Podcasts about Debugging

Host James Dyson explores imposter syndrome in the tech world with Roger Carulla, Senior Director of Engineering at Trimble; Yannick Meeus, Staff Software Engineer at ICEYE; Tuomas Kiviluoma, Senior Engineering Manager at Smartly; and Cristian Andrei, Senior Software Development Manager at Envista Holdings Corporation. This episode dives deep into the mental and emotional challenges engineers face, from self-doubt to confidence building. Listeners gain insight into leadership strategies and cultural shifts that foster self-belief, resilience, and psychological safety within high-performance tech environments.

Today we are talking about Automated Testing Kit demo Recipe, Why Automated Testing is important, and How this recipe helps with guest André Angelantoni. We'll also cover Taxonomy Views Integrator as our module of the week. For show notes visit: https://www.talkingDrupal.com/506 Topics What is Automated Testing Kit Features and benefits of Automated Testing Kit Cypress vs Playwright Where should these run Automated Testing Kit recipe Demo configuration Installing and setting up the Kit Using this on an existing site Managing tests and repositories Building and using recipes Debugging and troubleshooting tests Roadmap Resources Automated Testing Kit Demo Recipe Automated Testing Kit Documentation https://performantlabs.com/automated-testing-kit/automated-testing-kit https://performantlabs.com/testor/introduction Thread on nightwatch replacement Testor Automated Testing Kit Intro Video Automated Testing Kit Philosophy Recipes list Testery Testiny Code generators Drupal forge Guests André Angelantoni - drupal.org/project/automated_testing_kit aangel Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Norah Medlin - tekNorah MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to customize the taxonomy display view for a specific vocabulary, or even a specific taxonomy term? There's a module for that. Module name/project name: Taxonomy Views Integrator Brief history How old: created in Sep 2009 by Derek Webb (derekwebb1) though the most recent release was made by Kevin Quillen, who was a guest on the podcast in episodes 406 and 500 Versions available: 2.0.0 which works with Drupal 8, 9, 10, and 11 Maintainership Actively maintained Security coverage Test coverage Documentation Number of open issues: 13 open issues, 4 of which are bugs against the 2.0.x branch Usage stats: 24,130 sites Module features and usage After enabling this module, when you edit a vocabulary or a taxonomy term, users with the necessary permissions will see an option to specify a view to show tagged content, and you can also choose which display to use You can create a new view from scratch, or clone the taxonomy/term/* view provided by core, or a view defined in code. Obvious it's critical for the view to have a contextual filter for a taxonomy term Using this module could allow you to customize the presentation on a view page, for example to make the exposed filters more relevant, or even to split out the content, for example if you wanted to list only news in the main display, and have events and blog posts listed separately in attachments I found this module really helpful during some recent work on the Drupal Event Platform, so I thought I would share it with our listeners

In this episode we discuss how we debug the demon, the demons in the system. Veo was also released and this is going to shake up the world system even better. Let's make the world best for all life join www.self-perfected.com 

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereThomas Johnson - Co-Founder & CTO at MultiplayerJulian Wood - Serverless Developer Advocate at AWSRESOURCESTomhttps://x.com/tomjohnson3https://www.linkedin.com/in/tomjohnson3https://github.com/tomjohnson3Julianhttps://bsky.app/profile/julianwood.comhttps://twitter.com/julian_woodhttp://www.wooditwork.comhttps://www.linkedin.com/in/julianrwoodLinkshttps://www.multiplayer.appDESCRIPTIONJulian Wood and Tom Johnson explore the complexities of modern software development, with Tom sharing his journey from machine learning and distributed systems to founding Multiplayer, a company focused on simplifying development by automating documentation, debugging, and system design.They discuss the challenges of building and managing complex software architectures, especially with microservices and cloud platforms, and the need for better tooling to address these issues. Tom emphasizes the importance of simplicity, collaboration, and transparency in development, especially when it comes to API design and managing system dependencies. They also explore best practices for team communication, the evolving role of platform engineering, and the shift toward a future where infrastructure is abstracted away, allowing developers to focus on software creation.Together, they envision a world where better tools and AI lower the barrier to entry for developers, driving innovation and enabling more people to bring their ideas to life.RECOMMENDED BOOKSSimon Brown • Software Architecture for Developers Vol. 2David Farley • Modern Software EngineeringKim, Humble, Debois, Willis & Forsgren • The DevOps HandbookSimon Wardley • Wardley MapsSimon Wardley • Wardley Mapping, The KnowledgeDavid Anderson, Marck McCann & Michael O'Reilly • The Value Flywheel EffectMike Amundsen • Restful Web API Patterns & Practices CookbookBlueskyTwitterInstagramLinkedInFacebookCHANNEL 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!

This week on SUPERWOMEN, I'm joined by Cristina Mancini, CEO of Black Girls Code, the nonprofit on a mission to change the face of tech. Before joining Black Girls Code, Cristina built a career in film and television, where her curiosity about how to reach audiences between releases led her into the world of technology. What began as a quest to better engage fans soon evolved into a passion for using tech to drive impact and inclusion. Cristina is leading a powerful expansion of the organization's focus: beyond teaching girls to code, she's focused on launching them into the rooms where decisions are made. With her, Black Girls Code has grown to include not just education, but inspiration and real-world opportunity, ensuring that girls and women of color not only learn the skills, but build the confidence and community to thrive in tech. Mancini's vision is clear: access isn't enough, especially in a society in which “people are developing technologies that are not built with inclusion in mind.” Under her leadership, Black Girls Code has evolved beyond education, expanding into college campuses and adult programs that inspire, equip, and launch talent into real-world careers. Whether it's helping a girl build her first app or ensuring she lands a paid internship, Cristina is building a future where representation is the rule, not the exception.In a world where AI and emerging technologies are shaping everything from healthcare to hiring, Cristina is clear: inclusion isn't optional, it's crucial. From building out summer camps and national programming to creating pathways for paid internships and leadership, she's working to ensure no girl is left behind just because the tech world wasn't built with her in mind. Thank you for listening! Don't forget to order my book, “Fearless: The New Rules for Unlocking Creativity, Courage, and Success.”Follow SUPERWOMEN (@rmsuperwomen) and Cristina (@crisbmancini) on Instagram.Support this podcast: https://bit.ly/rmsuperwomen 

Guest Suggestion Form: https://forms.gle/bnaeY3FpoFU9ZjA47Disclaimer: This video is intended solely for educational purposes and opinions shared by the guest are his personal views. We do not intent to defame or harm any person/ brand/ product/ country/ profession mentioned in the video. Our goal is to provide information to help audience make informed choices. The media used in this video are solely for informational purposes and belongs to their respective owners.Order 'Build, Don't Talk' (in English) here: https://amzn.eu/d/eCfijRuOrder 'Build Don't Talk' (in Hindi) here: https://amzn.eu/d/4wZISO0Follow Our Whatsapp Channel: https://www.whatsapp.com/channel/0029VaokF5x0bIdi3Qn9ef2J

In this episode of the Semiconductor Insiders video series, Dan is joined by Dr Greg Law, CEO of Undo, He is a C++ debugging expert, well-known conference speaker, and the founder of Undo. Greg explains the history of Undo, initially as a provider of software development and debugging tools for software vendors. He explains that… Read More

Full playlist of BLISS videos: https://www.youtube.com/watch?v=l8_oZaR9A1Q&list=PLo1CFIKcwE6K6_kZyO7I_UOu0ATOT7U7YBLISS website: https://www.bliss.cash/Bitcoin Cash Podcast: https://bitcoincashpodcast.com/

In this episode of the Semiconductor Insiders video series, Dan is joined by Zackary Glazewski, an ML Engineer at Alpha Design AI. Dan explores the challenges of waveform debugging with Zack, who explains how the process is done today and the shortcoming of existing approaches. He explains why current approaches are time consuming… Read More

Join me as I chat with Ben Tossell to discuss how non-technical users can leverage OpenAI's Codex to build and modify websites without writing code. The video showcases a practical example of adding a new tab to a personal website through simple text commands, with Codex handling all the coding work. Ben explains GitHub basics, pull requests, and how to manage code changes while emphasizing that this approach makes coding more accessible to beginners. Timestamps: 00:00 - Intro 01:28 - What is Codex 02:38 - Explanation of GitHub and repositories 05:54 - Demonstration of adding a new tab to a website 10:53 - Why use Codex if you are non-technical 15:26 - Explanation of merging and closing pull requests 18:18 - Best practices for non-technical people using Codex 21:54 - Tips for Debugging using ChatGPT 23:47 - More advanced use cases beyond personal websites 25:30 - Cloning a Repo and using Codex 30:08 - Conclusion and Final Thoughts on Codex Key Points: • Codex is an OpenAI terminal product that allows users to type in tasks, generate code, and push it to GitHub without writing code themselves • The workflow involves creating tasks, reviewing generated code, creating pull requests, and merging changes • For non-technical people, Codex offers a more accessible entry point to coding than traditional development • Best practice is to start with simple personal website projects before attempting more complex applications: LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ BoringMarketing — Vibe Marketing for Sale: http://boringmarketing.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND BEN ON SOCIAL X/Twitter: https://x.com/bentossell Ben's Bites: https://www.bensbites.com

"My mind is analytical – so I wondered ‘what is the most exciting, impactful thing I could do?' I felt we're all growing older, so where is the technology of aging? How well do we understand the biochemistry of us as humans?" In this episode, Michael Antonov, Co-Founder of Oculus and Founder & CEO of Deep Origin, shares his bold leap from pioneering virtual reality to tackling the complexities of human aging and biotech innovation. Driven by a lifelong curiosity about biology and the mysteries of longevity, Michael reveals how his software background inspired him to "debug" biology, build better research tools, and launch Formic Ventures to back high-risk, high-reward startups. He discusses his vision for integrating computational and biological approaches, the promise of cellular reprogramming, and his mission to create a new ecosystem that empowers researchers and accelerates breakthroughs in extending human healthspan.

In this episode of Search Off the Record, Gary Illyes and Martin Splitt from the Google Search team dive deep into the foundations of how the web works—specifically HTTP, TCP, UDP, and newer technologies like QUIC and HTTP/3. The two reflect on how even experienced web professionals often overlook or forget the mechanics behind these core protocols, sharing insights through technical discussion, playful banter, and analogies ranging from messenger pigeons to teapots. The conversation spans key concepts like packet transmission, connection handshakes, and the importance of status codes such as 404, 204, and even 418 (“I'm a teapot”). Throughout the conversation, they connect these protocols back to real-world implications for site owners, developers, and SEOs—like why Search Console might report network errors, and how browser or server behavior is influenced by low-level transport decisions. With a mix of humor and expertise, Gary and Martin aim to demystify a crucial part of the internet's infrastructure and remind listeners of the layered complexity that makes modern web experiences possible. Resources: Episode transcript →https://goo.gle/sotr091-transcript    Listen to more Search Off the Record → https://goo.gle/sotr-yt Subscribe to Google Search Channel → https://goo.gle/SearchCentral Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team. #SOTRpodcast #SEO #Http Speakers: Lizzi Sassman, John Mueller, Martin Splitt, Gary Illyes Products Mentioned: Search Console - General  

В этом выпуске: TPU и расширение сознания печатников. Больные ублюдки крутят тестовые пластинки. Стектрейс дифференциация тестов вместо цветовой. [00:01:55] Чему мы научились за неделю https://makerworld.com/models/1031969 https://makerworld.com/models/729562 [00:17:54] Валерин патефон часть 2 Hana SH MK II — HANA PHONO CARTRIDGES Ortofon Test Record [00:54:07] Differential Coverage for Debugging [01:11:02] #темы499 Лог чата в Telegram. Голоса выпуска: Алекс, Ваня, Валера,… Читать далее →

Python 3.14 Beta 1 is coming! And that means we reach feature freeze. BUT QUICK, there's still time to squeeze in one last thing!## Timestamps(00:00:00) INTRO(00:01:58) PART 1: Template strings(00:07:10) PART 2: Asyncio Introspection(00:29:07) PART 3: Syntax highlighting(00:43:00) PART 4: Color themes(00:50:56) PART 5: Debugging a remote process with pdb(01:01:35) PART 6: Python Installation Manager for Windows(01:05:29) PART 7: Worship(01:08:53) PART 8: What else is happening?(01:16:03) OUTRO

AI didn't just rewrite the rules—it burned the old playbook.The idea of long-term "job security"? Gone.But here's the twist:This isn't a threat. It's a wake-up call.Because the people who adapt aren't just surviving—they're winning.The rest? Still playing by rules that no longer exist.Let's talk about what to do next.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI's Impact on Job SecurityFuture of Full-Time EmploymentClarity AI CEO's Personal ExperiencesCoping with AI Layoff AnxietyShopify's AI Workforce StrategyUpskilling to Future-Proof CareersPersonal Branding & Networking ImportanceEmergency Plans for AI LayoffsTimestamps:00:00 "Job Security's End in AI Era"03:59 Navigating AI Layoff Anxiety08:00 Future-Proofing Company Leadership11:34 "Why Companies Struggle with Training"14:35 "AI Predictions Impacting Job Security"20:17 "Financial Preparedness & Career Resilience"22:30 "Future-Ready Skills for Developers"24:53 Work Trends and Future Job SecurityKeywords:Job security in the age of AI, Future of work, Upskill, Reskill, Full-time employment, AI tools, Clarity AI, AI layoffs, Layoff anxiety, Personal branding, Networking, Gig economy, Upwork, Video editing, Debugging generated code, AI systems, Senior positions, Entry-level jobs, Skill set changes, Emergency plan, Financial stability, AI prototyping, Data solutions, Freelance, Income diversification, Automation, Digital twins, Roadmap to careers, AI influencer, Modern careers, AI-driven marketplaces, Team restructuring.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor's creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow.Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years.⏳Timestamps:00:00 How Cursor got started and why it took off04:50 Switching from Vim to VS Code and the rise of CoPilot08:10 Why Cursor won among competitors: product philosophy and execution10:30 How user data and feedback loops drive Cursor's improvements12:20 Iterating on AI agents: what made Cursor hold back and wait13:30 Competitive coding background: advantage or challenge?16:30 Making coding fun again: latency, flow, and model choices19:10 Building Cursor's infrastructure: from GPUs to indexing billions of files26:00 How Cursor prioritizes compute allocation for indexing30:00 Running massive ML infrastructure: surprises and scaling lessons34:50 Why Cursor chose DeepSeek models early36:00 Where AI agents are heading next40:07 Debugging and evaluating complex AI agents42:00 How coding workflows will change over the next 2–3 years46:20 Dream future projects: AI for reading codebases and papers

Join Scott for his last deep dive before more paternity leave. He'll be debugging CircuitPython code. Not sure what. He'll also answer any questions people ask and provide an update on the garbage collection improvements. Visit the Adafruit shop online - http://www.adafruit.com 0:00 Getting started 1:14 Hello everyone - welcome to Deep Dive w/Scott 1:37 Circuit Python - runs on Adafruit Metro RP2350 and many other microprocessors 2:43 Scott's last Deep Dive for the year - then Dad mode and part time 4:00 question about databases on CP - BTree and SQLite 6:43 New 16 inch Framework Laptop ( upgraded from 13 inch ) 9:00 Garbage Collection last week 10:30 Met with MicroPython developers on Tuesday 11:35 Adjusting GC stack speed things up 13:24 working on USB PR commit #10821 16:57 CI scheduler overview 19:07 Shrinking USB static buffers to get the CI to run again 23:10 Merge the "fix" into gc_selective_collect 25:05 test mimxrt10xx port 28:59 looking at linker scripts for sizes 38:00 checking the esp-idf template memory.ld.in 42:00 found "Internal SRAM0 and SRAM1" in datasheet 45:49 back to PR 10293 51:00 investigate second stage boot loader 54:30 linker scripts "digression" 1:09:00 switch to the Fruit Jam 1:13:30 Fruit Jam booted 1:17:39 debug the startup crash 1:25:30 audio playback buffers 1:33:00 examine rp2350 Datasheet DMA and continue to debug DMA 1:50:22 maybe console uart running background task triggers issue 1:52:43 audio_dma_stop called twice? 1:58:27 any final questions? adfru.it/discord 2:04:00 wrap up - thanks to Tim for future deep dives ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

Live von der DjangoCon Europe 2025 in Dublin - Tag 2 (click here to comment) 24. April 2025, Jochen Wir melden uns erneut von der DjangoCon Europe und sprechen über die Highlights des zweiten Konferenztages – mit jeder Menge technischer Einblicke, spannenden Talks und persönlichen Eindrücken.Diesmal mit dabei: Ronny als Gast in unserer Runde!

We should improve libzfs somewhat, Accurate Effective Storage Performance Benchmark, Debugging aids for pf firewall rules on FreeBSD, OpenBSD and Thunderbolt issue on ThinkPad T480s, Signing Git Commits with an SSH key, Pgrep, LibreOffice downloads on the rise, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines We should improve libzfs somewhat (https://despairlabs.com/blog/posts/2025-03-12-we-should-improve-libzfs-somewhat/) Accurate Effective Storage Performance Benchmark (https://klarasystems.com/articles/accurate-effective-storage-performance-benchmark/?utm_source=BSD%20Now&utm_medium=Podcast) News Roundup Debugging aids for pf firewall rules on FreeBSD (https://dan.langille.org/2025/02/24/debugging-aids-for-pf-firewall-rules-on-freebsd/) OpenBSD and Thunderbolt issue on ThinkPad T480s (https://www.tumfatig.net/2025/openbsd-and-thunderbolt-issue-on-thinkpad-t480s/) Signing Git Commits with an SSH key (https://jpmens.net/2025/02/26/signing-git-commits-with-an-ssh-key/) Pgrep (https://www.c0t0d0s0.org/blog/pgrep-z-r.html) LibreOffice downloads on the rise as users look to avoid subscription costs (https://www.computerworld.com/article/3840480/libreoffice-downloads-on-the-rise-as-users-look-to-avoid-subscription-costs.html) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Felix - Bhyve and NVME (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/607/feedback/Felix%20-%20bhyve%20and%20nvme.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

The AI landscape saw significant activity, with OpenAI preparing new, smaller, and reasoning-focused models alongside facing capacity challenges.

Eric Simons discusses the meteoric rise of Bolt.new, an AI-powered web app builder that went from zero to $40 million ARR in just five months. He shares insights on how they built an AI agent capable of creating full-stack web applications from simple prompts, the challenges of rapid growth, and the future of AI in software development. From nearly shutting down the company to becoming one of the fastest-growing AI products in history, Eric offers valuable lessons for anyone building in the AI space.Chapters:00:00 - Introduction and Bolt.new overview06:05 - The journey from near-shutdown to rapid growth13:28 - Challenges of explosive growth and scaling18:50 - Technical deep dive: Building Bolt.new26:37 - Debugging and improving AI-generated code32:09 - Future directions and enterprise adoption34:11 - Advice for building AI applications37:03 - The concept of "vibe revenue" in AI startups39:39 - Is AI over or under-hyped?------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com

Luca Casanato, member of the Deno core team, delves into the intricacies of debugging applications using Deno and OpenTelemetry. Discover how Deno's native integration with OpenTelemetry enhances application performance monitoring, simplifies instrumentation compared to Node.js, and unlocks new insights for developers! Links https://lcas.dev https://x.com/lcasdev https://github.com/lucacasonato https://mastodon.social/@lcasdev https://www.linkedin.com/in/luca-casonato-15946b156 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Luca Casonato.

書籍「Debugging - 問題解決のための9のルール」を題材に問題の分析と修正のためのフレームワークというトピックにについて話しました。Understand the System - システムを理解しろMake It Fail - 再現させろQuit Thinking and Look - 考えるのをやめて良く観察しろDivide and Conquer - 分割して統治しろ（切り分けろ）Change One Thing at a Time - 変更はひとつづつKeep an Audit Trail - 記録を残せCheck the Plug - コンセントを確認しろGet a Fresh View - 新しい視点を取り入れろIf You Didn't Fix It, It Ain't Fixed - 再発を防止しろ感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:Tomoaki Imai, Noxx CTO https://twitter.com/tomoaki_imaiRyoichi Kato, Software Engineer ⁠https://twitter.com/ryo1kato

In this episode, Andrew and Chris discuss Chris's new hardware upgrade to a Mac Studio, diving into its benefits for video processing and development work. They share stories about troubleshooting a perplexing bug related to WebSockets and Cable Ready, and discuss the conference proposal process, offering insights into writing effective CFPs based on their experiences with RailsConf and Rails World. Additionally, Andrew shares a game update about Cyberpunk and Chris shares the inspiring success story of the game ‘Balatro,' highlighting the developer's journey from side project to commercial triumph. Hit the download button now!HoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleMake your deployments bulletproof with autoscaling that just works.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Chris Oliver X/Twitter Andrew Mason X/Twitter Jason Charnes X/Twitter

In this episode of the Karma Stories Podcast, host Rob narrates a story from the Malicious Compliance subreddit about a manufacturing engineer who was ordered to disable critical testing on a new product due to unfounded blame from the design team. Despite warnings, the order led to increased failure rates and months of troubleshooting before the real issue was identified. This tale highlights the repercussions of ignoring expert advice and the valuable lessons learned by all involved.Submit your own stories to KarmaStoriesPod@gmail.com.Karma Stories is available on all major Podcasting Platforms and on YouTube under the @KarmaStoriesPodcast handle. We cover stories from popular Reddit Subreddits like Entitled Parents, Tales From Tech Support, Pro Revenge and Malicious Compliance. You can find new uploads here every single day of the week!Rob's 3D Printing Site: https://Dangly3D.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/karma-stories--5098578/support.

404 Connection Not Found? Today Laura and Kevin sit down with Kavita Ajwani, one of the world's top dating psychology coaches for men and the founder of Dashing Date to discuss who Men in tech can win at dating. With over 13 years of experience, Kavita has helped thousands of men in tech navigate modern dating with confidence and authenticity.Kavita shares her journey from running a tech startup to building North America's largest speed dating company. She opens up about the unique challenges men in tech face when it comes to dating, why confidence is often the missing link, and how digital distractions are reshaping modern relationships. We breakdown the growing crisis of loneliness and emotional isolation, the rise of online dating scams, and the increasing role of AI and deepfake technology in the dating world. Plus, Kavita offers a special gift for our single male listeners—free access to her Coding for Connections masterclass.Whether you're a tech professional struggling to make real connections or simply curious about how technology intersects with modern romance, this episode is packed with insights, humor, and expert advice. Tune in now to learn how to debug your dating life and build meaningful relationships!

In this episode, Simon and Beto discuss the latest findings from the State of React Native survey, highlighting trends in developer backgrounds, platform usage, income levels, and the evolving landscape of libraries and tools in the React Native ecosystem. They delve into the increasing popularity of local storage solutions, deep linking, and the rise of Zustand in state management, while also addressing the challenges and opportunities for solo developers in the mobile app space. In this conversation, Beto and Simon discuss the current state and future of React Native, focusing on various aspects such as Expo Router usage, styling trends, graphics and animations, component libraries, debugging tools, architecture adoption, build processes, AI in code generation, and community sentiment. They highlight the improvements in developer experience and the shift towards a more native approach in React Native development.Learn React Native - https://galaxies.devAlberto MoedanoBeto X: https://twitter.com/betomoedanoBeto YouTube: https://www.youtube.com/@codewithbetoCode with Beto Courses: https://codewithbeto.dev/LinksState of React Native Survey: https://results.stateofreactnative.com/en-US/TakeawaysThe State of React Native survey had over 3,000 participants, indicating growing interest.A significant number of React Native developers come from backend backgrounds.Solo developers can effectively use Expo and React Native to build apps.The trend towards local-first applications is gaining traction in the developer community.Deep linking is becoming increasingly important for app navigation.Zustand is rising in popularity as a state management solution.Inline styling remains a popular choice among developers.Expo is working on a new UI component library to enhance native app development.The future of data syncing and local storage solutions looks promising with new technologies. ExpoRouter is seeing increased usage and feedback is being actively incorporated.Styling in React Native is evolving, with inline styles gaining popularity due to AI tools.Graphics and animations are best handled with libraries like Reanimated and Skia.Component libraries are declining, indicating a shift towards more flexible styling solutions.Debugging tools are improving, with new options like Radon IDE and Atlas for Expo.The adoption of the new React Native architecture is growing, with many developers migrating successfully.EAS build is the preferred method for building applications, offering automation and a free tier.AI is becoming a significant part of the coding process, with many developers relying on it for code generation.Cross-platform frameworks are consolidating, with React Native and Flutter leading the way.The community sentiment around React Native is positive, with excitement for future developments.

MAKE HISTORY WITH US THIS SUMMER:https://demystifysci.com/demysticon-2025PATREON https://www.patreon.com/c/demystifysciPARADIGM DRIFThttps://demystifysci.com/paradigm-drift-showPATREON: get episodes early + join our weekly Patron Chat https://bit.ly/3lcAasBMERCH: Rock some DemystifySci gear : https://demystifysci.myspreadshop.com/allAMAZON: Do your shopping through this link: https://amzn.to/3YyoT98SUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysciJim Keller is on of the all-time great computer architects who has shaped the tech revolution during his tenure at Digital Equipment Corporation, AMD, Tesla, Intel, AMD and Apple. In addition to being a crack engineer, Keller is also deeply curious about the inner workings of nature on all scales, and is the patron for our upcoming Beyond the Big Bang meeting in Portugal. Keller is a big proponent of what philosopher Paul Feyerabend called “scientific anarchy,” where progress requires us to abandon a prescriptive approach to what counts as “science,” because many contradictory theories can be “true” at once. We build on our previous conversation about the nature of institutions to unpack why the Big Bang is about to fall apart, what it takes to build a new theory, and how to create a lasting impact without striving explicitly for immortality. (00:00) Go! (00:04:07) Skepticism in Scientific Models and the Role of Physical Intuition(00:11:26) The Evolution of Physics and Cognitive Sciences(00:18:07) Challenges in Conventional Cosmic and Solar Models(00:22:10 )Evolution of Computer Architecture(00:24:02) The Utilitarian Approach of Engineers(00:28:12) Debugging in Engineering(00:30:32) Reevaluating Scientific Paradigms(00:34:00) Collaborative Dynamics in Science and Engineering(00:37:13) The Influence of Paradigms on Scientific Discourse(00:44:42) Musician's Journey and Archetypes(00:45:37) Belief Systems and Shared Realities(00:49:59) The Bible and Mythology(01:00:17) Sci-Fi, Technology, and Societal Impact(01:02:31) Religious Beliefs and Cultural Diversity(01:07:53) Cultural Beliefs and Alignment(01:10:50) Alignment vs. Experimentation(01:13:23) Decentralization and Experimentation(01:15:00) Individual Experience in Religion(01:18:10) Mythology and Technology(01:21:14) Scarcity and Human Behavior(01:23:04) Complexity in Human Systems(01:33:47) Human Collaboration and Motivation(01:36:16) Public Speaking and Leadership Dynamics(01:39:51) Stability and Change in Systems(01:43:52) Paradigm Drifts (01:49:02) Geopolitical Structures and Exploration(01:53:37) Political Power Dynamics(01:57:05) Critique of Power Structures(02:08:45) Paradigm Shifts(02:14:44) Mission-Driven Success(02:18:04) Authenticity in Art#TechVisionary, #AIInnovation, #TechnologyLeader, #TechVisionary, #TechGuru, #astrophysics, #engineeringlife, #cosmos, #innovations, #technews, #codinglife , #programminglife , #techindustry , #engineeringlife, #philosophypodcast, #sciencepodcast, #longformpodcastCheck our short-films channel, @DemystifySci: https://www.youtube.com/c/DemystifyingScience AND our material science investigations of atomics, @MaterialAtomics https://www.youtube.com/@MaterialAtomicsJoin our mailing list https://bit.ly/3v3kz2S PODCAST INFO: Anastasia completed her PhD studying bioelectricity at Columbia University. When not talking to brilliant people or making movies, she spends her time painting, reading, and guiding backcountry excursions. Shilo also did his PhD at Columbia studying the elastic properties of molecular water. When he's not in the film studio, he's exploring sound in music. They are both freelance professors at various universities. SOCIAL: - Discord: https://discord.gg/MJzKT8CQub- Facebook: https://www.facebook.com/groups/DemystifySci- Instagram: https://www.instagram.com/DemystifySci/- Twitter: https://twitter.com/DemystifySciMUSIC: -Shilo Delay: https://g.co/kgs/oty671

In this episode, I tests Polymet AI, an AI product designer tool, by creating a YouTube analytics prediction SaaS concept inspired by a viral tweet about predicting tweet performance. I compares Polymet AI with V0, noting that while Polymet required multiple prompts and offered less feedback during the design process, both tools ultimately produced usable designs. I concludes that different AI tools have different strengths, and using multiple tools in combination might yield the best results.Timestamps: 00:00 - Intro02:33 - First Impressions of Polymet03:57 - Startup Idea: Predicting YouTube Engagement05:03 - Initial Design Prompt10:11 - Polymet's First Design Output: TubePredict11:04 - UI and Functionality Issues and Debugging16:08 - Polymet's Second Design Output17:44 - Debugging pt 220:48 - Prompting v0 22:30 - v0's Design Output 23:41 - Polymet's Third Design Output24:49 - Comparing v0 and Polymer and Final Thoughts on Design Outputs27:36 - Conclusion and Recommendations for AI Design ToolsKey Points• I tests Polymet AI a new AI product designer tool that claims to help non-designers create production-ready designs• I compares Polymet AI with v0, a similar tool he's used before, by designing a YouTube analytics prediction tool• Both tools produced functional designs, but with different user experiences and output quality1) First impressions of Polymet AI:• Clean interface similar to ChatGPT• Includes voice input (huge plus!)• Image upload capability for reference designs• Credit-based system (250 free credits to start)• 50 credits per page generation2) The design process with Polymet was... interesting.PROS:• Named the product "TubePredict" automatically• Created decent landing page copy• Saved version historyCONS:• Slow generation (2+ minutes)• No progress indicator (frustrating!)• Initial designs missed the mark completely 3) After 3 attempts with increasingly specific prompts, Polymet finally delivered:• Clean, modern interface• Detailed A/B testing dashboard• Statistical confidence indicators• AI suggestions for optimizationBut the communication was ONE-WAY. No feedback loop!4) Meanwhile, v0 showed its strengths:• Real-time reasoning as it designed• Conversational approach ("I'll create a SaaS that...")• Faster FEELING process (transparency helps!)• Ability to ask clarifying questionsThe difference in experience was NIGHT and DAY.5) The final designs were surprisingly similar in quality!Polymet's strengths:• More detailed product features• Hover states built in• Actual code generationv0's advantages:• Slightly more polished visually• More "glassy" as requested• Better feedback loop6) MAJOR INSIGHT: The future isn't about finding ONE perfect AI design tool.It's about using MULTIPLE tools strategically:• Generate initial concepts in one• Refine in another• Mix and match their strengthsJust like we do with ChatGPT, Claude, Gemini, etc.7) The REAL lesson? Knowing design terminology matters!When I specifically requested "glassmorphism" instead of just saying "glassy," both tools performed MUCH better.The more precise your design vocabulary, the better your AI design results.8) Would I recommend these tools? YES - but with expectations in check.Two years ago this would have been MIND-BLOWING.Today, our standards are higher.But for quick prototyping or inspiration, both tools deliver value in different ways.Notable Quotes:"Two years ago, if I would have seen this, I would have been like, 'Oh my God, everything has changed.' And now our bar for all these AI products is so high that the output needs to be incredible for you to really use it in your workflow.""How do you get the most out of them is just you use all of them, you realize what's best for each individual product... There's these nuances that make these products better."Want more free ideas? I collect the best ideas from the pod and give them to you for free in a database. Most of them cost $0 to start (my fav)Get access: https://www.gregisenberg.com/30startupideasLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Back almost 3 years after his first appearance on More Train, Less Pain, Lance Goyke rejoins Tim to talk simplifying velocity based-training, designing workouts for busy people, leaving the (full time) fitness industry, and *most importantly* best pop punk albums of the 2000s. Listen, subscribe, and tell your friends… Reframe Performance: https://www.reframeperformance.com/ Reframe Performance Free Guide- 6 Biggest Weight Training Mistakes Runners Make: https://www.reframeperformance.com/weight-training-runners-mistakes-guide Contact Michelle: https://www.michelleboland-training.com/ or @dr.michelleboland Contact Tim: https://www.timrichardt.com/ or @tim_richardt_dpt

A distributed system is a network of independent services that work together to achieve a common goal. Unlike a monolithic system, a distributed system has no central point of control, meaning it must handle challenges like data consistency, network latency, and system failures. Debugging distributed systems is conventionally considered challenging because modern architectures consist of The post Troubleshooting Microservices with Julia Blase appeared first on Software Engineering Daily.

A distributed system is a network of independent services that work together to achieve a common goal. Unlike a monolithic system, a distributed system has no central point of control, meaning it must handle challenges like data consistency, network latency, and system failures. Debugging distributed systems is conventionally considered challenging because modern architectures consist of The post Troubleshooting Microservices with Julia Blase appeared first on Software Engineering Daily.

News includes the release of LiveDebugger, an exciting new browser-based debugging tool for Phoenix LiveView applications and the announcement of Artifix for creating private Hex registries on S3 and CloudFront. We are also joined by Tim Knight, the CTO at Gigalixir, to get a peek inside the machine that is Gigalixir and learn more about how the platform specializes in providing an excellent Elixir deployment experience, and more! Show Notes online - http://podcast.thinkingelixir.com/241 (http://podcast.thinkingelixir.com/241) Elixir Community News https://github.com/software-mansion-labs/live-debugger (https://github.com/software-mansion-labs/live-debugger?utm_source=thinkingelixir&utm_medium=shownotes) – New Phoenix LiveView debugging tool released providing browser-based debugging capabilities similar to React DevTools. https://bsky.app/profile/bcardarella.bsky.social/post/3lhn3y7vw4k2v (https://bsky.app/profile/bcardarella.bsky.social/post/3lhn3y7vw4k2v?utm_source=thinkingelixir&utm_medium=shownotes) – Confirmation that LiveDebugger works with LiveView Native. https://github.com/probably-not/artifix (https://github.com/probably-not/artifix?utm_source=thinkingelixir&utm_medium=shownotes) – New project Artifix announced, allowing creation of private Hex Registry on S3 and Cloudfront with customizable deployment patterns. https://gleam.run/news/gleam-gets-rename-variable/ (https://gleam.run/news/gleam-gets-rename-variable/?utm_source=thinkingelixir&utm_medium=shownotes) – Gleam v1.8.0 released with significant Language Server enhancements and compiler improvements. https://github.com/Wilfred/difftastic (https://github.com/Wilfred/difftastic?utm_source=thinkingelixir&utm_medium=shownotes) – Difftastic, a structural diff tool, now supports HEEx syntax highlighting. https://bsky.app/profile/crbelaus.com/post/3lhtpkkn4vc2l (https://bsky.app/profile/crbelaus.com/post/3lhtpkkn4vc2l?utm_source=thinkingelixir&utm_medium=shownotes) – Additional announcement about Difftastic's HEEx support. https://github.com/Wilfred/difftastic/pull/785 (https://github.com/Wilfred/difftastic/pull/785?utm_source=thinkingelixir&utm_medium=shownotes) – Pull request adding HEEx support to Difftastic. https://x.com/chris_mccord/status/1887957394149310502 (https://x.com/chris_mccord/status/1887957394149310502?utm_source=thinkingelixir&utm_medium=shownotes) – Chris McCord shares a preview of integrated AI work at Fly.io, demonstrating web search capabilities. Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources https://www.gigalixir.com/thinking (https://www.gigalixir.com/thinking?utm_source=thinkingelixir&utm_medium=shownotes) – Thinking Elixir Podcast listeners get 20% off the standard tier for the first YEAR with the promo code "Thinking" https://www.gigalixir.com (https://www.gigalixir.com?utm_source=thinkingelixir&utm_medium=shownotes) https://www.gigalixir.com/docs/ (https://www.gigalixir.com/docs/?utm_source=thinkingelixir&utm_medium=shownotes) https://www.gigalixir.com/pricing/ (https://www.gigalixir.com/pricing/?utm_source=thinkingelixir&utm_medium=shownotes) https://journey.gigalixir.com/ (https://journey.gigalixir.com/?utm_source=thinkingelixir&utm_medium=shownotes) Guest Information https://twitter.com/gigalixir (https://twitter.com/gigalixir?utm_source=thinkingelixir&utm_medium=shownotes) – on Twitter https://github.com/gigalixir/ (https://github.com/gigalixir/?utm_source=thinkingelixir&utm_medium=shownotes) – on Github https://bsky.app/profile/gigalixir.com (https://bsky.app/profile/gigalixir.com?utm_source=thinkingelixir&utm_medium=shownotes) – on BlueSky https://elixir-lang.slack.com/archives/C5AJLMATG (https://elixir-lang.slack.com/archives/C5AJLMATG?utm_source=thinkingelixir&utm_medium=shownotes) – gigalixir on Elixir Slack https://gigalixir.com/ (https://gigalixir.com/?utm_source=thinkingelixir&utm_medium=shownotes) – Site Find us online Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) Message the show - X (https://x.com/ThinkingElixir) Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) Mark Ericksen on X - @brainlid (https://x.com/brainlid) Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

This week I welcome on the show two of the most important technologists ever, in any field.Jeff Dean is Google's Chief Scientist, and through 25 years at the company, has worked on basically the most transformative systems in modern computing: from MapReduce, BigTable, Tensorflow, AlphaChip, to Gemini.Noam Shazeer invented or co-invented all the main architectures and techniques that are used for modern LLMs: from the Transformer itself, to Mixture of Experts, to Mesh Tensorflow, to Gemini and many other things.We talk about their 25 years at Google, going from PageRank to MapReduce to the Transformer to MoEs to AlphaChip – and maybe soon to ASI.My favorite part was Jeff's vision for Pathways, Google's grand plan for a mutually-reinforcing loop of hardware and algorithmic design and for going past autoregression. That culminates in us imagining *all* of Google-the-company, going through one huge MoE model.And Noam just bites every bullet: 100x world GDP soon; let's get a million automated researchers running in the Google datacenter; living to see the year 3000.SponsorsScale partners with major AI labs like Meta, Google Deepmind, and OpenAI. Through Scale's Data Foundry, labs get access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you're an AI researcher or engineer, learn about how Scale's Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh.Curious how Jane Street teaches their new traders? They use Figgie, a rapid-fire card game that simulates the most exciting parts of markets and trading. It's become so popular that Jane Street hosts an inter-office Figgie championship every year. Download from the app store or play on your desktop at figgie.com.Meter wants to radically improve the digital world we take for granted. They're developing a foundation model that automates network management end-to-end. To do this, they just announced a long-term partnership with Microsoft for tens of thousands of GPUs, and they're recruiting a world class AI research team. To learn more, go to meter.com/dwarkesh.Advertisers:To sponsor a future episode, visit: dwarkeshpatel.com/p/advertise.Timestamps00:00:00 - Intro00:02:44 - Joining Google in 199900:05:36 - Future of Moore's Law00:10:21 - Future TPUs00:13:13 - Jeff's undergrad thesis: parallel backprop00:15:10 - LLMs in 200700:23:07 - “Holy s**t” moments00:29:46 - AI fulfills Google's original mission00:34:19 - Doing Search in-context00:38:32 - The internal coding model00:39:49 - What will 2027 models do?00:46:00 - A new architecture every day?00:49:21 - Automated chip design and intelligence explosion00:57:31 - Future of inference scaling01:03:56 - Already doing multi-datacenter runs01:22:33 - Debugging at scale01:26:05 - Fast takeoff and superalignment01:34:40 - A million evil Jeff Deans01:38:16 - Fun times at Google01:41:50 - World compute demand in 203001:48:21 - Getting back to modularity01:59:13 - Keeping a giga-MoE in-memory02:04:09 - All of Google in one model02:12:43 - What's missing from distillation02:18:03 - Open research, pros and cons02:24:54 - Going the distance Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

The Unbreakable Multi-Layer Anti-Debugging System Xavier found a nice Python script that included what it calls the "Unbreakable Multi-Layer Anti-Debugging System". Leave it up to Xavier to tear it appart for you. https://isc.sans.edu/diary/The%20Unbreakable%20Multi-Layer%20Anti-Debugging%20System/31658 Take my money: OCR crypto stealers in Google Play and App Store Malware using OCR on screen shots was available not just via Google Play, but also the Apple App Store. https://securelist.com/sparkcat-stealer-in-app-store-and-google-play-2/115385/ Threat Actors Still Leveraging Legit RMM Tool ScreenConnect Unsurprisingly, threat actors still like to use legit remote admin tools, like ScreenConnect, as a command and control channel. Silent Push outlines the latest trends and IoCs they found https://www.silentpush.com/blog/screenconnect/ Cisco Identity Services Engine Insecure Java Deserialization and Authorization Bypass Vulnerabilities Java deserializing strikes again to allow arbitrary code execution. Cisco fixed this vulnerability and a authorization bypass issue in its Identity Services Engine https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ise-multivuls-FTW9AOXF F5 Update F5 fixes an interesting authentication bypass problem affecting TLS client certificates https://my.f5.com/manage/s/article/K000149173

Sia Karamalegos, performance engineer, web developer, and Google Developer Expert in Web Technologies & Web Performance, discusses the pitfalls of relying solely on Lighthouse scores, the importance of Real User Monitoring (RUM), and dive deep into metrics like Core Web Vitals and various other performance indicators, giving practical insights to enhance user experience on your website! Links https://sia.codes http://front-end.social/@sia https://bsky.app/profile/sia.codes https://github.com/siakaramalegos https://www.linkedin.com/in/karamalegos https://stackoverflow.com/users/5049215/sia https://conf.11ty.dev/2024/you-re-probably-doing-web-performance-wrong https://themevitals.com We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Sia Karamalegos.

In this episode, ⁠Xan Hong⁠, a no-code development expert, guides ⁠Krish Palaniappan⁠ through the process of building a simple to-do application using Bubble. They explore the user interface, create workflows, and discuss the transition from web-based to native app development. The conversation emphasizes practical application, collaboration, and the importance of getting a functional product up and running before focusing on aesthetics. They explore the Bubble platform, discussing its no-code capabilities, data management, plugin integrations, and design systems. They reflect on the learning curve associated with Bubble, the potential for AI integration, and the future of no-code platforms in the context of evolving technology. The discussion highlights practical applications, user experiences, and the importance of adapting to new tools in software development. Takeaways • No-code development can significantly reduce costs for clients. • Understanding the user interface is crucial for effective app development. • Starting with a functional prototype is more important than aesthetics. • Bubble allows for both web and native app development. • Dynamic elements enhance user interaction in applications. • Workflows are essential for managing data and user actions. • Testing and debugging are critical steps in the development process. • Collaborative development can enhance the learning experience. • Data management is key to maintaining application functionality. • User feedback is vital for refining app features. • Bubble allows users to create applications without writing code. • Understanding the platform's structure is crucial for effective use. • Data management in Bubble includes both data and metadata. • Plugins enhance functionality but vary in quality. • Design systems can be created and reused within Bubble applications. • APIs can be integrated to extend application capabilities. • The learning curve for Bubble can be steep for new users. • AI integration presents new challenges for no-code platforms. • Building meaningful projects can enhance the learning experience. • No-code platforms are evolving with the introduction of AI technologies. Chapters 00:00 Introduction to No Code Development 02:55 Exploring Bubble's User Interface 05:52 Creating a To-Do Application 09:10 Understanding Native App Development with Bubble 11:58 Dynamic Elements and User Interaction 15:07 Workflow Creation and Data Management 17:52 Testing and Debugging the Application 20:47 Collaborative Development and Sharing 24:01 Data Management and Deletion Functionality 38:49 Navigating the Bubble Platform 40:46 Understanding Data Management and Metadata 42:49 Exploring Plugins and Third-Party Integrations 45:35 Design Systems and Reusability in Bubble 48:30 Connecting APIs and Backend Functionality 53:44 Recap of Building a To-Do App 55:11 Reflections on No-Code Development 01:01:43 The Learning Curve of Bubble 01:08:14 The Future of AI in No-Code Platforms

Specter and zi discuss their winter break, cover some interesting CCC talks, and discuss the summary judgement in the WhatsApp vs. NSO Group case. Links and vulnerability summaries for this episode are available at: https://dayzerosec.com/podcast/268.html [00:00:00] Introduction [00:09:53] 38C3: Illegal Instructions [00:35:38] WhatsApp v. NSO Group [01:04:06] Vulnerability Research Highlights 2024 [01:08:45] Debugging memory corruption: Who wrote ‘2' into my stack?! [01:16:46] HardBreak [01:20:14] Announcing CodeQL Community Packs Podcast episodes are available on the usual podcast platforms: -- Apple Podcasts: https://podcasts.apple.com/us/podcast/id1484046063 -- Spotify: https://open.spotify.com/show/4NKCxk8aPEuEFuHsEQ9Tdt -- Google Podcasts: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy9hMTIxYTI0L3BvZGNhc3QvcnNz -- Other audio platforms can be found at https://anchor.fm/dayzerosec You can also join our discord: https://discord.gg/daTxTK9

In this solo episode, Simon shares the new Galaxies.dev Zero to Hero Mission and why now is the best time to learn React Native. From New Architecture to Debugging, Expo, and companies in the ecosystem, this podcast will reinforce your drive to build and ship awesome React Native apps in 2025!Join React Native Zero to Hero - https://galaxies.dev/missions/zero-to-hero

Foundations of Amateur Radio As you might know, a little while ago I started a new project. "The Bald Yak project aims to create a modular, bidirectional and distributed signal processing and control system that leverages GNU Radio." In embarking on this adventure I've been absorbing information as I go whilst explaining what I've learnt to anyone who will sit still long enough. Credit to Glynn VK6PAW and Charles NK8O for their patience. For most people, me included, the introduction to GNU Radio happens via a graphical user interface where you build so-called flowgraphs. These are made up of little blocks that you wire together to get from a Source, where a signal originates, to a Sink, where it terminates. Each of these blocks does something to the signal, it might be a filter, an amplifier, it might encode or decode a signal like FM, AM, Wideband FM, or some other modulation like Phase Modulation or OFDM, Orthogonal Frequency Division Multiplexing, a way of transmitting digital information using multiple channels. It's used in places like WiFi, ADSL and DSL, Digital Television as well as modern cellular systems. Those blocks generally expect a specific type of input and generate some particular output. After you save your design you can run the flowgraph and behind the scenes some magic happens. Your visual representation of signal flow is translated into either Python or C++ and the resulting application is what is actually run, which is why the user interface that you design your flowgraph in is cunningly named, GNU Radio Companion. So, what if you want to do something that doesn't yet exist? As it happens, that's where I came across a YouTube video by John VE6EY called "GNURadio Embedded Python Block" which neatly describes a fundamental aspect of how the GNU Radio framework actually operates. One of the blocks available to you is one called "Python Block", which you can add to your flowgraph just like any other block. What sets it apart from the others is that you can open it up and write some Python code to process the signal. When you first insert such a block, it's already populated with some skeleton code, so it already does something from the get-go and that's helpful because if you break the code, you get to keep both parts. Seriously, it allows you to figure out what you broke, rather than having to worry immediately about how specifically the code is wired to the outside world, which let's face it, is not trivial. If you're a programmer, think of it as the "Hello World" of GNU Radio. If not much of that means anything, think of it as a variable electronic component. If you need it to be a capacitor, it can be that, or a transistor, a whole circuit, or just a filter, all in software, right there at your fingertips and no soldering required. Now I'm under no illusion that everybody is going to want to get down and dirty with Python at this point, and truth be told, I have a, let's call it "special" relationship with the language, but that is something I'm just going to have to get over if this project is going to go anywhere. For my sins this week I attempted to recreate the intent of John's video on my own keyboard and discovered that debugging code in this environment might be tricky. It turns out that you can actually print out Python variables within your code and in the GNU Radio environment they'll show up in the console inside the companion window, which is handy if you committed one of many Python sins, like say attempting to compare an integer against a list. Don't ask me how I know. One thing I'm planning to attempt is to get the same thing going for C++ output. By default GNU Radio Companion uses Python, but you can change it so instead of generating Python, it can generate C++. Whilst I have no immediate need for that, I do know that at some point it's likely that I will, like say when I want to run something on an embedded processor, or some other contraption. So, whilst I have nothing to lose, I want to try out the boundaries of my new toy, besides, I have form, in testing boundaries that is. I'm Onno VK6FLAB

In this conversation, Krish Palaniappan introduces Weaviate, an open-source vector database, and explores its functionalities compared to traditional databases. The discussion covers the setup and configuration of Weaviate, hands-on coding examples, and the importance of vectorization and embeddings in AI. The conversation also addresses debugging challenges faced during implementation and concludes with a recap of the key points discussed. Takeaways Weaviate is an open-source vector database designed for AI applications. Vector databases differ fundamentally from traditional databases in data retrieval methods. Understanding vector embeddings is crucial for leveraging vector databases effectively. Hands-on coding examples help illustrate the practical use of Weaviate. Python is often preferred for AI-related programming due to its extensive support. Debugging is an essential part of working with new technologies like Weaviate. Vectorization optimizes database operations for modern CPU architectures. Embedding models can encode various types of unstructured data. The conversation emphasizes co-learning and exploration of new technologies. Future discussions may delve deeper into the capabilities of vector databases. Chapters 00:00 Introduction to Weaviate and Vector Databases 06:58 Understanding Vector Databases vs Traditional Databases 12:05 Exploring Weaviate: Setup and Configuration 20:32 Hands-On with Weaviate: Coding and Implementation 34:50 Deep Dive into Vectorization and Embeddings 42:15 Debugging and Troubleshooting Weaviate Code 01:20:40 Recap and Future Directions Purchase course in one of 2 ways: 1. Go to https://getsnowpal.com, and purchase it on the Web 2. On your phone:     (i) If you are an iPhone user, go to http://ios.snowpal.com, and watch the course on the go.     (ii). If you are an Android user, go to http://android.snowpal.com.

Expo-vember's epic finale! React Native's debugging tools are getting a major upgrade! Host Jamon Holmgren talks with Cedric van Putten (Expo) and Alex Hunt (Meta) about the new React Native DevTools. They discuss why the teams joined forces to build a more reliable debugging experience, the power of Chrome DevTools Protocol, and what's coming next for React Native debugging. Plus, learn why debuggers beat console.log and how the new tools make debugging more accessible for developers on all platforms.Show NotesAlex's talk at React Universe Conf 2024 - The New React Native DebuggerCedric's talk at AppJS Conf 2023 - Debugging Should Be EasierAlex's talk at AppJS Conf 2023 - Metro and React Native DevX in 2023[0.76] React Native DevTools — Issues and Feedback #819Chrome DevTools Protocol (CDP)0.76 Release NotesReactotronRadon IDE (previously React Native IDE)RNR 309 - React Native IDE with Krzysztof Magiera Connect With Us!React Native Radio: @ReactNativeRdioJamon Holmgren: @jamonholmgrenAlex Hunt: Alex on LinkedInCedric van Putten: @cedric_devInfinite Red Slack Community: https://community.infinite.red 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.

One of the most challenging things about starting out as a developer is how much you need to master all at once. And with so much to learn, it can be difficult for experts to guide fresh developers and advise them on where to focus first. Luckily, some skills will always be useful, no matter what language you're coding in. In today's episode, Stephanie and Joël tackle this topic by unpacking several key evergreen skills that will always be valuable, from reading error messages to deciphering a stack trace. They break down how new-ish developers can start acquiring these skills, key obstacles they're likely to encounter, and how to ask for help when you hit a block. Their conversation covers the ins and outs of debugging, how to feel comfortable in your editor as a new developer, the art of asking for help, and much more. They also share plenty of valuable tips to help you on your journey – including one that will help you commit more frequently. Tune in now to hear it all! Key Points From This Episode: Stephanie's time at the Ruby Conference in Chicago. The challenges of advising new-ish developers as an expert. Broad evergreen skills that are always valuable to learn. Tips on mastering debugging as a core skill. How to improve your ability to read error messages. Our approach to resolving errors and isolating what is wrong. Advice for learning to read a stack trace (even though it's intimidating). Strategies for fixing different types of bugs. The value of editor mastery and version history. Tips on how to commit more frequently as a new developer. Learning to ask for help when you hit a block. The art of structuring your questions when asking for help. Breaking down large tasks into smaller sections. Learning to find focus as a new developer. Links Mentioned in Today's Episode: What technologies should I learn? (https://thoughtbot.com/blog/what-technologies-should-i-learn) Debugging blog post series (https://thoughtbot.com/blog/tags/debugging-series-2021) Asking about solutions rather than problems (https://xyproblem.info/) The Bike Shed (https://bikeshed.thoughtbot.com/) Joël Quenneville on LinkedIn (https://www.linkedin.com/in/joel-quenneville-96b18b58/) Joël Quenneville on X (https://x.com/joelquen) Support The Bike Shed (https://github.com/sponsors/thoughtbot) Mailtrap (https://l.rw.rw/the_bike_shed) WorkOS (workos.com/)

Coding with AI changes everything. It changes how we design, test, and improve our software projects. Today, I'm talking to generative AI expert James Phoenix.He's written the book on prompt engineering and shares his hard-earned AI insights freely on the show — including a crash course in developing effectively with the Cursor IDE.Are developers just AI wranglers now? Technical managers? Will we ever code again?You'll find out today.This episode is sponsored by Paddle.com — if you're looking for a payment platform that works for you so you can focus on what matters, check them out.The blog post: https://thebootstrappedfounder.com/james-phoenix-mastering-code-ai-for-the-modern-developer/The podcast episode: https://tbf.fm/episodes/356-james-phoenix-mastering-code-ai-for-the-modern-developerCheck out Podscan to get alerts when you're mentioned on podcasts: 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

What role do subconscious patterns play in shaping our lives?We all have goals, routines, and habits. But have you ever wondered why certain goals seem harder to reach, or why some habits feel impossible to change? What if the answer lies beneath the surface?In this conversation with Marci Owen, a trauma-informed coach specializing in subconscious patterns and nervous system resilience, we dig into how subconscious beliefs shape our actions and reactions. Imagine if every recurring frustration, hesitation, or fear had roots deep within your own past experiences and belief systems. Marci explains how these “hidden scripts” impact us and offers steps to uncover, understand, and ultimately transform them.Join us as we explore the power of self-awareness, compassionate self-reflection, and reverse-engineering behavior patterns. This episode is an invitation to break free from the limitations of unexamined beliefs and create a life where every choice aligns with who you truly want to be.Tap into the freedom that self-understanding can bring—because when you make sense of your patterns, you unlock the potential for true growth.Topics covered in this episode include:The role of subconscious patterns in shaping our behaviorsHow belief systems formed in childhood can influence adult decision-makingStrategies to identify and break free from self-limiting subconscious narrativesThe importance of compassion in the healing processCurious about the stories running in the background that might be holding you back? Discover how bringing awareness and self-compassion into the mix can spark real transformation. Tune in to start your journey toward lasting change!Spoiler:  Doors will open for the next round of the Self Love Lab on Black Friday! Resources Mentioned:How to Identify Subconcious Stories and Pattern that Hold You Back:  https://marciowen.com/identify-subconscious-patterns/Marci Owen's Self Love Lab: https://marciowen.com/selflovelab/Marci Owen's Website: https://marciowen.com/Get The Book:  https://book.neillwilliams.com/bookLearn More About TEAM90:  https://neillwilliams.com/team90Book A Team Turnaround Call:  https://neillwilliams.com/team-turnaround-callContact Us: support@neillwilliams.comIf you're loving what you're learning on this podcast every week - the simple high-impact habits, tools and mindsets to optimize your whole body focus, motivation and energy - please follow, rate and review by heading to Apple Podcasts or wherever you listen to podcasts.

Aman Sanger, Arvid Lunnemark, Michael Truell, and Sualeh Asif are creators of Cursor, a popular code editor that specializes in AI-assisted programming. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep447-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/cursor-team-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Cursor Website: https://cursor.com Cursor on X: https://x.com/cursor_ai Anysphere Website: https://anysphere.inc/ Aman's X: https://x.com/amanrsanger Aman's Website: https://amansanger.com/ Arvid's X: https://x.com/ArVID220u Arvid's Website: https://arvid.xyz/ Michael's Website: https://mntruell.com/ Michael's LinkedIn: https://bit.ly/3zIDkPN Sualeh's X: https://x.com/sualehasif996 Sualeh's Website: https://sualehasif.me/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Encord: AI tooling for annotation & data management. Go to https://encord.com/lex MasterClass: Online classes from world-class experts. Go to https://masterclass.com/lexpod Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (09:25) - Code editor basics (11:35) - GitHub Copilot (18:53) - Cursor (25:20) - Cursor Tab (31:35) - Code diff (39:46) - ML details (45:20) - GPT vs Claude (51:54) - Prompt engineering (59:20) - AI agents (1:13:18) - Running code in background (1:17:57) - Debugging (1:23:25) - Dangerous code (1:34:35) - Branching file systems (1:37:47) - Scaling challenges (1:51:58) - Context (1:57:05) - OpenAI o1 (2:08:27) - Synthetic data (2:12:14) - RLHF vs RLAIF (2:14:01) - Fields Medal for AI (2:16:43) - Scaling laws (2:25:32) - The future of programming PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

Scott walks Wes through the new Syntax Production Assistant Desktop App, designed to streamline and automate their complex publishing process. From tech stack choices like Svelte5 and Rust to AI-driven features, they dive into how this tool keeps everything consistent. Show Notes 00:00 Welcome to Syntax! 00:44 Brought to you by Sentry.io. 01:37 What was the idea? 05:42 The tech. Svelte5, Tauri, Rust, FFMPEG. 08:32 Markdown editor. ink-mde, Dillinger. 09:32 Epoch timestamps. Epoch.vercel. 10:01 Updating front-matter. 10:10 Dexie.js function. 11:25 Backing up data. 11:58 Rust functions. 12:58 Why a desktop app and not a website? 14:38 Some small AI features. 16:26 Challenges with OAuth. 20:03 Publishing challenges. 23:29 Could this work on Windows? 23:54 Debugging. 26:23 Deciphering Apple logs. 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