Patreon ★

I know you're out there. The developer who watches their colleagues enthusiastically embrace Claude Code and Cursor, having AI write entire feature sets while you proudly type every semicolon by hand. The founder who sees AI-generated code as a ticking time bomb of bugs and security vulnerabilities. The software entrepreneur who believes that real code comes from human minds, not language models.This one's for you.This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/ai-for-the-code-writing-purist-how-to-use-ai-without-surrendering-your-keyboard/The podcast episode:  https://tbf.fm/episodes/420-ai-for-the-code-writing-purist-how-to-use-ai-without-surrendering-your-keyboardCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Send us a textIn this episode of What's New in Cloud FinOps, Stephen Old and Frank discuss the latest updates in cloud computing, including AWS Outposts' integration with third-party storage, new Amazon EC2 Mac instances, Azure's managed services, and Google Cloud VM Engine updates. They also explore pricing changes in Azure, the deprecation of Azure Machine Learning data labeling, and the introduction of new metrics in software development. The conversation highlights the importance of sustainability in cloud services and concludes with reflections on the podcast's five-year anniversary.TakeawaysAWS Outposts now supports third-party storage integration with Dell and HPE.Amazon EC2 introduces new Mac instances for developers.Azure managed services now include Grafana dashboards at no extra cost.Google Cloud VM Engine V1 SKUs are now end of sale.Azure UltraDisk pricing has been reduced significantly in specific regions.Azure Machine Learning data labeling will be deprecated by 2026.AWS Transform Assessment helps visualize storage migration benefits.New cost to serve software metric introduced by AWS.Cortex Framework now deploys sustainability modules for SAP.AWS Lambda cold start billing changes will take effect in 2025.

In this episode, Aaron talks with Joran Greef, CEO and creator of TigerBeetle, the world's first financial transactions database. Joran takes us on a deep dive of on how TigerBeetle brings double-entry accounting principles directly into the database layer to achieve extreme correctness, performance, and fault tolerance at scale.Follow Joran and TigerBeetle:Twitter/X: https://twitter.com/jorandirkgreefWebsite: https://tigerbeetle.comGitHub: https://github.com/tigerbeetle/tigerbeetleTiger Style: https://github.com/tigerbeetle/tigerbeetle/blob/main/docs/TIGER_STYLE.mdYouTube: https://www.youtube.com/@UC3TlyQ3h6lC_jSWust2leGg Follow Aaron:Twitter/X:  https://twitter.com/aarondfrancis Database School: https://databaseschool.comDatabase School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g  (Subscribe today)LinkedIn: https://www.linkedin.com/in/aarondfrancisWebsite: https://aaronfrancis.com - find articles, podcasts, courses, and more.Chapters:00:00 - Introduction and crossover between accounting and databases01:50 - Meet Joran Greef and the origins of TigerBeetle02:55 - What makes TigerBeetle different from general purpose databases04:38 - The founding story and the 5,000-year history of transactions07:42 - How modern commerce became highly transactional10:06 - Recognizing the limits of general purpose databases13:18 - From distributed systems to payment infrastructure17:01 - Discovering bottlenecks in traditional database performance19:58 - Why traditional databases can't scale for microtransactions23:05 - Introducing double-entry accounting concepts25:20 - How double-entry accounting mirrors database design31:35 - Modeling ledgers and event sourcing in Tiger Beetle35:02 - Why TigerBeetle outperforms Postgres and MySQL40:05 - Batching transactions for massive throughput47:09 - Client-side batching and zero-copy efficiency50:04 - Handling contention and concurrency internally56:03 - Ensuring correctness and atomicity in transactions57:17 - Designing for mission-critical systems and reliability1:00:50 - Building safety through deterministic simulation testing1:04:55 - Detecting and recovering from storage faults1:10:00 - How TigerBeetle prevents data corruption1:17:01 - Distributed replication and self-healing data1:20:08 - Who's using TigerBeetle and how it's structured as a company1:24:01 - How to learn more and get involved with TigerBeetle1:26:15 - Closing thoughts and where to find Joran online

Most enterprise AI pilots fail because companies treat agent development like legacy software projects. Woodson Martin, CEO of OutSystems and former Salesforce executive who led the Krux acquisition, explains why deterministic platforms beat "vibe coding" for production deployments. He breaks down agentic workflow architecture that gives enterprises control over which processes stay human-supervised versus fully automated, shares specific productivity metrics from oil rig safety inspections that prove ROI, and reveals why mortgage underwriting automation hits 98% straight-through processing while preserving customer relationships.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Shiv is in conversation with Naresh Choudhary, Senior Vice President, Quality & Productivity, Infosys Ltd.Naresh shares his career journey starting from humble beginnings in Mumbai, studying engineering at VJTI, working at Arvind Mills, and eventually contributing to Infosys for 25 years. The discussion covers his transition from manufacturing to IT, the influence of mentors, various roles at Infosys, and the importance of reframing roles. Naresh also emphasizes the value of great work, networking, mentorship, and maintaining a work-life balance. He talks about driving innovation and change management effectively within a large organization through transparent communication, planning, and continuous feedback. Finally, Naresh offers personal practices like journaling, exercising, and separating work from family time to stay grounded and calm.00:00 Welcome and Introduction00:23 Early Career and Education02:00 Transition to Infosys03:43 Roles and Responsibilities at Infosys07:16 Mentorship and Career Growth10:28 Defining Great Work15:32 Overcoming Self-Doubt and Imposter Syndrome19:28 The Importance of Mentors24:23 Networking and Time Management29:19 Clearing the Mind for Focus29:51 Work-Life Balance and Breaks30:59 Organizational Change and Trust33:51 Planning and Transparency in Change34:51 Process Over Tools36:04 Sponsorship and Milestone Reviews37:46 Encouraging Knowledge Sharing43:58 Innovation and Idea Management47:33 Staying Grounded Amidst Responsibilities53:00 Personal Practices for Balance56:48 Conclusion and Final ThoughtsBio:In his stint at Infosys over 2 decades, Naresh has worked in different roles in Software Delivery, Consulting, Quality Assurance, Open Source, Enterprise Platforms, Products, Tools & Technology that have provided him opportunities to work on key transformation programs.Naresh has experience in Software Development, Quality System Design, Process definition, Implementation and Consulting, Product & Platform Engineering, Software Reuse, Knowledge Management, Training, Audits and Assessments. He possesses a sound understanding of various quality models, methodologies and frameworks like CMMI, ISO, Six Sigma, MBNQA, AI, Automation,  Agile, DevSecOps & SRE.Naresh participates on several product councils and advisory boards with Infosys' global technology partners and is currently leading the effort on reimagining the tooling, engineering excellence, digital platforms, Lean and automation landscape for the enterpriseHe is a self confessed Foodie, History enthusiast, Amateur Chef, Motivational Speakerhttps://www.linkedin.com/in/nareshchoudhary/

Go 1.25.3 and 1.24.9 released

Connect with Will at: https://bsky.app/profile/wiverson.com https://www.linkedin.com/in/wiverson Mentioned during the series: Will's Youtube channel: https://changenode.com/ https://www.youtube.com/@ChangeNode Robots, Trump, manufacturing: https://youtu.be/kdHOwXw2B2g?si=vAqzrR5yj3ZRS4do Svelte: https://madewithsvelte.com/ui-library The post 310 Paradigm shifts in software development via AI: better software? More of it? Modernization? first appeared on Agile Noir.

In this episode, Mazen Chami sits down with Mustafa Ali (Director of Engineering and Head of Mobile at Shopify) and Thiago Magalhães (Staff Software Developer at Shopify) to dive deep into Shopify's transition to the new React Native architecture. Show NotesShopify Blog: Migrating to React Native's New Architecture by Thiago MagalhaesRNR 319: Shopify goes full throttle throttle on React Native with Mustafa Ali Connect With Us!Mazen Chami: @mazenchamiMustafa Ali: @mustafa01aliThiago Magalhães: LinkedInReact Native Radio: @reactnativerdio This episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

In today's Cloud Wars Minute, I share insights from Chris Pope on how automation can boost morale, reduce costs, and accelerate delivery.Highlights00:02 — Today's episode is brought to you by AutomatePro, a ServiceNow partner. They want to talk about a new product they have that is helping to change the software development lifecycle. AutomatePro Chief Product Officer Chris Pope recently spoke with my colleague Kieron Allen, and I wanted to highlight some of the key parts of that.00:43 — They said they try to automate some of this drudgery and the mundane work. That's in areas like testing, documentation. It's not stuff that talented developers want to be doing — though it's a central part of the process. So when AutomatePro steps in and says, “Hey, we can take care of that for you,” it allows those highly skilled developers to move on to more meaningful work.01:18 — The benefits of what AutomatePro does in working with the ServiceNow platform: they accelerate the process, they boost employee morale — which is so important today — and especially this ability to lower cost. It was a key point that Chris made a number of times in the conversation with Kieron: AutomatePro helps to augment humans, not replace them.02:10 — So, he said, "We meet people where they're already working." He said that could be in a native state, through a portal, or through any other part of the process. Ultimately, what that allows is — he said, “Wherever the developers are working, we're there — where the developer already is and is already working.”03:06 — This reflects the powerful ecosystem that ServiceNow has been intent on building for the last several years. So we see these Cloud Wars Top 10 companies, like ServiceNow, have an enormous range of capability. But, as each frequently says, “We can't do everything,” and we're counting on partners like AutomatePro to step in and be able to add significant value.03:34 — One: it lowers costs. Two: it accelerates software development. Three: it improves morale. And it does so while augmenting what humans do — rather than replacing humans. Very interesting.Check out the full interview between Kieron Allen and Chris Pope. Visit Cloud Wars for more.

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview here:https://gotopia.tech/episodes/385Kief Morris - Author of "Infrastructure as Code" & Distinguished Engineer at ThoughtworksAbby Bangser - Principal Engineer at Syntasso & Team Topologies AdvocateRESOURCESKiefhttps://bsky.app/profile/kief.comhttps://twitter.com/kiefhttps://github.com/kiefhttps://www.linkedin.com/in/kiefmorrishttps://kief.comAbbyhttps://bsky.app/profile/abangser.bsky.socialhttps://twitter.com/a_bangserhttps://github.com/abangserhttps://www.linkedin.com/in/abbybangserhttps://www.syntasso.io/members-area/abby/profileLinkshttps://infrastructure-as-code.comDESCRIPTIONAbby Bangser (Principal Engineer at Syntasso) speaks with Kief Morris (Distinguished Engineer at Thoughtworks consultant and Author of "Infrastructure as Code") about the evolution of infrastructure as code over the past decade. They discuss how the field has grown from simple server configuration management to complex cloud architectures, the challenges of current tooling, and emerging solutions like System Initiative.The conversation explores the importance of abstraction layers, the application of software development principles to infrastructure, and how AI might transform the field. They emphasize that infrastructure decisions must align with business needs rather than being treated as generic plumbing, highlighting the ongoing need for platform engineering and developer experience considerations.RECOMMENDED BOOKSKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQDave Thomas • simplicity • https://amzn.to/43FghBJDave Thomas & Andy Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Jamie and Jaeden discuss the release of Anthropic's Claude Sonnet 4.5, highlighting its advancements in coding capabilities. They explore how this model outperforms previous versions and other AI coding tools, emphasizing its ability to create production-ready applications. The discussion also touches on the rapid evolution of AI in software development and the implications for entrepreneurs and developers alike.Our Skool Community: https://www.skool.com/aihustleTry AI Box: https://aibox.aiTo recommend a guest email: guests(@)podcaststudio.comYouTube Video: https://youtu.be/R1FAwqLGsBMChapters00:00 Introduction to Claude Sonnet 4.501:32 The Impact of Claude Sonnet 4.5 on Coding05:23 Comparative Analysis of AI Coding Models08:57 Future of AI in Software Development

Security releases

We're living through a fascinating moment in software development. AI coding tools can build features faster than ever before. They can scan entire codebases, spot things we might miss, and implement changes across dozens of files in seconds. It's incredible.But there's something we need to talk about. Something that's quietly accumulating in our projects while we marvel at how quickly we can ship features.This is called comprehension debt.This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/why-ai-generated-code-hurts-your-exit/The podcast episode: https://tbf.fm/episodes/418-why-ai-generated-code-hurts-your-exitCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Harness co-founder Jyoti Bansal highlights a growing issue in software development: while AI tools help generate more code, they often create bottlenecks further along the pipeline, especially in testing, deployment, and compliance. Since its 2017 launch, Harness has aimed to streamline these stages using AI and machine learning. With the rise of large language models (LLMs), the company shifted toward agentic AI, introducing a library of specialized agents—like DevOps, SRE, AppSec, and FinOps agents—that operate behind a unified interface called Harness AI. These agents assist in building production pipelines, not deploying code directly, ensuring human oversight remains critical for compliance and security.Bansal emphasizes that AI in development isn't replacing people but accelerating workflows to meet tighter timelines. He also notes strong enterprise adoption, with even large, traditionally slower-moving organizations embracing AI integration. On the topic of an AI bubble, Bansal sees it as a natural part of innovation, akin to the Dotcom era, where market excitement can still lead to meaningful long-term transformation despite short-term volatility. Learn more from The New Stack about the latest in Harness' AI approach to software development: Harness AI Tackles Software Development's Real Bottleneck  Harnessing AI To Elevate Automated Software Testing Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI coding has emerged as a major market for AI: one that's already rewriting how software gets built.a16z Infra Partners Yoko Li and Guido Appenzeller break down how “agents with environments” are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first (like legacy code migration). We also cover token economics for engineering teams, the emerging agent toolbox (sandboxes, code search/parsing, agent-optimized docs, orchestration), and founder opportunities when you treat agents as users, not just tools.Read the blog post here.Find Yoko here: https://x.com/stuffyokodrawsFind Guido here: https://x.com/appenz Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview here:https://gotopia.tech/episodes/383Pragmatic Dave Thomas - Pragmatic Programmer Turned PublisherSarah Taraporewalla - CTO APAC at ThoughtworksRESOURCESDavehttps://pragdave.mehttps://twitter.com/pragdavehttps://github.com/pragdavehttps://linkedin.com/in/dave-thomas-53aa1057Sarahhttps://sarahtaraporewalla.comhttps://twitter.com/sarahtaraphttps://www.linkedin.com/in/sarahtaraporewallahttps://github.com/staraporfLinkshttps://pragprog.comhttps://agilemanifesto.orgDESCRIPTIONSarah Taraporewalla (CTO APAC at Thoughtworks) sits down with programming legend Dave Thomas—co-founder of The Pragmatic Programmer and co-creator of principles like DRY (Don't Repeat Yourself)—to discuss his latest book "Simplicity."Dave reveals why he believes "Agile is Dead" and shares his disillusionment with how agile practices have become rigid, corporate processes rather than the flexible, value-driven approach originally envisioned in the Agile Manifesto he helped create. The conversation centers around his new Orient-Step-Learn framework, designed to help individual developers master true simplicity through deliberate practice and feedback loops, emphasizing that real simplicity requires mastery and cannot be achieved overnight.Dave advocates for developers to take personal agency, reduce unnecessary dependencies, and focus on what they can control rather than waiting for organizational change, arguing that simplicity is ultimately about cutting away complexity to reveal elegant, minimal solutions.RECOMMENDED BOOKSDave Thomas • simplicity • https://amzn.to/43FghBJDave Thomas & Andy Hunt • The Pragmatic Programmer • https://amzn.to/43QuMBjDave Snowden & Friends • Cynefin • https://amzn.to/3FSnF3Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

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.

What happens when a telehealth CTO takes AI beyond code generation and into the heart of the software development lifecycle?Matt Buckleman, Co-founder and CTO of Hone Health, joins to share how his team uses AI not just to accelerate development, but to rethink workflows—from documentation and traceability to sentiment analysis across teams. This episode dives deep into how he's blending engineering fundamentals with modern AI agents to create a smarter, more adaptive SDLC.Key Takeaways• Why AI's biggest near-term value isn't in code generation—it's in improving process and communication.• How Hone Health evolved its SDLC from three engineers on Slack to a 30+ person organization using agent-based automation.• The hidden advantage of consistent naming conventions and traceability when applying AI to production systems.• How AI can automate the “soft” but essential parts of software delivery, like documentation, requirements gathering, and developer sentiment tracking.• What it takes to create feedback loops that make AI genuinely useful inside technical workflows.Timestamped Highlights[02:09] Flexible, anti-dogmatic SDLC: why strict process frameworks can slow learning.[09:00] When more engineers doesn't equal more output—the hidden cost of coordination.[13:00] AI for experts vs. juniors: why prompting mirrors domain mastery.[18:38] Offloading the unglamorous work: how LLMs now handle code comments, documentation, and swagger generation.[23:50] Shared ownership and experimentation: how Hone's engineering team pilots new AI tools.[28:40] Turning meeting transcripts into smarter requirements: how agents refine specs automatically.[32:00] Using sentiment analysis to spot risk and burnout across engineering projects.Memorable Line“LLMs are great at patterns in text—and that makes them better than people at understanding what's really happening inside your workflow.”Call to ActionIf you enjoyed this conversation, follow The Tech Trek on Spotify or Apple Podcasts for more real-world discussions at the intersection of AI, engineering, and leadership. Share this episode with a teammate rethinking their own SDLC.

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

Tom Marazzo is a Canadian military veteran and author. He served 25 years in the Canadian Armed Forces, rising to the rank of Captain, with expertise in battle planning, negotiations, and public speaking. After retiring in 2015, he earned a Bachelor of Technology in Software Development and an MBA, later working as a community college instructor until 2020. Marazzo is known for his leadership in the 2022 Freedom Convoy protests and his book, The People's Emergency Act: Freedom Convoy 2022. We discuss emergency preparedness. Freedom of expression on campus study link:https://aristotlefoundation.org/study/freedom-of-expression-on-campus-a-survey-of-students-perceptions-of-free-speech-at-canadian-universities/Tickets for the Prairie Rising Forum:https://prairierisingforum.ca/To watch the Full Cornerstone Forum: https://open.substack.com/pub/shaunnewmanpodcastGet your voice heard: Text Shaun 587-217-8500Silver Gold Bull Links:Website: https://silvergoldbull.ca/Email: SNP@silvergoldbull.comText Grahame: (587) 441-9100Bow Valley Credit UnionBitcoin: www.bowvalleycu.com/en/personal/investing-wealth/bitcoin-gatewayEmail: welcome@BowValleycu.com Use the code “SNP” on all ordersProphet River Links:Website: store.prophetriver.com/Email: SNP@prophetriver.comExpat Money SummitWebsite: ExpatMoneySummit.com

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubPiotr Sarna - Co-Author of "Writing for Developers" & Founding Engineer at poolsideGlauber Costa - Founder & CEO at TursoRESOURCESPiotrhttps://bsky.app/profile/sarna.devhttps://github.com/psarnahttps://www.linkedin.com/in/sarna-devhttps://bio.sarna.devGlauberhttps://bsky.app/profile/glaubercosta.bsky.socialhttps://github.com/glommerhttps://www.linkedin.com/in/glommerhttps://glaubercosta-11125.medium.comLinksGet 45% discount with code: *GOTOdunlop*: http://mng.bz/Y7oKhttps://writethat.bloghttps://writethat.blog/?year=2025&month=3https://turso.tech/blog/zig-helped-us-move-data-to-the-edge-here-are-our-impressions-67d3a9c45af4https://www.scylladb.com/2021/09/28/hunting-a-numa-performance-bughttps://devblogs.microsoft.com/typescript/typescript-native-porthttps://news.ycombinator.com/item?id=42378843DESCRIPTIONGlauber Costa interviews engineer Piotr Sarna about his evolution from a reluctant writer to a successful technical book author. They discuss writing as an engineering discipline, common engineering blog post patterns, and why even introverted non-native English speakers should be blogging.RECOMMENDED BOOKSPiotr Sarna & Cynthia Dunlop • Writing for Developers • https://amzn.to/3Z3rzgfCardeneti Mendes, Sarna, Emelyanov & Dunlop • Database Performance at Scale • https://amzn.to/3ZNBqqJNicole Foster • How To Write In Plain English • https://amzn.to/3XaTWHfInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

For episode 611 of the BlockHash Podcast, host Brandon Zemp is joined by Tim Lewis, Co-founder of tea.xyz.Tea Protocol's CoinList token launch comes at a pivotal moment as critical open-source infrastructure faces a funding crisis. With Shipyard ceasing support for libp2p, the networking backbone powering Ethereum, IPFS, and $100B+ worth of blockchain networks, on September 30th due to resource constraints, Tea.xyz's blockchain-based solution for compensating open-source maintainers has never been more relevant.  Founded by Homebrew creator Max Howell, Tea represents the convergence of crisis and solution, demonstrating how crypto can finally solve real infrastructure problems rather than fueling speculation. ⏳ Timestamps: (0:00) Introduction(1:17) Who is Tim Lewis?(6:10) What is Tea Protocol?(10:36) Solutions for open source software development(18:45) Dev incentivization & contributors(20:52) Tea Token Sale(22:47) Tea roadmap(26:12) Events & Conferences(27:25) Tea website, socials & community 

Conference videos

A couple of years ago, I tweeted that “the best tech stack is the one you already know.” To this day, this is one of my most resonating tweets. People keep bringing it back, and founders who've been around for a while seem to particularly agree with it. But AI changes things. Or does it?This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-best-tech-stack-in-the-age-of-ai/ The podcast episode: https://tbf.fm/episodes/417-the-best-tech-stack-in-the-age-of-aiCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

On this episode of Screaming in the Cloud, Corey welcomes back Chris Weichel, CTO of Ona (formerly Gitpod). Chris explains the rebrand and why Ona is building for a future where coding agents, not just humans, write software.They discuss what changes when agents spin up environments, why multi-agent workflows feel addictive, and how Ona is solving the scaling and safety challenges behind it.If you're curious about the next wave of software engineering and how AI will reshape developer tools, this episode is for you.About Chris: Chris Weichel is the Chief Technology Officer at Ona (formerly Gitpod), where he leads the engineering team behind the company's cloud-native development platform. With more than two decades of experience spanning software engineering and human–computer interaction, Chris brings a rare combination of technical depth and user-centered perspective to the systems he helps design and build.He is passionate about creating technology that empowers people and tackling complex engineering challenges. His expertise in cloud-native architecture, programming, and digital fabrication has earned him multiple publications, patents, and industry awards. Chris is continually exploring new opportunities to apply his broad skill set and enthusiasm for building transformative technology in both commercial and research settings.Show Highlights(00:00) Introduction to Modern Software Interfaces(00:55) Welcome to Screaming in the Cloud(01:02) Introducing Chris Weichel and Ona(02:23) The Evolution from Git Pod to Ona(03:26) Challenges and Insights on Company Renaming(05:16) The Changing Landscape of Software Engineering(05:54) The Role of AI in Code Generation(12:04) The Importance of Development Environments(15:44) The Future of Software Development with Ona(21:31) Practical Applications and Challenges of AI Agents(30:01) The Economics of AI in Software Development(38:11) The Future Vision for Ona(39:41) Conclusion and Contact InformationLinks: Christian Weichel LinkedIn: https://www.linkedin.com/in/christian-weichel-740b4224/?originalSubdomain=deOna: https://ona.com/https://csweichel.de/Sponsor: Ona: https://ona.com/

Where are we at in software development? Is software development going away? How is AI changing what it means to be a software developer? Is it possible to get a job as a software developer? These are the questions we will answer in today's episode of Dev Questions.Website: https://www.iamtimcorey.com/ Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

In this episode, Sean and Kelly welcome Pritesh Patel, a computer scientist specializing in AI who brings over 20 years of experience from companies like Turner Broadcasting, Walmart, and GE to his current role at Fisher Phillips law firm. Pritesh shares fascinating insights about implementing AI in knowledge-based industries, from automating his parents' frozen yogurt shop to helping lawyers transform their workflows. The conversation explores crucial concepts like the "Jobs to Be Done" framework, which emphasizes focusing on outcomes rather than getting stuck in existing processes. Pritesh explains how he approaches AI education through playfulness and intuition-building—whether that's getting Batman to sing "Twinkle, Twinkle Little Star" in ChatGPT or creating AI personalities that debate humans. The discussion touches on the importance of maintaining accountability while delegating responsibility to AI tools, the power of curiosity in adoption, and how reinforcement learning might shape the future of AI integration. Key resources mentioned: - Strategyn Jobs to Be Done Framework (https://strategyn.com/) - Tony Ulwick's innovation methodology - NotebookLM (https://notebooklm.google.com/) - Google's AI-powered research tool - Suno.ai (https://suno.com/) - AI music generation platform - OpenAI's Real-time API for voice interactions Special Guest: Pritesh Patel.

Meetups and Conferences

Connect with Will at: https://bsky.app/profile/wiverson.com https://www.linkedin.com/in/wiverson Mentioned during the series: Will's Youtube channel: https://changenode.com/ https://www.youtube.com/@ChangeNode Robots, Trump, manufacturing: https://youtu.be/kdHOwXw2B2g?si=vAqzrR5yj3ZRS4do Svelte: https://madewithsvelte.com/ui-library The post 309 Are Software Development jobs GONE FOR GOOD—or just Evolving? first appeared on Agile Noir.

Expo SDK 54 and React Native 0.81 are a perfect match—and our hosts Mazen Chami, Frank Calise, and Tyler Williams are here to break it all down. In this episode, they dive deep into everything new in Expo SDK 54, from faster precompiled iOS builds to the sleek Liquid Glass feature and Android 16 support. If you want the complete rundown of what's fresh, powerful, and ready to use in Expo SDK 54, this episode has you covered. Show NotesExpo SDK 54 beta is now availablePrecompiling the Expo SDK for iOSExpo AutolinkingInfinite Red's articlePhil Pluckthun's article Connect With Us!Mazen Chami: @mazenchamiFrank Calise: @frankcaliseTyler Williams: @coolsoftwaredevReact Native Radio: @reactnativerdio This episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

In this episode of Tech Bytes, Dan Hafner speaks with Tatiana Kobzar, the founder of Diversito, an award-winning software development company. They discuss the journey of building a software company, the common blind spots startups face, the importance of gamification in user engagement, and the challenges of managing multiple roles as an entrepreneur. Tatiana shares insights on how to motivate users and the significance of understanding user experience in product development. The conversation emphasizes the need for effective marketing strategies and the value of documentation in software development.

This episode was recorded at https://www.imaginationinaction.co/  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends    Amjad Masad is the Co-Founder & CEO of Replit Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures  – Connect with Amjad: https://replit.com/  X: https://x.com/amasad  Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Salim: X Listen to MOONSHOTS: Apple YouTube – *Recorded on Sep 9th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to episode #1002 of Thinking With Mitch Joel (formerly Six Pixels of Separation). What if code isn't just software, but the culture script of our age shaping what we notice, how we decide and who holds power? That's the provocation at the heart of Sam Arbesman's new book, The Magic Of Code - How Digital Language Created And Connects Our World - And Shapes Our Future, which he uses to reveal how programming moves from the screen into the fabric of everyday life. Sam is Scientist in Residence at Lux Capital and a visiting scholar at Harvard. He connects emerging technologies with human systems and helps founders, leaders and the rest of us make sense of complexity. He is also the author of two other influential books (The Half-Life of Facts and Overcomplicated). In this episode, we get a plain-English tour of why coding now functions as cultural literacy, why “vibe coding” and natural-language tools lower barriers without removing responsibility, and how to think clearly about the trade-offs when AI accelerates creation but also amplifies hidden assumptions. Sam breaks down how to treat algorithms less like oracles and more like instruments, demystifying engagement mechanics on social platforms, highlighting the shrinking shelf life of facts and offering ways to keep agency when tools get smarter and more opaque. These are practical frames for navigating complex systems (and their failure modes), along with a humane case for humility in product and policy and a reminder that the goal isn't more tech for its own sake, but better versions of ourselves using it. If you care about where code, culture and creativity meet… and how to keep your bearings as the ground shifts… this one delivers both the big picture and next steps for smarter, more intentional use of the tools we're all inheriting. Enjoy the conversation... Running time: 56:47. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Sam Arbesman. The Magic Of Code - How Digital Language Created And Connects Our World - And Shapes Our Future. The Half-Life of Facts. Overcomplicated. Lux Capital. Sign up for Sam's newsletter. Follow Sam on LinkedIn. Chapters: (00:00) - Exploring the Role of a Scientist in Residence. (03:08) - The Evolution of Knowledge and Information. (05:50) - The Importance of Coding in Modern Society. (08:54) - Demystifying Coding and Access to Technology. (12:11) - Cultural Shifts in Technology Perception. (15:08) - Understanding the Complexity of Code. (17:58) - Code as the Grammar of Modern Civilization. (20:48) - The Impact of Code on Society. (24:08) - The Future of AI and Coding. (32:58) - The Evolution of Programming. (36:14) - Vibe Coding: The Future of Software Development. (39:44) - Democratizing Software: Customization for Everyone. (43:09) - The Complexity of Technology and Trust. (48:28) - Understanding Complex Systems. (51:58) - Human Limitations in Technology. (54:09) - The Role of Technology in Shaping Humanity.

BONUS: Jochen Issing on Building High-Performing Engineering Teams In this BONUS episode, we explore the fascinating journey of Jochen Issing, an engineering leader who brings unique insights from his background as a handball player and band member to building exceptional software development teams. From sports courts and music stages to engineering leadership, Jochen shares practical wisdom on psychological safety, team dynamics, and creating cultures where the best ideas win. From Sports and Music to Software Leadership "As soon as you complain about each other, you are starting to lose." Jochen's unconventional background as a handball player and band member has profoundly shaped his approach to engineering leadership. Drawing from team sports, he discovered that frustration leads to losing in both athletics and technology work. Great players in great teams optimize for the team's results, not individual glory. This translates directly to software development where great engineers slow down to make the team faster, recognizing that collective success trumps individual achievement. The lesson from the handball court is clear: when team members start blaming each other, they create a losing mindset that becomes self-fulfilling. Breaking the 10X Engineer Myth "It's not your success that makes our success, it's our success that makes your success." The mythology of the 10X engineer remains pervasive in software development, but Jochen challenges this with insights from team dynamics. The "hero culture" in companies often emerges when systems are already broken, requiring someone to step in and save the day. While we celebrate these heroes, we forget to ask the crucial question: how did we end up needing a hero in the first place? True high-performing teams don't require heroic individual efforts because they've built sustainable systems and shared knowledge. The goal isn't to eliminate talented individuals but to ensure that even the most skilled engineers can take time off without the organization grinding to a halt. Creating Psychological Safety Through Vulnerability "When psychological safety is missing, I try to ask ignorant questions - expose myself as being the least experienced person in the room." Building psychological safety requires intentional strategies that go beyond good intentions. Jochen employs a counterintuitive approach: when he senses team members hesitating to speak up, he deliberately asks "ignorant" questions to position himself as the least knowledgeable person in the room. This modeling behavior demonstrates that it's safe to admit uncertainty and ask questions. He also builds a culture of "challenging ourselves" by implementing ritualized dissent - assigning someone the specific job of finding flaws in proposed solutions. This prevents the dangerous harmony that can emerge when teams agree too quickly without proper scrutiny. The Power of the Expectation Sheet "I want people to share with me what might even drive them away from the company." Trust forms the foundation of effective team relationships, but building it requires explicit frameworks. Jochen uses an "expectation sheet" (See a prototype here Google Doc)- a document that formalizes mutual expectations between him and his team members. This tool establishes that he wants open, honest communication about everything, including situations that might drive someone to leave the company. The key principle is that he will never share confidential information or use personal disclosures against team members. This creates a relationship where he serves as both a representative of the company when necessary and a personal advocate for his team members when they need support navigating organizational challenges. Team-Centric Productivity and Collaboration "The team is the unit of productivity and delivery, not the individual." Effective engineering leadership requires balancing individual desires with team outcomes. Jochen emphasizes that while people naturally want to say "I did this," the focus must remain on team impact. This involves creating shared understanding of collective goals while still addressing individual needs and growth aspirations. Practical strategies include using on-call rotations to identify knowledge silos, implementing pair programming and mob programming to reinforce collaborative work patterns, and designing tasks that allow individuals to take ownership while remaining embedded in team efforts. The analogy to band dynamics is apt - when someone brings a song idea to the band, it evolves through collaboration into something different and usually better than the original vision. Building Sustainable High Performance "Great engineers slow down to make the team faster - which is how we get better teams." Sustainable high performance emerges when senior engineers invest in lifting the entire team rather than maximizing their individual output. This means senior staff level engineers focus less on their personal contributions and more on forming "tribes" across teams, coaching junior engineers, and building organizational capability. The measure of success shifts from individual heroics to collective achievement - if problems consistently require the same person to fix them, the team hasn't truly succeeded in building sustainable systems and shared knowledge. Recommended Resources for Further Reading Jochen recommends several foundational books for understanding team dynamics and engineering leadership. "The Culture Code" by Daniel Coyle explores the structure of high-performing teams and debunks myths about command-and-control leadership. "Product Development Flow" by Reinertsen provides the scientific foundation behind agile methodologies and explains what teams are really trying to solve. "The Culture Map" by Erin Meyer offers insights on working with diverse cultures and backgrounds to bring out the best in each team member. "Coaching Agile Teams" by Lyssa Adkins serves as a practical guide for developing coaching skills in technical environments. And our very own Scrum Master Toolbox podcast provides ongoing insights and real-world experiences from practitioners in the field. About Jochen Issing Jochen is an engineering leader who's all about building great teams and better developer experiences. From audio tech and cloud platforms to monorepos and feedback culture, he's done it all. A former bandmate and handball player, Jochen brings heart, trust, and collaboration into everything he builds with his teams. You can connect with Jochen Issing on LinkedIn and connect with Jochen Issing on Twitter.

Thanks Gabriel Augendre for guest co-hosting this episode!Visit cupogo.dev for all the links.

This week, Mazen is joined by Infinite Red teammates Frank Calise and Tyler Williams to unpack everything included in the huge React Native 0.81 release. They cover Android 16 support, precompiled iOS builds, and many other updates! Show NotesReact Native 0.81 Blog ArticleExpo SDK 54 Beta Blog Article Connect With Us!Mazen Chami: @mazenchamiFrank Calise: @frankcaliseTyler Williams: @coolsoftwaredevReact Native Radio: @reactnativerdio This episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

In this episode of the Investor Fuel Podcast, host Michelle Kesil speaks with real estate agent Cait Hudson about her journey in the real estate industry and the development of her software platform, Nest Hub. Cait shares her experiences as an agent, the challenges she faced, and the innovative solutions she created to improve communication between realtors and buyers. The conversation covers the importance of video marketing, lessons learned in real estate, and the unique features of Nest Hub that aim to streamline the buying process. Cait emphasizes the significance of building relationships and investing in oneself to succeed in the industry.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Shawn Dsouza: The Database Migration Disaster— Why Software Development Teams Need Psychological Safety Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn worked with a skilled team migrating a database from local to cloud-based systems, supported by a strong Product Owner. Despite surface-level success in ceremonies, he noticed the team avoided discussing difficult topics. After three months of seemingly smooth progress, they delivered to pre-production only to discover 140 critical issues. The root cause? Unspoken disagreements and tensions that festered beneath polite ceremony facades. The situation deteriorated to the point where a senior engineer quit, teaching Shawn that pausing to address underlying issues doesn't cost time—it builds sustainability. In this segment, we refer to the episodes with Mahesh Jade, a previous guest on the Scrum Master Toolbox podcast. Featured Book of the Week: The Advice Trap by Michael Bungay Stanier Shawn discovered this transformative book when he realized he was talking too much in team meetings despite wanting to add value. The Advice Trap revealed how his instinct to give advice, though well-intentioned, was actually self-defeating. The book taught him to stay curious longer and ask better questions rather than rushing to provide solutions. As Shawn puts it, "The minute you think you have the answer you stop listening"—a lesson that fundamentally changed his coaching approach and helped him become more effective with his teams. Self-reflection Question: When working with teams, do you find yourself jumping to advice-giving mode, or do you stay curious long enough to truly understand the underlying challenges? [The Scrum Master Toolbox Podcast Recommends]

Bret Taylor is the CEO of Sierra and Chairman of the Board of OpenAI. He previously served as co-CEO of Salesforce. I sat down with Bret to explore how the AI revolution compares to previous platform shifts and what it means for both startups and incumbents navigating this transition. (00:00) Introduction and Recent Milestone (00:38) AI Market and Historical Comparisons (02:30) Competitive Landscape and Business Models (06:02) Outcome-Based Pricing and Value Creation (13:52) Technological Shifts and Business Transitions (26:32) Adoption Challenges and Forward Deployed Engineering (37:21) Early Investment in Snowflake and Cloud Strategy (38:02) Enterprise Software Market Dynamics (38:38) AI Agents and Implementation Costs (41:06) Democratization of Software Development (43:35) The Future of Software Companies and AI Agents (49:36) Consumer Behavior and AI Agents (58:56) The Role of AI in Customer Experience (01:01:25) Career Advice in the Age of AI Executive Producer: Rashad Assir Mixing and editing: Justin Hrabovsky Check out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

- Endorsement of Pete Chambers for Texas Governor (0:10) - Chambers' Commitment to Decentralized Medicine and Humanitarian Efforts (1:41) - Importance of Prompt Engineering in AI (4:26) - AI's Role in Software Development and Prompt Engineering Techniques (5:53) - Prediction of a Major Robotics Hoax (19:27) - Comparison of Mainstream Deodorants and Health Ranger Store Deodorant (28:54) - Health Benefits of Purple Okra and Anthocyanins (40:02) - RFK Jr's Investigation into Psychiatric Medications and School Shootings (42:53) - Texas' Role in the Future of the United States (51:09) - Nutritional Tips for Enjoying Barbecue (55:42) - Energy Consumption and Water Usage by Data Centers (1:08:35) - Impact of Data Centers on Texas' Power Grid (1:19:53) - Economic and Environmental Concerns (1:20:58) - Water and Land Use Conflicts (1:23:37) - Governor's Role and Citizen-Led Governance (1:26:36) - Border Security and Governor Abbott's Performance (1:27:34) - Health and Human Services Expenditures (1:34:46) - Education and Food Security Initiatives (1:49:40) - Challenges of Political Corruption and Centralization (1:51:09) - Vision for Texas' Future (2:08:42) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com