Podcasts about IDE

Topics covered in this episode: django-bolt: Faster than FastAPI, but with Django ORM, Django Admin, and Django packages pyleak More Django (three articles) Datastar Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: django-bolt : Faster than FastAPI, but with Django ORM, Django Admin, and Django packages Farhan Ali Raza High-Performance Fully Typed API Framework for Django Inspired by DRF, FastAPI, Litestar, and Robyn Django-Bolt docs Interview with Farhan on Django Chat Podcast And a walkthrough video Michael #2: pyleak Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak. Has patterns for Context managers decorators Checks for Unawaited asyncio tasks Threads Blocking of an asyncio loop Includes a pytest plugin so you can do @pytest.mark.no_leaks Brian #3: More Django (three articles) Migrating From Celery to Django Tasks Paul Taylor Nice intro of how easy it is to get started with Django Tasks Some notes on starting to use Django Julia Evans A handful of reasons why Django is a great choice for a web framework less magic than Rails a built-in admin nice ORM automatic migrations nice docs you can use sqlite in production built in email The definitive guide to using Django with SQLite in production I'm gonna have to study this a bit. The conclusion states one of the benefits is “reduced complexity”, but, it still seems like quite a bit to me. Michael #4: Datastar Sent to us by Forrest Lanier Lots of work by Chris May Out on Talk Python soon. Official Datastar Python SDK Datastar is a little like HTMX, but The single source of truth is your server Events can be sent from server automatically (using SSE) e.g yield SSE.patch_elements( f"""{(#HTML#)}{datetime.now().isoformat()}""" ) Why I switched from HTMX to Datastar article Extras Brian: Django Chat: Inverting the Testing Pyramid - Brian Okken Quite a fun interview PEP 686 – Make UTF-8 mode default Now with status “Final” and slated for Python 3.15 Michael: Prayson Daniel's Paper tracker Ice Cubes (open source Mastodon client for macOS) Rumdl for PyCharm, et. al cURL Gets Rid of Its Bug Bounty Program Over AI Slop Overrun Python Developers Survey 2026 Joke: Pushed to prod

Ori Bendet, Vice President of Product Management at Checkmarx, joined Doug Green, Publisher of Technology Reseller News, to discuss how the acquisition of Tromzo strengthens Checkmarx's agentic application security strategy and reflects a broader shift in how organizations secure software in an AI-driven development era. Bendet explained that Checkmarx, a pioneer in application security with more than two decades of experience, has traditionally focused on helping organizations identify vulnerabilities early in the software development lifecycle (SDLC). However, the rapid adoption of AI-generated code has fundamentally changed the AppSec landscape. “The industry used to be fixated on finding vulnerabilities,” Bendet said. “Now the real challenge is fixing them at scale, in context, and without slowing developers down.” The Tromzo acquisition builds on Checkmarx's existing family of agentic tools, Checkmarx Assist, which already provides real-time remediation inside the developer IDE. Tromzo extends these capabilities deeper into the SDLC, enabling automated remediation at the repository and pull-request stages. Together, the technologies aim to “complete the loop” by delivering consistent, trusted remediation from early development through later stages of deployment. Bendet noted that AI is widening the gap between development velocity and security oversight, as significantly more code—and therefore more vulnerabilities—is being produced. At the same time, the application footprint itself is evolving to include AI components such as large language models, agents, and third-party AI services. “There is now a new AI element inside the application,” he said, “and organizations need AppSec solutions that understand and protect that expanded footprint.” Auto-remediation, once viewed skeptically by developers, is now gaining acceptance as AI agents gain a deeper understanding of application context. According to Bendet, modern agentic tools can remediate vulnerabilities while preserving business logic and minimizing disruption. “Developers no longer need to spend days undoing fixes that broke functionality,” he said. “The agent can understand the blast radius and refactor automatically.” Looking ahead, Bendet described a future where AppSec becomes more autonomous, with agents continuously testing, fixing, and validating applications while developers shift toward higher-level architectural and review roles. With proper guardrails in place, this evolution promises to reduce alert fatigue and allow teams to focus on innovation rather than remediation backlogs. More information about Checkmarx and its agentic application security approach is available at https://checkmarx.com/, with additional developer-focused resources at https://checkmarx.dev/.

Nezamestnanosť na Slovensku začala byť problémom. Disponibilná miera nezamestnanosti vzrástla v decembri minulého roka až na 5,3 percenta, čo je najviac od apríla 2020. Ide tak o najhoršie dáta od pandémie Covidu. Podľa Inštitútu finančnej politiky sa miera nezamestnanosti zvýšila až v 80 percentách okresov Slovenska, čo hovorí o tom, že vôbec nejde o lokálny problém. Pribudli aj prípady hromadného prepúšťania.Paradoxne, nezamestnanosť rastie v čase, keď počet voľných pracovných miest aj počet zamestnaných cudzincov atakuje historické maximá. Podľa aktuálnych údajov Inštitútu finančnej politiky prekročil počet cudzincov zamestnaných na Slovensku hranicu 135-tisíc, čo je najvyššia úroveň v histórii pričom počet pracovníkov z krajín mimo EÚ presiahol 100-tisíc. Navyše, rastie dopyt po manuálnej práci vo výrobe, nie po manažérskych a iných vysokokvalifikovaných pozíciách.K tomu treba pripočítať dopady už tretieho kola vládnej konsolidácie, ktoré udrelo na zamestnancov, ale aj živnostníkov či podnikateľov no a slovenskú ekonomiku podľa odborníkov výrazne priškrtilo a spomalilo. Vláda pritom pokračuje pokračuje vo zvyšovaní minimálnej mzdy – dnes na úrovni 915 eur, pričom už v roku 2028 by dokonca mala prekročiť 1000 eurovú hranicu. Premiér Fico však už verejne pripúšťa, že jeho doterajší spôsob ozdravovania verejných financií nefunguje.Niektorí zamestnávatelia volia cestu lacnej pracovnej sily, ktorú dovážajú z tretích krajín. Svedčí to o tom, že náš pracovný trh je deformovaný a Slovensko sa tak nevymaní z pasce lacnej pracovnej sily a nízkych príjmov. Navyše, i toto vzdelanú a kvalifikovanú silu vyháňa do zahraničia, hovorí prezidentka Konfederácie odborových zväzov Monika Uhlerová.Sledujete Aktuality Nahlas, pekný deň a pokoj v duši praje Braňo Dobšinský.

Software engineering is changing fast, but not in the way most hot takes claim. Robert Brennan, Co founder and CEO at OpenHands, breaks down what happens when you outsource the typing to the LLM and let software agents handle the repetitive grind, without giving up the judgment that keeps a codebase healthy. This is a practical conversation about agentic development, the real productivity gains teams are seeing, and which skills will matter most as the SDLC keeps evolving. Key TakeawaysAI in the IDE is now table stakes for most engineers, the bigger jump is learning when to delegate work to an agentThe best early wins are the unglamorous tasks, fixing tests, resolving merge conflicts, dependency updates, and other maintenance work that burns time and attentionBigger output creates new bottlenecks, QA and code review can become the limiting factor if your workflow does not adaptSenior engineering judgment becomes more valuable, good architecture and clean abstractions make it easier to delegate safely and avoid turning the codebase into a messThe most durable human edge is empathy, for users, for teammates, and for your future self maintaining the systemTimestamped Highlights00:40 What OpenHands actually is, a development agent that writes code, runs it, debugs, and iterates toward completion02:38 The adoption curve, why most teams start with IDE help, and what “agent engineers” do differently to get outsized gains06:00 If an engineer becomes 10x faster, where does the time go, more creative problem solving, less toil15:01 A real example of the SDLC shifting, a designer shipping working prototypes and even small UI changes directly16:51 The messy middle, why many teams see only moderate gains until they redraw the lines between signal and noise20:42 Skills that last, empathy, critical thinking, and designing systems other people can understand22:35 Why this is still early, even if models stopped improving today, most orgs have not learned how to use them well yetA line worth sharing“The durable competitive advantage that humans have over AI is empathy.”Pro Tips for Tech TeamsStart by delegating low creativity tasks, CI failures, dependency bumps, and coverage improvements are great training wheelsDefine “safe zones” for non engineers contributing, like UI tweaks, while keeping application logic behind clearer guardrailsInvest in abstractions and conventions, you want a codebase an agent can work with, and a human can trustTrack where throughput stalls, if PR review and QA are the bottleneck, productivity gains will not show up where you expectCall to ActionIf you got value from this one, follow the show and share it with an engineer or product leader who is sorting out what “agentic development” actually means in practice.

Topics covered in this episode: GreyNoise IP Check tprof: a targeting profiler TOAD is out Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: GreyNoise IP Check GreyNoise watches the internet's background radiation—the constant storm of scanners, bots, and probes hitting every IP address on Earth. Is your computer sending out bot or other bad-actor traffic? What about the myriad of devices and IoT things on your local IP? Heads up: If your IP has recently changed, it might not be you (false positive). Brian #2: tprof: a targeting profiler Adam Johnson Intro blog post: Python: introducing tprof, a targeting profiler Michael #3: TOAD is out Toad is a unified experience for AI in the terminal Front-end for AI tools such as OpenHands, Claude Code, Gemini CLI, and many more. Better TUI experience (e.g. @ for file context uses fuzzy search and dropdowns) Better prompt input (mouse, keyboard, even colored code and markdown blocks) Terminal within terminals (for TUI support) Brian #4: FastAPI adds Contribution Guidelines around AI usage Docs commit: Add contribution instructions about LLM generated code and comments and automated tools for PRs Docs section: Development - Contributing : Automated Code and AI Great inspiration and example of how to deal with this for popular open source projects “If the human effort put in a PR, e.g. writing LLM prompts, is less than the effort we would need to put to review it, please don't submit the PR.” With sections on Closing Automated and AI PRs Human Effort Denial of Service Use Tools Wisely Extras Brian: Apparently Digg is back and there's a Python Community there Why light-weight websites may one day save your life - Marijke LuttekesHome Michael: Blog posts about Talk Python AI Integrations Announcing Talk Python AI Integrations on Talk Python's Blog Blocking AI crawlers might be a bad idea on Michael's Blog Already using the compile flag for faster app startup on the containers: RUN --mount=type=cache,target=/root/.cache uv pip install --compile-bytecode --python /venv/bin/python I think it's speeding startup by about 1s / container. Biggest prompt yet? 72 pages, 11, 000 Joke: A date via From Pat Decker

Discovering Void Link: The AI-Generated Malware Shaking Up Cybersecurity In this episode, we explore the fascinating discovery of 'Void Link,' one of the first documented cases of advanced malware authored almost entirely by artificial intelligence. Hosts delve into an eye-opening interview with experts from Checkpoint Research—Pedro Drimel  and Sven Rath—who were integral to uncovering this next-gen cyber threat. Learn how Void Link's design, rapid development, and sophisticated features signify a new age in malware creation, and understand the implications for cybersecurity, particularly in cloud and Linux environments. This episode provides a compelling look into the tools and methodologies behind the groundbreaking find, and a rare glimpse into the evolving landscape of AI-driven cyber threats. LINK TO CHECKPOINT RESEARCH PAPER:  https://research.checkpoint.com/2026/voidlink-early-ai-generated-malware-framework/ Cybersecurity Today would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/cst 00:00 Introduction and Sponsor Message 00:19 AI-Generated Malware: The Void Link Case 03:16 Interview with Checkpoint Researchers 04:05 Background of the Researchers 06:56 Discovering Void Link 10:27 Analyzing the Malware 14:46 AI's Role in Malware Development 19:55 Implications and Future of AI in Cybersecurity 21:21 Introduction to IDE and Agent Support 21:45 Jailbreaking AI Models for Malware Development 22:24 Challenges and Implications of AI in Malware 23:43 AI's Role in Malware Detection and Development 26:35 The Future of AI in Cybersecurity 32:30 Operational Security and AI Limitations 33:59 Concluding Thoughts and Future Research 36:28 Final Remarks and Acknowledgements 37:32 Show Wrap-Up and Sponsor Message

Building on the web is like working with the perfect clay. It's malleable and can become almost anything. But too often, frameworks try to hide the web's best parts away from us. Today, we're looking at PyView, a project that brings the real-time power of Phoenix LiveView directly into the Python world. I'm joined by Larry Ogrodnek to dive into PyView. Episode sponsors Talk Python Courses Python in Production Links from the show Guest Larry Ogrodnek: hachyderm.io pyview.rocks: pyview.rocks Phoenix LiveView: github.com this section: pyview.rocks Core Concepts: pyview.rocks Socket and Context: pyview.rocks Event Handling: pyview.rocks LiveComponents: pyview.rocks Routing: pyview.rocks Templating: pyview.rocks HTML Templates: pyview.rocks T-String Templates: pyview.rocks File Uploads: pyview.rocks Streams: pyview.rocks Sessions & Authentication: pyview.rocks Single-File Apps: pyview.rocks starlette: starlette.dev wsproto: github.com apscheduler: github.com t-dom project: github.com Watch this episode on YouTube: youtube.com Episode #535 deep-dive: talkpython.fm/535 Episode transcripts: talkpython.fm Theme Song: Developer Rap

This is the first in a short series of speaker profiles for JavaOne 2026 in Redwood Shores, California, March 17-19. Get early bird pricing until February 9, and for a limited time, take advantage of a $50 discount by using this code at checkout: J12026DCP. Register. Sessions. In this conversation, Jim Grisanzio from Java Developer Relations talks with Jeanne Boyarsky, a Java developer, an author, and a Java Champion based in New York City. Jeanne previews her JavaOne session, which will be a Hands on Lab for Java 25 certification. Previously, Jeanne was a guest on Duke's Corner in January 2024: Jeanne Boyarsky on Java, Learning, and Contributing. Preparing for Java 25 Certification Jeanne will be running a hands-on lab about Java 25 and getting ready for the certification: Becoming One of the First Java 25 Certified Developers in the World (or Learning New Features). The session will cover features added to the language from Java 17 to Java 25. Although the certification has not been announced yet, Jeanne is already preparing for it. "You can be one of the first people in the world to be certified if you come to my talk and learn about it and are ready when the test comes out," she says. The lab will walk through tricky questions and edge cases featuring new functionality, with coding practice to explore the features directly. Even if you are not planning to take the certification test, the lab provides a good way to learn about the new features. The session is designed for beginners with one to three years of experience. Top Features in Java 25 Several features particularly excite Jeanne. She highlights scoped values, which she describes as "a good jump from thread local in order to be able to share code in a nice, safe, contained way." She also appreciates unnamed variables and unnamed patterns because developers no longer need to use annotations to suppress warnings for unused variables. "You can just use an underscore," she says. Jeanne is particularly interested in stream gatherers because streams are one of her favorite features in Java overall. She was excited when stream gatherers were in preview, and now that they are officially released, she can use them in her job. "Nice that the excitement hasn't worn off, right?" Among the new features, Jeanne is especially interested in the new main method, as described in JEP 495: Simple Source Files and Instance Main Methods. "I'm super, super, super excited about the new main methods where you don't need a class and you don't need the whole static void mess," she says. This change makes writing code more succinct. Making Java Accessible to Students This change in how Java handles the main method enables new developers to learn Java faster. Jeanne volunteers at a high school teaching kids how to code in Java. In the past, teachers had to tell students: "Alright, public class foo, public static void. Don't worry about what any of that means. We'll tell you later." But Jeanne says that curious kids would ask what it meant, and teachers could only say that comes later. Now, students start with void main, braces, and IO print line. "It's obvious what everything does," Jeanne says. Void means it does not return anything, which makes sense to students. They can even use the Java Playground and start with just IO print line. When they move to the command line or an IDE, they only need the void main part without discussing the word class until they are ready to learn about classes and objects. "It makes their first impression of the language so much better, and it makes it so much faster and easier for them to get started," Jeanne says. She particularly appreciates the Java Playground because students do not need anything installed on their computers to start. They can write print lines, loops, and control structures, and by the time teachers ask them to install something, they are already invested in programming. "It's fun." Jeanne calls the Java Playground "awesome" and says it's a "really nice utility" even for experienced developers. She uses it herself for quick tests when she does not want to open an IDE. JavaOne on Oracle's Campus When asked about JavaOne, Jeanne describes the conference as moving to California last year, just outside San Francisco on Oracle's campus. "The weather was great, which is awesome because I live in New York City. There's snow outside right now," she laughs. The venue particularly impressed her. "It was nice because it was on Oracle's campus. You got a feel for it. It was pretty. There was a lake. There was a lot of areas to connect with people inside and outside." The conference was held largely in one building, with lunch in another building nearby, which made it easy to engage people repeatedly. "Even if you don't know people, the fact that they're at JavaOne means they're interested in Java. So, you can go over to anyone and introduce yourself." One of Jeanne's favorite memories from a previous JavaOne was meeting Duke and seeing her book in the Java bookstore. Advice for Students When asked for advice for students learning computer science, Jeanne recommends learning the fundamentals while using AI to help. "Rather than using AI to write the code, have it give you practice questions or do code review or ideas of projects," she suggests. Students also often ask what professional developers do daily. Her answer provides a realistic picture of professional software development. "Every day is a little bit different, but most days include a mix of meetings, working with my coworkers, code reviews, writing code, now with AI," she says. Problem solving takes many forms, from performance questions like "Why is this slow?" to security concerns about making systems more secure. A significant part of her role involves understanding what users actually need. "A lot of the time users ask for what they think they want and not what they actually want," Jeanne says. Through user interviews, she works to understand what they are trying to accomplish, which often leads to better solutions than what they initially requested. "So not just building what you're told is a huge thing, especially as you become more senior in your career," she says. The goal is to make users productive and happy, not just to code. Technology keeps changing, and for Jeanne, that constant evolution makes the work fun. She has embraced AI tools as coding assistants, using them for pair programming, generating tests, and suggesting next steps. When her team piloted coding assistants, they focused on choosing a tool rather than waiting for the perfect tool. "The important thing is to get a tool and get people going and using it and being more productive," she says. The learning curve is not high, and the tools pay for themselves almost immediately. However, Jeanne says that it's important to understand what you are doing rather than using AI to replace that understanding. "It's about understanding what you're doing and not using the AI to replace it because at least with the coding assistance, it's right 90, 95% of the time," she says. She talked about an example of asking AI to generate a regular expression while pairing with a junior programmer. The AI started writing it properly but then made an error. "I noticed it right away because I know what correct is," she says. After giving it another prompt with a hint, it produced the correct result. Without knowing what correct looks like, developers cannot effectively verify and fix AI-generated code. The AI Hype Cycle Regarding concerns about AI making developers obsolete, Jeanne is pragmatic. "I've heard that enough times that I'm a little skeptical," she says, adding that this is the third or fourth time some technology has been predicted to take all the jobs. Instead, she sees AI as enabling developers to accomplish more and make users happier. She has a big backlog "that goes on forever." She says it would be great if we could get more of it done and in the hands of customers. "I think we're at that phase in the hype cycle for AI where people are talking about AI like it solves all your problems, [but] it solves some of your problems. But because there's less acknowledgement of the ones it doesn't solve, it's easier to have that skepticism." When asked if AI represents a paradigm shift or just the latest tool, she responds: "Right now, I think it's the latest tool, but I do think we're going to get to the point where we're programming at a higher level." Connect with Jeanne: X, LinkedIn, Bluesky Connect with Jim: X, LinkedIn Duke's Corner Java Podcast: Libsyn

In this episode, we explore how to de-risk your career roadmap by identifying the hidden vulnerabilities that hold your decision-making hostage.

Topics covered in this episode: Better Django management commands with django-click and django-typer PSF Lands a $1.5 million sponsorship from Anthropic How uv got so fast PyView Web Framework Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Better Django management commands with django-click and django-typer Lacy Henschel Extend Django manage.py commands for your own project, for things like data operations API integrations complex data transformations development and debugging Extending is built into Django, but it looks easier, less code, and more fun with either django-click or django-typer, two projects supported through Django Commons Michael #2: PSF Lands a $1.5 million sponsorship from Anthropic Anthropic is partnering with the Python Software Foundation in a landmark funding commitment to support both security initiatives and the PSF's core work. The funds will enable new automated tools for proactively reviewing all packages uploaded to PyPI, moving beyond the current reactive-only review process. The PSF plans to build a new dataset of known malware for capability analysis The investment will sustain programs like the Developer in Residence initiative, community grants, and infrastructure like PyPI. Brian #3: How uv got so fast Andrew Nesbitt It's not just be cause “it's written in Rust”. Recent-ish standards, PEPs 518 (2016), 517 (2017), 621 (2020), and 658 (2022) made many uv design decisions possible And uv drops many backwards compatible decisions kept by pip. Dropping functionality speeds things up. “Speed comes from elimination. Every code path you don't have is a code path you don't wait for.” Some of what uv does could be implemented in pip. Some cannot. Andrew discusses different speedups, why they could be done in Python also, or why they cannot. I read this article out of interest. But it gives me lots of ideas for tools that could be written faster just with Python by making design and support decisions that eliminate whole workflows. Michael #4: PyView Web Framework PyView brings the Phoenix LiveView paradigm to Python Recently interviewed Larry on Talk Python Build dynamic, real-time web applications using server-rendered HTML Check out the examples. See the Maps demo for some real magic How does this possibly work? See the LiveView Lifecycle. Extras Brian: Upgrade Django, has a great discussion of how to upgrade version by version and why you might want to do that instead of just jumping ahead to the latest version. And also who might want to save time by leapfrogging Also has all the versions and dates of release and end of support. The Lean TDD book 1st draft is done. Now available through both pythontest and LeanPub I set it as 80% done because of future drafts planned. I'm working through a few submitted suggestions. Not much feedback, so the 2nd pass might be fast and mostly my own modifications. It's possible. I'm re-reading it myself and already am disappointed with page 1 of the introduction. I gotta make it pop more. I'll work on that. Trying to decide how many suggestions around using AI I should include. It's not mentioned in the book yet, but I think I need to incorporate some discussion around it. Michael: Python: What's Coming in 2026 Python Bytes rewritten in Quart + async (very similar to Talk Python's journey) Added a proper MCP server at Talk Python To Me (you don't need a formal MCP framework btw) Example one: latest-episodes-mcp.png Example two: which-episodes-mcp.webp Implmented /llms.txt for Talk Python To Me (see talkpython.fm/llms.txt ) Joke: Reverse Superman

Программируемый текстовый редактор для программирования — от программистов. Звучит как утопия? Нет, это Emacs! Инструменту уже больше 40 лет, но он отказывается умирать. Более того, некоторые разработчики переезжают на него с современных IDE. Чтобы разобраться в этой магии, мы позвали Дмитрия Бушенко — ветерана разработки и знатока Emacs. Разобрали архитектуру и то, как она обеспечивает невероятную расширяемость Emacs, почему этот редактор иногда называют операционной системой (без нормального текстового редактора), узнали, почему гость бросил Vim ради Emacs, и поразмышляли, есть ли смысл страдать с конфигами в эпоху AI и VS Code. Выпуск для тех, кто хочет понять философию true-инженерии и тотальной кастомизации. Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Катя Петрова, Стас Цыганов Полезные ссылки: YouTube-канал Дмитрия https://www.youtube.com/@dbushenko YouTube-канал Куда зовет дорога https://www.youtube.com/@dmitry.bushenko Файл display.c https://reid.org/~brian/misc/gosling-emacs-1999.tar Блог Sacha Chua https://sachachua.com/blog/ GNU Emacs https://www.gnu.org/software/emacs/ Сайт MELPA https://melpa.org/ An Emacs framework for the stubborn martian hacker https://github.com/doomemacs/doomemacs Документация по Emacs https://codeberg.org/IDEmacs/IDEmacs A community driven list of useful Emacs packages, libraries and other items https://github.com/emacs-tw/awesome-emacs

In this episode, we sit down with Milica Kostic, an embedded software architect from Belgrade, Serbia, to discuss her journey from C/C++ to Rust and what it means for embedded development. Milica shares her experience adopting Rust in production environments, starting with an embedded Linux project using a microservice architecture that allowed for clean isolation of Rust code.We explore the practical realities of learning Rust as an experienced C/C++ developer - yes, there's a learning curve, and yes, the compiler will slap you on the wrist frequently. But Milica explains how the development experience, with cargo as a package manager and built-in tooling for testing and static analysis, makes the journey worthwhile. She's candid about where Rust shines (embedded Linux, greenfield projects) and where challenges remain (microcontroller support, IDE tooling, vendor backing).The conversation touches on the bigger question facing our industry: with memory safety becoming critical in our connected world, what role should Rust play in new embedded projects? While Milica takes a measured stance - acknowledging that C and C++ aren't going anywhere - she's clearly excited about Rust's potential, especially in safety-critical domains like medical devices. Whether you're Rust-curious or still skeptical, this episode offers a grounded perspective from someone who's actually shipped production code in Rust.Key Topics[02:30] Milica's background in embedded systems and her journey from electrical engineering to embedded software development, with focus on safety-critical industries like medical devices[04:15] The path to adopting Rust: from first hearing about it in 2020 to finding a client project willing to embrace it, and the importance of having experienced Rust developers on the team[07:00] Choosing the right project for Rust adoption: embedded Linux with microservice architecture as an ideal starting point, avoiding complex C/C++ interoperability[10:45] The learning curve: getting used to the Rust compiler's strictness, discovering the ecosystem of unofficial but widely-used crates, and how learning Rust improved C++ skills[14:20] What makes Rust development pleasant: cargo as package manager, built-in testing and static analysis, cleaner code organization with modules, and writing unit tests alongside source code[17:30] Current limitations: lack of official vendor support for microcontrollers, community-driven development, potential gaps in certified stacks (like BLE), and IDE support challenges[20:15] Interfacing Rust with C and C++: C binding works well, C++ has limitations with inheritance and templates, and the safety considerations when using unsafe code blocks[25:40] Integrating Rust into legacy projects: when it makes sense (isolated new features requiring memory safety) and when it doesn't (just for experimentation), plus maintenance considerations[30:00] The big question: Is it irresponsible not to use Rust for new projects? Discussion of Philip Marcraff's strong stance and Milica's more nuanced view considering team knowledge, existing tooling, and project context[33:45] The influence between languages: how C++ is learning from Rust's memory safety features, and why the borrow checker is harder to retrofit than basic safety improvements[36:20] Rust in operating systems: adoption in the Linux kernel and Microsoft Windows, and major tech companies pushing C++/Rust interoperability forward[39:00] The future of Rust in embedded: Milica's view that C, C++, and Rust will coexist, each with their own use cases, advantages, and trade-offsNotable Quotes"Learning Rust has also made me a better C++ developer as well. Once you get used to those rules, you apply them in C++ as well." — Milica"Just like writing Rust code is pleasant. It flows much nicer than or easier than it would with C++, for example. The way you organize your code, in my opinion, is also cleaner." — Milica"If you are developing Rust for embedded systems on microcontrollers, you need to be aware that there is no official vendor support. Everything currently is open source and driven by the community." — Milica"You definitely do not lose benefits of using Rust for the rest of your codebase when using a C library. That C library is isolated, and if there are some memory issues, then you know where to look." — Milica"I think most of the benefits come from starting with Rust in the first place. So having a clean slate, starting a new product, new project with Rust. That's where you see the most benefits." — MilicaResources MentionedEmbassy - An async framework used in embedded Rust projects, mentioned as a good starting point for greenfield embedded developmentZephyr RTOS - Real-time operating system that is working on official Rust integration, though not fully there yetRust Rover - JetBrains' official IDE for Rust development, released about a year and a half ago, though with some limitations for embedded developmentZed - A new IDE written completely in Rust, mentioned as an emerging option for Rust developmentSlint - A Rust-based GUI framework for embedded systemsEmbedded Online Conference - Conference where Milica gave a talk on Rust for embedded systems - link to her presentation in show notesMilica's LinkedInMilica's talk on Rust at the Embedded Online Conference You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/

Poslanci Slovenskej národnej strany prišli so zákonom, ktorý môže opäť priniesť chaos do koaličných vzťahov. Reč je o znižovaní trestov za extrémizmus. Kým za kritiku Benešových dekrétov hrozí po novom väzenie, za hajlovanie či popieranie holokaustu by ste mohli vyviaznuť len s podmienkou.Ide pri tom o už tretiu novelizáciu Trestného zákona súčasnou vládou. Koaličné strany však majú na legislatívu odlišné názory.Môže tento zákon naozaj schváliť parlament?V dnešnom podcaste sa budeme rozprávať s politickým redaktorom Marekom Biroóm, ktorý sa téme venoval a podrobne vysvetlí všetky navrhované zmeny.Moderovala Frederika Lodová.

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Your cloud SSD is sitting there, bored, and it would like a job. Today we're putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up Redis or extra services. Once you start to see what it can do, a universe of possibilities opens up. We're joined by Vincent Warmerdam to dive into DiskCache. Episode sponsors Talk Python Courses Python in Production Links from the show diskcache docs: grantjenks.com LLM Building Blocks for Python course: training.talkpython.fm JSONDisk: grantjenks.com Git Code Archaeology Charts: koaning.github.io Talk Python Cache Admin UI: blobs.talkpython.fm Litestream SQLite streaming: litestream.io Plash hosting: pla.sh Watch this episode on YouTube: youtube.com Episode #534 deep-dive: talkpython.fm/534 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: port-killer How we made Python's packaging library 3x faster CodSpeed Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features:

AI isn't quietly changing software development… it's rewriting the rules while most security programs are still playing defense. When agents write code at machine speed, the real risk isn't velocity, it's invisible security debt compounding faster than teams can see it. In this episode, Ron Eddings sits down with Varun Badhwar, Co-Founder & CEO of Endor Labs, and Henrik Plate, Principal Security Researcher of Endor Labs, to break down how AI-assisted development is reshaping the software supply chain in real time. From MCP servers exploding across GitHub to agents trained on insecure code patterns, they analyze why traditional AppSec controls fail in an agent-driven world and what must replace them. This conversation pulls directly from Endor Labs' 2025 State of Dependency Management Report, revealing why most AI-generated code is functionally correct yet fundamentally unsafe, how malicious packages are already exploiting agent workflows, and why security has to exist inside the IDE, not after the pull request. Impactful Moments 00:00 – Introduction 02:00 – Star Wars meets cybersecurity culture 03:00 – Why this report matters now 04:00 – MCP adoption explodes overnight 10:00 – Can you trust MCP servers 12:00 – Malicious packages weaponize agents 14:00 – Code works, security fails 22:00 – Hooks expose agent behavior 28:30 – 2026 means longer lunches 33:00 – How Endor Labs fixes this Links Connect with our Varun on LinkedIn: https://www.linkedin.com/in/vbadhwar/ Connect with our Henrik on LinkedIn: https://www.linkedin.com/in/henrikplate/   Check out Endor Labs State of Dependency Management 2025: https://www.endorlabs.com/lp/state-of-dependency-management-2025   Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/    

Today on Talk Python, the creators behind FastAPI, Flask, Django, Quart, and Litestar get practical about running apps based on their framework in production. Deployment patterns, async gotchas, servers, scaling, and the stuff you only learn at 2 a.m. when the pager goes off. For Django, we have Carlton Gibson and Jeff Triplet. For Flask, we have David Lord and Phil Jones, and on team Litestar we have Janek Nouvertné and Cody Fincher, and finally Sebastián Ramírez from FastAPI is here. Let's jump in. Episode sponsors Talk Python Courses Python in Production Links from the show Carlton Gibson - Django: github.com Sebastian Ramirez - FastAPI: github.com David Lord - Flask: davidism.com Phil Jones - Flask and Quartz(async): pgjones.dev Yanik Nouvertne - LiteStar: github.com Cody Fincher - LiteStar: github.com Jeff Triplett - Django: jefftriplett.com Django: www.djangoproject.com Flask: flask.palletsprojects.com Quart: quart.palletsprojects.com Litestar: litestar.dev FastAPI: fastapi.tiangolo.com Coolify: coolify.io ASGI: asgi.readthedocs.io WSGI (PEP 3333): peps.python.org Granian: github.com Hypercorn: github.com uvicorn: uvicorn.dev Gunicorn: gunicorn.org Hypercorn: hypercorn.readthedocs.io Daphne: github.com Nginx: nginx.org Docker: www.docker.com Kubernetes: kubernetes.io PostgreSQL: www.postgresql.org SQLite: www.sqlite.org Celery: docs.celeryq.dev SQLAlchemy: www.sqlalchemy.org Django REST framework: www.django-rest-framework.org Jinja: jinja.palletsprojects.com Click: click.palletsprojects.com HTMX: htmx.org Server-Sent Events (SSE): developer.mozilla.org WebSockets (RFC 6455): www.rfc-editor.org HTTP/2 (RFC 9113): www.rfc-editor.org HTTP/3 (RFC 9114): www.rfc-editor.org uv: docs.astral.sh Amazon Web Services (AWS): aws.amazon.com Microsoft Azure: azure.microsoft.com Google Cloud Run: cloud.google.com Amazon ECS: aws.amazon.com AlloyDB for PostgreSQL: cloud.google.com Fly.io: fly.io Render: render.com Cloudflare: www.cloudflare.com Fastly: www.fastly.com Watch this episode on YouTube: youtube.com Episode #533 deep-dive: talkpython.fm/533 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: ty: An extremely fast Python type checker and LSP Python Supply Chain Security Made Easy typing_extensions MI6 chief: We'll be as fluent in Python as we are in Russian Extras Joke Watch on YouTube About the show Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: ty: An extremely fast Python type checker and LSP Charlie Marsh announced the Beta release of ty on Dec 16 “designed as an alternative to tools like mypy, Pyright, and Pylance.” Extremely fast even from first run Successive runs are incremental, only rerunning necessary computations as a user edits a file or function. This allows live updates. Includes nice visual diagnostics much like color enhanced tracebacks Extensive configuration control Nice for if you want to gradually fix warnings from ty for a project Also released a nice VSCode (or Cursor) extension Check the docs. There are lots of features. Also a note about disabling the default language server (or disabling ty's language server) so you don't have 2 running Michael #2: Python Supply Chain Security Made Easy We know about supply chain security issues, but what can you do? Typosquatting (not great) Github/PyPI account take-overs (very bad) Enter pip-audit. Run it in two ways: Against your installed dependencies in current venv As a proper unit test (so when running pytest or CI/CD). Let others find out first, wait a week on all dependency updates: uv pip compile requirements.piptools --upgrade --output-file requirements.txt --exclude-newer "1 week" Follow up article: DevOps Python Supply Chain Security Create a dedicated Docker image for testing dependencies with pip-audit in isolation before installing them into your venv. Run pip-compile / uv lock --upgrade to generate the new lock file Test in a ephemeral pip-audit optimized Docker container Only then if things pass, uv pip install / uv sync Add a dedicated Docker image build step that fails the docker build step if a vulnerable package is found. Brian #3: typing_extensions Kind of a followup on the deprecation warning topic we were talking about in December. prioinv on Mastodon notified us that the project typing-extensions includes it as part of the backport set. The warnings.deprecated decorator is new to Python 3.13, but with typing-extensions, you can use it in previous versions. But typing_extesions is way cooler than just that. The module serves 2 purposes: Enable use of new type system features on older Python versions. Enable experimentation with type system features proposed in new PEPs before they are accepted and added to the typing module. So cool. There's a lot of features here. I'm hoping it allows someone to use the latest typing syntax across multiple Python versions. I'm “tentatively” excited. But I'm bracing for someone to tell me why it's not a silver bullet. Michael #4: MI6 chief: We'll be as fluent in Python as we are in Russian "Advances in artificial intelligence, biotechnology and quantum computing are not only revolutionizing economies but rewriting the reality of conflict, as they 'converge' to create science fiction-like tools,” said new MI6 chief Blaise Metreweli. She focused mainly on threats from Russia, the country is "testing us in the grey zone with tactics that are just below the threshold of war.” This demands what she called "mastery of technology" across the service, with officers required to become "as comfortable with lines of code as we are with human sources, as fluent in Python as we are in multiple other languages." Recruitment will target linguists, data scientists, engineers, and technologists alike. Extras Brian: Next chapter of Lean TDD being released today, Finding Waste in TDD Still going to attempt a Jan 31 deadline for first draft of book. That really doesn't seem like enough time, but I'm optimistic. SteamDeck is not helping me find time to write But I very much appreciate the gift from my fam Send me game suggestions on Mastodon or Bluesky. I'd love to hear what you all are playing. Michael: Astral has announced the Beta release of ty, which they say they are "ready to recommend to motivated users for production use." Blog post Release page Reuven Lerner has a video series on Pandas 3 Joke: Error Handling in the age of AI Play on the inversion of JavaScript the Good Parts

Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On this episode, we have an amazing panel to give us a range of perspectives on what matter in 2025 in Python. We have Barry Warsaw, Brett Cannon, Gregory Kapfhammer, Jodie Burchell, Reuven Lerner, and Thomas Wouters on to give us their thoughts. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Talk Python Courses Links from the show Python Software Foundation (PSF): www.python.org PEP 810: Explicit lazy imports: peps.python.org PEP 779: Free-threaded Python is officially supported: peps.python.org PEP 723: Inline script metadata: peps.python.org PyCharm: www.jetbrains.com JetBrains: www.jetbrains.com Visual Studio Code: code.visualstudio.com pandas: pandas.pydata.org PydanticAI: ai.pydantic.dev OpenAI API docs: platform.openai.com uv: docs.astral.sh Hatch: github.com PDM: pdm-project.org Poetry: python-poetry.org Project Jupyter: jupyter.org JupyterLite: jupyterlite.readthedocs.io PEP 690: Lazy Imports: peps.python.org PyTorch: pytorch.org Python concurrent.futures: docs.python.org Python Package Index (PyPI): pypi.org EuroPython: tickets.europython.eu TensorFlow: www.tensorflow.org Keras: keras.io PyCon US: us.pycon.org NumFOCUS: numfocus.org Python discussion forum (discuss.python.org): discuss.python.org Language Server Protocol: microsoft.github.io mypy: mypy-lang.org Pyright: github.com Pylance: marketplace.visualstudio.com Pyrefly: github.com ty: github.com Zuban: docs.zubanls.com Jedi: jedi.readthedocs.io GitHub: github.com PyOhio: www.pyohio.org Watch this episode on YouTube: youtube.com Episode #532 deep-dive: talkpython.fm/532 Episode transcripts: talkpython.fm Theme Song: Developer Rap

175. podcast Autobazar.EU - 1. januára 2026 nadobúda účinnosť novela Zákona o cestnej premávke, ktorá sa dotkne desiatok tisícov vodičov na Slovensku, ale aj cyklistov či kolobežkárov.Bez kontextu by sme povedali, že sa mení sa doba platnosti vodičských preukazov vydaných do roku 2013, cyklisti dostali rýchlostný limit a nasledujúca novela prináša aj zelené brzdové svetlo. Tieto zmeny si v tejto epizóde prejdeme podrobnejšie, a ako to už býva, nie je to vôbec tak negatívne, ako sa môže na prvé počutie zdať.Rýchlosť chôdze definovaná zákonom Asi všetci ste počuli o tom, že zákonodarcovia do legislatívy zahrnuli aj maximálnu rýchlosť chôdze, a to 6 km/h.Konkrétne ide o novelizovaný § 2, ods. 2 písm. s) so znením, že rýchlosťou chôdze sa rozumie rýchlosť neprevyšujúca 6 km/h. Ide o takzvané vymedzenie základných pojmov.Internetom kolovali vtipy, ale aj oprávnené obavy, že policajné hliadky budú merať rýchlosť chodcov a prípadne im ukladať blokové pokuty. Ako medzičasom potvrdil samotný Policajný zbor SR, rýchlosť chodcov sa merať nebude, a je na to dobrý dôvod.Norma 6 km/h doteraz v zákone chýbala, a predsa sa na ňu odvolávali niektoré paragrafy v rovnakom zákone - spravidla išlo o dovolenú rýchlosť kolobežiek, bicyklov, skateboardov a iných nemotorových dopravných prostriedkov na chodníkoch.V nadväznosti na túto novinku sa preto upravujú aj § 52 ods. 5) a odseky 1 a 6 paragrafu 55. Týkajú sa osôb, ktoré sa po chodníku pohybujú na lyžiach, korčuliach, kolobežke, skateboarde a na bicykli - tí po novom už zo zákona nesmú prekročiť rýchlosť 6 km/h.Svojím spôsobom tak skutočne dostali cyklisti maximálnu dovolenú rýchlosť, ale iba na chodníku. Na ceste platia pre cyklistov rovnaké predpisy ako pre autá.Naďalej pritom platí, že dospelý cyklista má využívať cestu, nie chodník. Bicykel na chodníku smú používať iba deti do 10 rokov a dospelí, ktorí jazdia na bicykli s dieťaťom alebo dieťa na bicykli sprevádzajú.Teraz si prejdime tie dôležitejšie zmeny, ktoré reálne zasiahnu desiatky tisíc slovenských motoristov.Lekárske prehliadky od vyššieho veku, počíta sa aj preventívka.Od 1.1.2026 platí, že na pravidelné lekárske prehliadky musia vodiči až od 70. roku života, a to raz za 5 rokov. Doteraz to bolo od 65. roku života.Novelizácia § 87 navyše zavádza aj novú výhodu, ktorá motoristom zjednoduší tento proces - za lekársku prehliadku sa môže považovať aj preventívna prehliadka u obvodného lekára. Táto preventívka však musí byť prevedená korektne, s ohľadom na potreby tohto zákona.Šoférom z povolania sa termíny kontrol nemenia Stríž v podcaste upozorňuje, že pre vodičov z povolania platia iné pravidlá. Tí musia absolvovať zodpovedajúce lekárske prehliadky každých 5 rokov bez ohľadu na vek, ale od 65. roku života už každé dva roky.Týka sa to ako vodičov z povolania, tak osoby vedúce vozidlá skupiny C1, C1E, C, CE, D1, D1E, D a DE.Znenie zákona od 1.1.2026:Pravidelným lekárskym prehliadkam každých päť rokov a po dosiahnutí veku 65 rokov každé dva roky sú povinní podrobiť saa) vodiči, ktorí sú držiteľmi vodičského preukazu Slovenskej republiky a ktorí vedú motorové vozidlo skupiny C1, C1E, C, CE, D1, D1E, D a DE,b vodiči, ktorí sú držiteľmi vodičského preukazu Slovenskej republiky a ktorí vedú vozidlo s právom prednostnej jazdy, motorové vozidlo využívané na zasielateľstvo a taxislužbu a na poskytovanie poštových služieb.Súvisiace zmeny vo vodičákoch (nielen) vydaných do roku 2013Spolu s lekárskymi prehliadkami od 70. roku života sa upravuje aj súvisiaci tretí a piaty odsek § 94.Platnosť bežných vodičákov na motocykle, osobné a ľahké úžitkové automobily a traktory je naďalej 15 rokov, najviac však do dovŕšenia veku 70 rokov (doteraz 65...

Note: Steve and Gene's talk on Vibe Coding and the post IDE world was one of the top talks of AIE CODE: https://www.youtube.com/watch?v=7Dtu2bilcFs&t=1019s&pp=0gcJCU0KAYcqIYzv From building legendary platforms at Google and Amazon to authoring one of the most influential essays on AI-powered development (Revenge of the Junior Developer, quoted by Dario Amodei himself), Steve Yegge has spent decades at the frontier of software engineering—and now he's leading the charge into what he calls the "factory farming" era of code. After stints at SourceGraph and building Beads (a purely vibe-coded issue tracker with tens of thousands of users), Steve co-authored The Vibe Coding Book and is now building VC (VibeCoder), an agent orchestration dashboard designed to move developers from writing code to managing fleets of AI agents that coordinate, parallelize, and ship features while you sleep. We sat down with Steve at AI Engineer Summit to dig into why Claude Code, Cursor, and the entire 2024 stack are already obsolete, what it actually takes to trust an agent after 2,000 hours of practice (hint: they will delete your production database if you anthropomorphize them), why the real skill is no longer writing code but orchestrating agents like a NASCAR pit crew, how merging has become the new wall that every 10x-productive team is hitting (and why one company's solution is literally "one engineer per repo"), the rise of multi-agent workflows where agents reserve files, message each other via MCP, and coordinate like a little village, why Steve believes if you're still using an IDE to write code by January 1st, you're a bad engineer, how the 12–15 year experience bracket is the most resistant demographic (and why their identity is tied to obsolete workflows), the hidden chaos inside OpenAI, Anthropic, and Google as they scale at breakneck speed, why rewriting from scratch is now faster than refactoring for a growing class of codebases, and his 2025 prediction: we're moving from subsistence agriculture to John Deere-scale factory farming of code, and the Luddite backlash is only just beginning. We discuss: Why Claude Code, Cursor, and agentic coding tools are already last year's tech—and what comes next: agent orchestration dashboards where you manage fleets, not write lines The 2,000-hour rule: why it takes a full year of daily use before you can predict what an LLM will do, and why trust = predictability, not capability Steve's hot take: if you're still using an IDE to develop code by January 1st, 2025, you're a bad engineer—because the abstraction layer has moved from models to full-stack agents The demographic most resistant to vibe coding: 12–15 years of experience, senior engineers whose identity is tied to the way they work today, and why they're about to become the interns Why anthropomorphizing LLMs is the biggest mistake: the "hot hand" fallacy, agent amnesia, and how Steve's agent once locked him out of prod by changing his password to "fix" a problem Should kids learn to code? Steve's take: learn to vibe code—understand functions, classes, architecture, and capabilities in a language-neutral way, but skip the syntax The 2025 vision: "factory farming of code" where orchestrators run Cloud Code, scrub output, plan-implement-review-test in loops, and unlock programming for non-programmers at scale — Steve Yegge X: https://x.com/steve_yegge Substack (Stevie's Tech Talks): https://steve-yegge.medium.com/ GitHub (VC / VibeCoder): https://github.com/yegge-labs Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Steve Yegge on Vibe Coding and AI Engineering 00:00:59 The Backlash: Who Resists Vibe Coding and Why 00:04:26 The 2000 Hour Rule: Building Trust with AI Coding Tools 00:03:31 The January 1st Deadline: IDEs Are Becoming Obsolete 00:02:55 10X Productivity at OpenAI: The Performance Review Problem 00:07:49 The Hot Hand Fallacy: When AI Agents Betray Your Trust 00:11:12 Claude Code Isn't It: The Need for Agent Orchestration 00:15:20 The Orchestrator Revolution: From Cloud Code to Agent Villages 00:18:46 The Merge Wall: The Biggest Unsolved Problem in AI Coding 00:26:33 Never Rewrite Your Code - Until Now: Joel Spolsky Was Wrong 00:22:43 Factory Farming Code: The John Deere Era of Software 00:29:27 Google's Gemini Turnaround and the AI Lab Chaos 00:33:20 Should Your Kids Learn to Code? The New Answer 00:34:59 Code MCP and the Gossip Rate: Latest Vibe Coding Discoveries

Por que Deus se fez homem? - Shaila Manzoni by IDE

As the year draws to a close, the Dev Interrupted team reflects on a transformative year in engineering spanning the rise of RAG and vector databases to the emergence of agentic workflows. For the first time, we're taking the conversation out of the booth and into the IDE. Head over to the Dev Interrupted YouTube channel to watch the team vibe code custom holiday cards and close out the year with some chaotic creativity.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Kencan Dengan Tuhan - Rabu, 24 Desember 2025Bacaan: "Lalu Lot melayangkan pandangnya dan dilihatnyalah, bahwa seluruh Lembah Yordan banyak airnya, seperti taman TUHAN, seperti tanah Mesir, sampai ke Zoar. Hal itu terjadi sebelum TUHAN memusnahkan Sodom dan Gomora." (Kejadian 13:10)Renungan: Walter Elias Disney atau lebih dikenal dengan nama Walt Disney dulunya adalah seorang pengangguran. Karena punya bakat menggambar, ia mencoba mengirim hasil gambarnya kepada beberapa penerbit namun ditolak. Keadaan itu membuatnya frustrasi. Bahkan saking tak punya uang, la mesti tinggal di sembarang tempat, di sebuah gudang tua yang kotor dan dipenuhi tikus-tikus. Siapa sangka berkat justru datang dari tempat yang kotor tersebut. Ya, saat melihat tikus-tikus berkeliaran itu, muncul ide di pikiran Disney untuk membuat tokoh kartun dari sosok tikus. Itulah awal bagaimana Mickey Mouse tercipta. Ide ini begitu unik sehingga menarik industry film untuk membuat film animasinya. Selanjutnya, kita tahu bagaimana cerita akhirnya. Saat Lot melihat tanah Sodom yang sangat subur, ia melihat tempat itu penuh berkat. Apa yang kelihatan menjanjikan, nyatanya di kemudian hari malah menjerumuskan. Sebaliknya, Abraham mulanya mungkin hanya melihat tanah Kanaan yang gersang, yang jauh dari kata subur, namun ujungnya tanah itu limpah dengan susu dan madu. Apa yang kita lihat hari-hari ini dalam pekerjaan kita ? Mungkin kita melihat hal yang masih kecil, sesuatu yang belum menjanjikan apa-apa, atau hal yang jauh dari berkat. Namun apa yang kita lihat hari ini seolah nampak hanya 'batu', suatu saat dapat berubah menjadi 'berlian' jika saja kita mau tetap setia ada di situ. Ketahuilah, Allah mampu memunculkan berkat dan kebaikan dari hal-hal, dari tempat yang tak pernah kita duga sama sekali. Maka, jangan mengecilkan pekerjaan dan usaha kita hari ini. Jangan meremehkan tempat kerja yang kecil, perusahaan yang belum maju. Ingatlah bahwa yang memberi berkat itu adalah Kristus sendiri. Pekerjaan, atasan, usaha hanyalah saluran-Nya. Jika hubungan kita dengan Allah benar, tidak mungkin berkat-Nya tidak mengalir dalam hidup kita. Maka dari itu, mari jalin relasi yang intim, yang rukun, yang tak ada permusuhan dengan Tuhan. Niscaya, la akan memerintahkan berkat-berkat tercurah dalam hidup kita. Tuhan Yesus memberkati. Doa:Tuhan Yesus, ajarilah aku untuk setia dan bersyukur atas pekerjaan yang saat ini aku kerjakan. Lepaskanlah sungut-sungut dan gerutuanku, agar tidak menjadi penghalang bagi berkat-Mu masuk dalam diriku dan tempat kerjaku. Amin. (Dod).

Topics covered in this episode: Has the cost of building software just dropped 90%? More on Deprecation Warnings How FOSS Won and Why It Matters Should I be looking for a GitHub alternative? Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. HEADS UP: We are taking next week off, happy holiday everyone. Michael #1: Has the cost of building software just dropped 90%? by Martin Alderson Agentic coding tools are collapsing “implementation time,” so the cost curve of shipping software may be shifting sharply Recent programming advancements haven't been that great of a true benefit: Cloud, TDD, microservices, complex frontends, Kubernetes, etc. Agentic AI's big savings are not just code generation, but coordination overhead reduction (fewer handoffs, fewer meetings, fewer blocks). Thinking, product clarity, and domain decisions stay hard, while typing and scaffolding get cheap. Is it the end of software dev? Not really, see Jevons paradox: when production gets cheaper, total demand can rise rather than spending simply falling. (Historically: the efficiency of coal use led to the increased consumption of coal) Pushes back on “only good for greenfield” by arguing agents also help with legacy code comprehension and bug-fixing. I 100% agree. #Legacy code for the win. Brian #2: More on Deprecation Warnings How are people ignoring them? yep, it's right in the Python docs: -W ignore::DeprecationWarning Don't do that! Perhaps the docs should give the example of emitting them only once -W once::::DeprecationWarning See also -X dev mode , which sets -W default and some other runtime checks Don't use warn, use the @warnings.deprecated decorator instead Thanks John Hagen for pointing this out Emits a warning It's understood by type checkers, so editors visually warn you You can pass in your own custom UserWarning with category mypy also has a command line option and setting for this --enable-error-code deprecated or in [tool.mypy] enable_error_code = ["deprecated"] My recommendation Use @deprecated with your own custom warning and test with pytest -W error Michael #3: How FOSS Won and Why It Matters by Thomas Depierre Companies are not cheap, companies optimize cost control. They do this by making purchasing slow and painful. FOSS is/was a major unlock hack to skip procurement, legal, etc. Example is months to start using a paid “Add to calendar” widget! It “works both ways”: the same bypass lowers the barrier for maintainers too, no need for a legal entity, lawyers, liability insurance, or sales motion. Proposals that “fix FOSS” by reintroducing supply-chain style controls (he name-checks SBOMs and mandated processes) risk being rejected or gamed, because they restore the very friction FOSS sidesteps. Brian #4: Should I be looking for a GitHub alternative? Pricing changes for GitHub Actions The self-hosted runner pricing change caused a kerfuffle. It's has been postponed But… if you were to look around, maybe pay attention to These 4 GitHub alternatives are just as good—or better Codeburg, BitBucket, GitLab, Gitea And a new-ish entry, Tangled Extras Brian: End of year sale for The Complete pytest Course Use code XMAS2025 for 50% off before Dec 31 Writing work on Lean TDD book on hold for holidays Will pick up again in January Michael: PyCharm has better Ruff support now out of the box, via Daniel Molnar This is from the release notes of 2025.3: "PyCharm 2025.3 expands its LSP integration with support for Ruff, ty, Pyright, and Pyrefly.” If you check out the LSP section it will land you on this page and you can go to Ruff. The Ruff doc site was also updated. Previously it was only available external tools and a third party plugin, this feels like a big step. Fun quote I saw on ExTwitter: May your bug tracker be forever empty. Joke: Try/Catch/Stack Overflow Create a super annoying linkedin profile - From Tim Kellogg, submitted by archtoad

Koniec roka 2025 sa na Slovensku nesie v znamení napätia, neistoty a rastúcej nespokojnosti, hodnotia ekonóm Viliam Páleník a sociológ Bohumil Búzik v relácii Ide o pravdu.

Есть предположение, что злоупотребление LLM в общем и вайбкодинг в частности отупляет программистов. С другой стороны, этот наброс похож на квохтание Vim-еров на IDE-шников. Где же правда?Спасибо всем, кто нас слушает. Ждем Ваши комментарии.Музыка из выпуска: - https://artists.landr.com/056870627229- https://t.me/angry_programmer_screamsВесь плейлист курса "Kubernetes для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3SrrmOzzdBBsdeQ0YVR3Fc7Бесплатный открытый курс "Rust для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3S2iE00WFPNTzKAARURZW1ZShownotes: 00:00:00 Вступление00:06:15 Из-за чего тупеют люди?00:09:00 Если LLM не подошел, проблема в тебе00:15:35 Плохо ли генерить тесты LLM?00:20:00 Терминальный вайбкодинг00:29:00 Поиск API через LLM 00:34:30 Проектирует человек, а кодит LLM00:42:40 Катастрофа мотивации00:46:15 Эффект циганского гипноза00:51:20 Тупеем ли от поиска через LLM?01:00:00 LLM ловит нас на крючекСсылки:- https://www.youtube.com/watch?v=COovfRQ9hRM : Наше будущее - https://www.linkedin.com/posts/nityan_we-all-know-vibe-coding-has-technical-debt-activity-7339687364216193025-nY2E : Исследование отупения от ИИ - https://codeua.com/ai-coding-tools-can-reduce-productivity-study-results/ : AI Coding Tools Can Reduce Productivity: Study ResultsВидео: https://youtube.com/live/HU7m31-NZmM Слушайте все выпуски: https://dotnetmore.mave.digitalYouTube: https://www.youtube.com/playlist?list=PLbxr_aGL4q3R6kfpa7Q8biS11T56cNMf5Twitch: https://www.twitch.tv/dotnetmoreОбсуждайте:- Telegram: https://t.me/dotnetmore_chatСледите за новостями:– Twitter: https://twitter.com/dotnetmore– Telegram channel: https://t.me/dotnetmoreCopyright: https://creativecommons.org/licenses/by-sa/4.0/

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Christopher Trudeau - guest host: www.linkedin.com Michael's personal site: mkennedy.codes Talk Python in Production Book: talkpython.fm glances: github.com btop: github.com Uptimekuma: uptimekuma.org Coolify: coolify.io Talk Python Blog: talkpython.fm Hetzner (€20 credit with link): hetzner.cloud OpalStack: www.opalstack.com Bunny.net CDN: bunny.net Galleries from the book: github.com Pandoc: pandoc.org Docker: www.docker.com Watch this episode on YouTube: youtube.com Episode #531 deep-dive: talkpython.fm/531 Episode transcripts: talkpython.fm Theme Song: Developer Rap

„Putinova vojna akoby mi zobrala život, odvtedy žijem v zlom sne“, hovorí Oleksandra Sherhina, ktorú vojna vyhnala z domova na predmestí Kyjeva. Ráno 24. februára. Malo byť dňom narodenín jej syna. Stalo sa dňom vojny. Tiež dňom, keď prišla o prácu. A o pár dní prišla k bolestnému rozhodnutiu, že príde aj o domov. To všetko pre agresiu, za ktorou stál Vladimír Putin. Nemá preňho iné pomenovanie ako terorista. A s teroristom sa nerokuje. Je presvečená, že s takými ľuďmi sa ani neuzatvárajú dohody. Tobôž mierové. Oleksandra Sherhina. Ukrajinka, ktorá našla svoj druhý domov na Slovensku. „Keby som nemala syna, zostala by som tam a šla by som aj na front“, hovorí. Z Ukrajiny ju vyhnala zodpovednosť za jeho bezpečie, vysvetľuje.Na Slovensko ich vojna vyhnala podľa rôznych zdrojov do 400-tisíc. Tie oficiálne hovoria o približne 200-tisíc občanoch Ukrajiny, ktorí tu našli svoj domov v čase vojnového besnenia Putinovej mašinérie. Ide o tých, čo sú pod dočasnou ochranou, s dočasným pobytom či pobytom trvalým. Pre zvyšok bolo Slovensko prestupnou krajinou. Speváci, hudobníci, vedci, ale i ľudia s prozaickejšími povolaniami, ktorí denne nastupujú do prevádzok s pásovou výrobou, či vozia nás v taxíkoch našich miest. Spája ich osud vyhnancov vojnového besnenia. Jednou z nich je Oleksandra Sherhina. Z Kyjeva. S bytom z predmestia, ktoré je neďaleko smutne známej Irpine. Domov opustila už v prvé dni invázie, keďže ruské vojská sa dostali nebezpečne blízko. V okupovanej oblasti – v rodisku mamy – v Berďansku zostala zo zdravotných dôvodov časť príbuzenstva. A ona -Oleksandra – zakotvila v Bratislave. Fotografka Pohody, či Novej cvernovky. A najnovšie aj so skúsenosťou vlastnej kaviarne. Čo robí so životmi vojna? Ako ich premieňa rozpínavosť mocných? A aká perspektíva sa črtá v časoch, keď akoby rástlo porozumenie medzi Trumpom a Putinom, no na úkor záujmov Ukrajincov? Témy pre Oleksandru Sherhinu, Ukrajinku, ktorá našla útočisko v Bratislave. Podcast pripravil Jaroslav Barborák.

Chris Hermansen: Don't be Afraid to Create Summary Jim Grisanzio from Java Developer Relations talks with Chris Hermansen, a Java developer, consultant, and data analyst from Canada. Chris discovered Java in the 1990s and was drawn to its free accessibility and object-oriented design. He particularly appreciated Java's straightforward single inheritance model over C++'s complexity. But Chris's path to technology came through mathematics rather than computer science. He identifies streams as Java's most transformative feature for data analysis work and praises how it improved code readability and maintainability. On consulting, Chris cautions against Silicon Valley mantras like "fail often" when applied outside prototyping contexts, and he observes cultural differences in how engineers approach problem-solving with some preferring abstract discussion while others focusing on concrete data. Chris emphasizes that technology work remains fundamentally human and stresses the importance of listening, maintaining humanity in professional life, and avoiding corporate stereotypes. For students, he notes the differences between learning with modern IDEs versus the command line tools of his era when he learned to code, so he advises that new learners to try multiple approaches to deepen their understanding. His core message, which became the episode's title, is simple: "Don't be afraid to create." Discovering Java in the 1990s Chris discovered Java in the mid-1990 when Java was announced while working as a data analyst. "Java came along and it was free to use. It wasn't open source at that point, but it was free to use," he says. "And it really intrigued me because of its object-oriented approach to things, which was something that didn't come with the platform we were working on." Unlike the purchased software products he was using at the time, Java offered a free and accessible alternative that promised serious long-term value. He also appreciated how Java's design avoided the complexities of C++, especially the problems with multiple inheritance. He and a colleague had been discussing moving from Pascal to either C or C++, but his colleague had concerns about C++'s complexity, particularly around multiple inheritance. "The first thing that really jumped out to me was the straightforward single inheritance pathway and the use of interfaces to define contractual relations between code," Chris says. Java's approach to inheritance immediately stood out as cleaner and more maintainable. Features like array bounds checking and interfaces for defining contractual relationships between code further convinced him he was learning something that would age well. "I felt that I was learning something that would wear well over time. I wouldn't turn around and look at what I'd done 10 or 15 or 20 years later and say, yuck, what was I thinking?" After committing to Java and sticking with it through the learning process, he found it repaid his effort many times over. "I liked it and I stuck with it, and I found it paid me back enormously for my investment in learning." Career Path Through Mathematics Chris's path to technology came through math rather than traditional computer science. He actually stumbled into science during the registration process at school in the 1970s and eventually pursued math after deciding against engineering. His career took him through various mathematical applications, including consulting and data analysis positions in forestry. Java's Evolution: Streams and Beyond Regarding Java's evolution, Chris identified streams as the biggest feature improvement for his work. When asked about new features that have been useful in his applications, he immediately identifies streams as transformative. "I mean, streams was the big one. Streams just made a whole difference to the way you would handle data," he says. He contrasts the old approach of writing hundreds of lines of nested for loops with the more elegant stream-based approach: "And so streams has just made that a whole lot easier. And the code is so much more readable and maintainable than the old 500 line do loops that we used to have in Fortran that turned into the 375 line for loops in Java. Anyway, so streams is a big one, a really big one for me. The biggest, I would say." He also valued the introduction of templates (generics) in Java 5 or 6, which represented a significant evolution in the language and allowed applying libraries to custom classes. He praised the Java community for keeping the platform and ecosystem viable, noting that the combination of an active developer community and a satisfied user base creates a virtuous cycle that keeps the platform evolving and improving: "There's enough Java programmers out there, enough people interested in the continuing viability of Java that they keep it going, that they modernize it, that they solve new problems with it, that they make it perform better than it ever has before." He added a "big shout out to the garbage collection people that do that amazing stuff," acknowledging the often-invisible work that performance engineers at Oracle do to make Java faster and more efficient for developers. Throughout the discussion, Chris talked at length about developers, the user community, and the technology. He has a nice habit of mixing the issues seamlessly. Check out this gem below where he beautifully concluded that Java is far more than a language because it's really a movement. "The user community is, generally speaking, pretty satisfied with it. And it's a broad enough user community. It's got people like me. It's got people still doing desktop Java. It's got people using it on servers. And there's a whole tool ecosystem out there. Personally, I prefer working right at the command line. I always have. But the application that I mentioned we built using NetBeans, which came out of Sun originally. And it's quite a nice IDE. I don't think it's the most popular one. It doesn't really matter. It's still a very nice one. And it gave us a big part of that long-term support. And lately, I find myself using other JVM languages. So it's not just Java. It's the JVM that underpins it, that has permitted a flowering of alternative approaches to things that, generally speaking, work very well together with Java. So, it's a pretty cool thing. It's a movement. It's not just a programming language." Consulting, Professionalism, and Cultural Differences On consulting and professionalism, Chris stresses the importance of contributing to the team to best serve customers. He cautions against embracing some Silicon Valley software mantras — such as "fail early, fail often" — when applied outside their intended prototyping context. "And I know failure is a thing that people talk about in software development. Fail early, fail often. But you don't hear consultants saying fail often. It's not a good look for a consulting company," he says. Instead, Chris focuses on engineering being technically excellent and using open communications to help ensure the team's success. "In a consulting organization, you really have to be a team player," he says. He clarifies that getting prototypes out for feedback certainly has merit: "Get something out there and [letting] people throw rocks at it and [recording] what they say [that's] false and recognize that, okay, you failed, but at least you moved the ball down the field. I'm a huge fan of prototyping." Throughout the years in his career Chris also observed cultural differences in problem-solving approaches around the world. He says that some cultures prefer abstract discussion while others focus on concrete data. "Never mind all these grand theories. Let's actually look what we have. And really, you know, like don't go down that rabbit hole either. Look at what you have and base things on the reality that you know about," he advises. He warns against getting lost in theoretical discussions: "Resist the old, you know, the medieval concept of how many angels on the head of a pin kind of thing. Just don't go there." The Human Side of Technology Work Chris emphasizes that technology work remains fundamentally human. Near the end of the conversation, Chris focuses what he sees as most important: "I would just emphasize maybe that we're human beings here and we're driven by our human desires and wills. And as you rightly pointed out, cultural things roll into that," he says. Despite all the technical discussion about tools, languages, methods, and preferences, the work is ultimately done by human beings with human needs and motivations. Cultural factors, listening skills, and collaborative team approaches matter as much as technical competence. "Remember, you spend a long time of your life at your job. And so, it's important that that contributes to your humanity and that your humanity contributes back." He encourages developers to remember their humanity throughout their careers, to contribute meaningfully to their teams and communities, and to avoid becoming caricatures of the latest corporate culture. "It's really important to remember that you're part of a group of human beings here. You don't want to be a Dilbert comic," he says, using the comic strip as a reference point for the dehumanized corporate worker trapped in absurd bureaucracy. On the importance of listening, Chris shares wisdom from a sign he saw years ago: "If God had intended man to speak more than he listened, he would have given him two mouths and one ear. Listen more, say less." When discussing custom solutions versus off-the-shelf tools, and after discussing how being familiar with algorithms allows you to blend approaches for better solutions, Chris delivers what became the title of the episode: "Basically, you know, if there's not something off the shelf that —  Don't be afraid to create!" This is a message that Chris encourages all developers to embrace because they have such advanced skills right at their fingertips. Advice for Students: Learning Then and Now That creation framework extends to Chris's advice to students learning software development. Students today face different challenges than he did decades ago. Chris compared his learning experience years ago with his daughter's more recent computer science education. Modern students learn differently through sophisticated IDEs that suggest improvements and refactor code automatically, while Chris and his colleagues back in the day learned using only a command line, a text editor, and a compiler. "The difference is really striking between the two because the only tool we had was the command line, the text editor, and the compiler," he says. Modern IDEs provide capabilities like automatic refactoring and code suggestions that fundamentally change what students focus on during their education. He notes that learning with modern tools creates almost a different world than learning in his era: "And so it was really almost learning a different discipline for her than it was for me." He advises students to try multiple approaches to problem-solving and to explore all their options to apply their technical skills in many diverse fields. "And I think if there's a lesson to be taken from that, sometimes it might be fun once you've learned how to do something in the IDEs to try and do it the old way and see what it's like just creating from nothing, you know, and starting out that way. And vice versa, guys like me that always insist on using VI at the command line, we should learn an IDE. It's time." Finally, Chris reflects on the value of learning multiple approaches to solving problems. This goes beyond just technical skills to understanding the problem itself more deeply: "I think learning several different ways to solve a problem ultimately teaches you more about the problem. And learning more about the problem, I think, teaches you a bit about yourself and how you go about solving things and your value to your organization." During the entire conversation on technology, Chris consistently wove in the human element. We are people, after all. We're just using digital tools to create.  Duke's Corner Java Podcast  https://dukescorner.libsyn.com/site   Jim Grisanzio, Host, Duke's Corner  https://x.com/jimgris | https://grisanzio.com/duke/  

Topics covered in this episode: Deprecations via warnings docs PyAtlas: interactive map of the top 10,000 Python packages on PyPI. Buckaroo Extras Joke Watch on YouTube About the show Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Deprecations via warnings Deprecations via warnings don't work for Python libraries Seth Larson How to encourage developers to fix Python warnings for deprecated features Ines Panker Michael #2: docs A collaborative note taking, wiki and documentation platform that scales. Built with Django and React. Made for self hosting Docs is the result of a joint effort led by the French

For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery. Most developers took one look and backed away slowly. Trevor Manz decided that barrier did not need to exist. His idea was simple: give Python users just enough JavaScript to unlock the web's interactivity, without dragging along the rest of the web ecosystem. That idea became anywidget, and it is quickly becoming the quiet connective tissue of modern interactive computing. Today we dig into how it works, why it has taken off, and how it might change the way we explore data. Episode sponsors Seer: AI Debugging, Code TALKPYTHON PyCharm, code STRONGER PYTHON Talk Python Courses Links from the show Trevor on GitHub: github.com anywidget GitHub: github.com Trevor's SciPy 2024 Talk: www.youtube.com Marimo GitHub: github.com Myst (Markdown docs): mystmd.org Altair: altair-viz.github.io DuckDB: duckdb.org Mosaic: uwdata.github.io ipywidgets: ipywidgets.readthedocs.io Tension between Web and Data Sci Graphic: blobs.talkpython.fm Quak: github.com Walk through building a widget: anywidget.dev Widget Gallery: anywidget.dev Video: How do I anywidget?: www.youtube.com PyCharm + PSF Fundraiser: pycharm-psf-2025 code STRONGER PYTHON Watch this episode on YouTube: youtube.com Episode #530 deep-dive: talkpython.fm/530 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Íme pár újdonság, ami miatt érdemes kipróbálnod a Biznisz Boyz PRO-t még december 15. előtt: ⭐️ 2026 elejére már közzétettük az induló kurzusokat, és még nekem is elképesztően izgalmas a felhozatal: ▪️ AI kódolós eszközök használata programozói tudás nélkül;  ▪️ Román piacra lépés praktikái és tapasztalatai; ▪️ Short videó készítés;  ▪️ Social media best practices a gyakorlatban,  ▪️ Kockázati tőkés matek,  ▪️ Projektmenedzsment,  ▪️ AI-first cégvezetés... és ez még csak az a lista, amit most biztosan látok. Ezekről beszélek részletesen az adásban. ⭐️ A Tanuló Körök immár átlépnek teljesen Mastermind funkcióba és 5 téma köré szervezzük az összeset Így több idő jut mindenkinek az egyéni elakadásaira. A témák, amikben tartjuk a mastermindot minden hónapban: Ügyfélszerzés, AI + Automatizáció, Pénzügyek, Szervezetfejleszt és Vállalkozói önismeret. Pár elég fontos téma :) ⭐️ Idén már elindultak a rendszeres hanganyagok tőlem, amik könnyen, gyorsan fogyasztható üzleti tanácsok, felismerések. Ezeket azért fejlesztettem ki, hogy ne kelljen megvárni egy rendes Biznisz Boyz adást, egyből meg tudjam osztani Veletek a tanulságaimat. A legutóbbi két anyagban a kereskedelmi marketingről beszéltem. Ide beteszem őket ingyen, hogy lásd, mi ez a formátum: "Ne engedd még el az évet! Gondolkodj jó kereskedőként és maxold ki a decembert!" https://share.transistor.fm/e/433ae0a6 "Nagy márkák kereskedelmi marketing praktikái, amiket egy KKV és egy egyéni vállalkozó is kipróbálhat:" https://share.transistor.fm/e/818adc2c ⭐️ Megújult a BB PRO Könyvtár felülete, hogy könnyebb legyen tájékozódni. Ha rég jártál nálunk, nézz körül, ilyen lett a könyvtár főoldala: https://bbpro.hu/bb-pro-konyvtar/ Most 790 Ft-ért benézhetsz 7 napra, az éves csomaghoz pedig évindító konzultációt kapsz velem! December 15. 20:00-ig tudsz csatlakozni a nagy jövő évi áremelés előtt. » https://bbpro.hu

This week in our technical segment, you will learn how to build a MITM proxy device using Kali Linux, some custom scripts, and a Raspberry PI! In the security news: Hacking Smart BBQ Probes China uses us as a proxy LOLPROX and living off the Hypervisor Are we overreating to React4Shell? Prolific Spyware vendors EDR evaluations and tin foil hats Compiling to Bash! How e-waste became a conference badge Overflows via underflows and reporting to CERT Users are using AI to complete mandatory infosec training! AI in your IDE is not a good idea Cybercrime is on the rise, and its the kids AI can replace humans in power plants Will AI prompt injection ever go away? To use a VPN or to not use a VPN, that is the question Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-904

This week in our technical segment, you will learn how to build a MITM proxy device using Kali Linux, some custom scripts, and a Raspberry PI! In the security news: Hacking Smart BBQ Probes China uses us as a proxy LOLPROX and living off the Hypervisor Are we overreating to React4Shell? Prolific Spyware vendors EDR evaluations and tin foil hats Compiling to Bash! How e-waste became a conference badge Overflows via underflows and reporting to CERT Users are using AI to complete mandatory infosec training! AI in your IDE is not a good idea Cybercrime is on the rise, and its the kids AI can replace humans in power plants Will AI prompt injection ever go away? To use a VPN or to not use a VPN, that is the question Show Notes: https://securityweekly.com/psw-904

This week in our technical segment, you will learn how to build a MITM proxy device using Kali Linux, some custom scripts, and a Raspberry PI! In the security news: Hacking Smart BBQ Probes China uses us as a proxy LOLPROX and living off the Hypervisor Are we overreating to React4Shell? Prolific Spyware vendors EDR evaluations and tin foil hats Compiling to Bash! How e-waste became a conference badge Overflows via underflows and reporting to CERT Users are using AI to complete mandatory infosec training! AI in your IDE is not a good idea Cybercrime is on the rise, and its the kids AI can replace humans in power plants Will AI prompt injection ever go away? To use a VPN or to not use a VPN, that is the question Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-904

Topics covered in this episode: PEP 798: Unpacking in Comprehensions Pandas 3.0.0rc0 typos A couple testing topics Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: PEP 798: Unpacking in Comprehensions After careful deliberation, the Python Steering Council is pleased to accept PEP 798 – Unpacking in Comprehensions. Examples [*it for it in its] # list with the concatenation of iterables in 'its' {*it for it in its} # set with the union of iterables in 'its' {**d for d in dicts} # dict with the combination of dicts in 'dicts' (*it for it in its) # generator of the concatenation of iterables in 'its' Also: The Steering Council is happy to unanimously accept “PEP 810, Explicit lazy imports” Brian #2: Pandas 3.0.0rc0 Pandas 3.0.0 will be released soon, and we're on Release candidate 0 Here's What's new in Pands 3.0.0 Dedicated string data type by default Inferred by default for string data (instead of object dtype) The str dtype can only hold strings (or missing values), in contrast to object dtype. (setitem with non string fails) The missing value sentinel is always NaN (np.nan) and follows the same missing value semantics as the other default dtypes. Copy-on-Write The result of any indexing operation (subsetting a DataFrame or Series in any way, i.e. including accessing a DataFrame column as a Series) or any method returning a new DataFrame or Series, always behaves as if it were a copy in terms of user API. As a consequence, if you want to modify an object (DataFrame or Series), the only way to do this is to directly modify that object itself. pd.col syntax can now be used in DataFrame.assign() and DataFrame.loc() You can now do this: df.assign(c = pd.col('a') + pd.col('b')) New Deprecation Policy Plus more - Michael #3: typos You've heard about codespell … what about typos? VSCode extension and OpenVSX extension. From Sky Kasko: Like codespell, typos checks for known misspellings instead of only allowing words from a dictionary. But typos has some extra features I really appreciate, like finding spelling mistakes inside snake_case or camelCase words. For example, if you have the line: *connecton_string = "sqlite:///my.db"* codespell won't find the misspelling, but typos will. It gave me the output: *error: `connecton` should be `connection`, `connector` ╭▸ ./main.py:1:1 │1 │ connecton_string = "sqlite:///my.db" ╰╴━━━━━━━━━* But the main advantage for me is that typos has an LSP that supports editor integrations like a VS Code extension. As far as I can tell, codespell doesn't support editor integration. (Note that the popular Code Spell Checker VS Code extension is an unrelated project that uses a traditional dictionary approach.) For more on the differences between codespell and typos, here's a comparison table I found in the typos repo: https://github.com/crate-ci/typos/blob/master/docs/comparison.md By the way, though it's not mentioned in the installation instructions, typos is published on PyPI and can be installed with uv tool install typos, for example. That said, I don't bother installing it, I just use the VS Code extension and run it as a pre-commit hook. (By the way, I'm using prek instead of pre-commit now; thanks for the tip on episode #448!) It looks like typos also publishes a GitHub action, though I haven't used it. Brian #4: A couple testing topics slowlify suggested by Brian Skinn Simulate slow, overloaded, or resource-constrained machines to reproduce CI failures and hunt flaky tests. Requires Linux with cgroups v2 Why your mock breaks later Ned Badthelder Ned's taught us before to “Mock where the object is used, not where it's defined.” To be more explicit, but probably more confusing to mock-newbies, “don't mock things that get imported, mock the object in the file it got imported to.” See? That's probably worse. Anyway, read Ned's post. If my project myproduct has user.py that uses the system builtin open() and we want to patch it: DONT DO THIS: @patch("builtins.open") This patches open() for the whole system DO THIS: @patch("myproduct.user.open") This patches open() for just the user.py file, which is what we want Apparently this issue is common and is mucking up using coverage.py Extras Brian: The Rise and Rise of FastAPI - mini documentary “Building on Lean” chapter of LeanTDD is out The next chapter I'm working on is “Finding Waste in TDD” Notes to delete before end of show: I'm not on track for an end of year completion of the first pass, so pushing goal to 1/31/26 As requested by a reader, I'm releasing both the full-so-far versions and most-recent-chapter Michael: My Vanishing Gradient's episode is out Django 6 is out Joke: tabloid - A minimal programming language inspired by clickbait headlines

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David Kopec joins me to talk about rebuilding computer science for exactly those folks, the ones who learned to program first and are now ready to understand the deeper ideas that power the tools they use every day. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show David Kopec: davekopec.com Classic Computer Science Book: amazon.com Computer Science from Scratch Book: computersciencefromscratch.com Computer Science from Scratch at NoStartch (CSFS30 for 30% off): nostarch.com Watch this episode on YouTube: youtube.com Episode #529 deep-dive: talkpython.fm/529 Episode transcripts: talkpython.fm Theme Song: Developer Rap

We often look for ways to reduce the load on our brains, seeking shortcuts and optimizations to get ahead. Sometimes this works, reinforcing the belief that we can hack our way around every problem. However, this episode addresses the truth that many fundamental aspects of your career require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure.This episode details the difficult truths about facing the most essential challenges in your career:Understand the Hard Path: Recognize that many aspects of your career, skill set, relationships, and hobbies require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure.Identify Your Primary Obstacles: Pinpoint the hard things you are procrastinating on, such as developing essential domain knowledge, deepening relationships with crucial co-workers or your manager, or getting the necessary "reps" of difficult building and practice.The Path to Mastery: Realize that becoming a great engineer (e.g., a great Python developer) is achieved not by reading books or finding perfect tools, but by building things over and over. This practice includes receiving feedback from peers and applying what you learn under challenge.The Pain of Decision: Explore why it is difficult to even decide to do a hard thing. By committing to the challenging path, you are choosing to cut off your optionality and giving up the hope of finding an easier, lower-investment alternative.Sustaining Commitment: Understand that initial motivation or an energetic feeling will not carry you through the obstacle when the development process becomes awkward, slow, or frustrating. Staying committed requires reinforcing your core underlying reason for doing the hard work.The Reward: Recognize that if you successfully address the hard thing you know needs doing, everything else in your life and career becomes easier.

Nathan Sobo has spent nearly two decades pursuing one goal: building an IDE that combines the power of full-featured tools like JetBrains with the responsiveness of lightweight editors like Vim. After hitting the performance ceiling with web-based Atom, he founded Zed and rebuilt from scratch in Rust with GPU-accelerated rendering. Now with 170,000 active developers, Zed is positioned at the intersection of human and AI collaboration. Nathan discusses the Agent Client Protocol that makes Zed "Switzerland" for different AI coding agents, and his vision for fine-grained edit tracking that enables permanent, contextual conversations anchored directly to code—a collaborative layer that asynchronous git-based workflows can't provide. Nathan argues that despite terminal-based AI coding tools visual interfaces for code aren't going anywhere, and that source code is a language designed for humans to read, not just machines to execute. Hosted by Sonya Huang and Pat Grady, Sequoia Capital

Topics covered in this episode: Advent of Code starts today Django 6 is coming Advanced, Overlooked Python Typing codespell Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Advent of Code starts today A few changes, like 12 days this year, which honestly, I'm grateful for. See also: elf: Advent of Code CLI helper for Python Michael #2: Django 6 is coming Expected December 2025 Django 6.0 supports Python 3.12, 3.13, and 3.14 Built-in support for the Content Security Policy (CSP) standard is now available, making it easier to protect web applications against content injection attacks such as cross-site scripting (XSS). The Django Template Language now supports template partials, making it easier to encapsulate and reuse small named fragments within a template file. Django now includes a built-in Tasks framework for running code outside the HTTP request–response cycle. This enables offloading work, such as sending emails or processing data, to background workers. Email handling in Django now uses Python's modern email API, introduced in Python 3.6. This API, centered around the email.message.EmailMessage class Brian #3: Advanced, Overlooked Python Typing get_args, TypeGuard, TypeIs, and more goodies Michael #4: codespell Learned from this PR for the Talk Python book. Fix common misspellings in text files. It's designed primarily for checking misspelled words in source code (backslash escapes are skipped), but it can be used with other files as well. It does not check for word membership in a complete dictionary, but instead looks for a set of common misspellings. Therefore it should catch errors like "adn", but it will not catch "adnasdfasdf". It shouldn't generate false-positives when you use a niche term it doesn't know about. Extras Brian: Is mkdocs maintained? Hatch 1.16 Michael: Follow up on tach from Gerben Dekker: tach has been unmaintained for a bit but is not anymore. It was the main product from Gauge which is a Y combinator startup that pivoted to something unrelated and abandoned tach. However, https://github.com/DetachHead forked it but now got access to the main repo and has committed to maintaining it. ruff analyze graph is fully independent of tach - we actually started to look into alternatives for tach when it became unmaintained and then found ruff analyze graph. For our use case, with just a bit of manipulation on top of ruff analyze graph we replaced our use of deptry (which was slower - and I try to be careful depending on one-man projects). A Review of Michael Kennedy's book, “Talk Python in Production” - Thanks Doug Joke: NoaaS

On this episode I sit down with indie app builder and designer Chris ****Raroque to walk through his real AI coding workflow. Chris explains how he ships a portfolio of productivity apps doing thousands in MRR by pairing Claude Code and Cursor instead of picking just one tool. He live-demos “vibe coding” an iOS animation, then compares how Claude Code and Cursor's plan mode tackle the same task. The episode closes with concrete tips on plan mode, MCP servers, AI code review, dictation, and deep research so solo devs can build bigger apps than they could alone. Timestamps 00:00 – Intro 03:04 – Which Tools & Models to Use 09:16 – Thoughts on the Vibe Coding Mobile App Landscape 11:14 – Live demo: prompting Claude Code to build an iOS “AI searching” animation 18:07 – Live demo: prompting Cursor with same task 21:02 – Chris's Best Tips for Vibe Coders Key Points You don't have to pick one IDE copilot: Chris actively switches between Claude Code and Cursor because they have different strengths. For very complex bug-hunting, he prefers Cursor with plan mode; for big-picture app architecture, he leans on Claude Code with Opus. Non-developers should start on higher-level “vibe coding” platforms like Create Anything for mobile apps before graduating to Claude/Cursor. Plan mode plus detailed, spoken prompts dramatically improves code quality, especially for UI and animation work. MCP servers and AI code review bots let solo developers safely set up infra, enforce security, and catch bugs they'd otherwise miss. Claude's deep research is a powerful way to choose the right patterns and libraries before handing implementation back to Claude Code or Cursor. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com 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/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CHRIS ON SOCIAL Youtube: https://www.youtube.com/@raroque X/Twitter: https://x.com/raroque Instagram: https://www.instagram.com/chris.raroque/

In this episode, I'm talking with Vincent Warmerdam about treating LLMs as just another API in your Python app, with clear boundaries, small focused endpoints, and good monitoring. We'll dig into patterns for wrapping these calls, caching and inspecting responses, and deciding where an LLM API actually earns its keep in your architecture. Episode sponsors Seer: AI Debugging, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Vincent on X: @fishnets88 Vincent on Mastodon: @koaning LLM Building Blocks for Python Co-urse: training.talkpython.fm Top Talk Python Episodes of 2024: talkpython.fm LLM Usage - Datasette: llm.datasette.io DiskCache - Disk Backed Cache (Documentation): grantjenks.com smartfunc - Turn docstrings into LLM-functions: github.com Ollama: ollama.com LM Studio - Local AI: lmstudio.ai marimo - A Next-Generation Python Notebook: marimo.io Pydantic: pydantic.dev Instructor - Complex Schemas & Validation (Python): python.useinstructor.com Diving into PydanticAI with marimo: youtube.com Cline - AI Coding Agent: cline.bot OpenRouter - The Unified Interface For LLMs: openrouter.ai Leafcloud: leaf.cloud OpenAI looks for its "Google Chrome" moment with new Atlas web browser: arstechnica.com Watch this episode on YouTube: youtube.com Episode #528 deep-dive: talkpython.fm/528 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: PEP 814 – Add frozendict built-in type From Material for MkDocs to Zensical Tach Some Python Speedups in 3.15 and 3.16 Extras Joke About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #0: Black Friday is on at Talk Python What's on offer: An AI course mini bundle (22% off) 20% off our entire library via the Everything Bundle (what's that? ;) ) The new Talk Python in Production book (25% off) Brian: This is peer pressure in action 20% off The Complete pytest Course bundle (use code BLACKFRIDAY) through November or use save50 for 50% off, your choice. Python Testing with pytest, 2nd edition, eBook (50% off with code save50) also through November I would have picked 20%, but it's a PragProg wide thing Michael #1: PEP 814 – Add frozendict built-in type by Victor Stinner & Donghee Na A new public immutable type frozendict is added to the builtins module. We expect frozendict to be safe by design, as it prevents any unintended modifications. This addition benefits not only CPython's standard library, but also third-party maintainers who can take advantage of a reliable, immutable dictionary type. To add to existing frozen types in Python. Brian #2: From Material for MkDocs to Zensical Suggested by John Hagen A lot of people, me included, use Material for MkDocs as our MkDocs theme for both personal and professional projects, and in-house docs. This plugin for MkDocs is now in maintenance mode The development team is switching to working on Zensical, a static site generator to overcome some technical limitations with MkDocs. There's a series of posts about the transition and reasoning Transforming Material for MkDocs Zensical – A modern static site generator built by the creators of Material for MkDocs Material for MkDocs Insiders – Now free for everyone Goodbye, GitHub Discussions Material for MkDocs still around, but in maintenance mode all insider features now available to everyone Zensical is / will be compatible with Material for Mkdocs, can natively read mkdocs.yml, to assist with the transition Open Source, MIT license funded by an offering for professional users: Zensical Spark Michael #3: Tach Keep the streak: pip deps with uv + tach From Gerben Decker We needed some more control over linting our dependency structure, both internal and external. We use tach (which you covered before IIRC), but also some home built linting rules for our specific structure. These are extremely easy to build using an underused feature of ruff: "uv run ruff analyze graph --python python_exe_path .". Example from an app I'm working on (shhhhh not yet announced!) Brian #4: Some Python Speedups in 3.15 and 3.16 A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16 5% faster by 3.15 and 10% faster by 3.16 Decompression is up to 30% faster in CPython 3.15 Extras Brian: LeanTDD book issue tracker Michael: No. 4 for dependencies: Inverted dep trees from Bob Belderbos Joke: git pull inception

This episode covers: • Nano CBD Pain Relief Without Cognitive Side Effects A new nano-micelle formulation of CBD called CBD-IN delivers fast, non-addictive pain relief in mice without memory issues, motor impairment or the usual cannabinoid “fog.” Because it crosses the blood brain barrier and directly targets hyperactive pain circuits, it sidesteps many opioid-type drawbacks. Dave explains why precision-designed cannabinoids could reshape chronic pain treatment and longevity support. Source: https://www.sciencedaily.com/releases/2025/11/251117095652.htm • Moderate Calorie Restriction Slows Biological Aging A long-term trial from the National Institute on Aging found that cutting calories by about 12% over two years slowed the pace of aging — measured by methylation clocks and metabolic markers — in lean and mildly overweight adults alike. Dave breaks down why small, manageable dietary tweaks can deliver big longevity gains, without crash dieting or extreme fasting. Source: https://www.nia.nih.gov/news/cutting-calories-may-slow-pace-aging-healthy-adults • FDA Approves AI-Guided Robotic Surgery Trials for Alzheimer's The U.S. Food and Drug Administration (FDA) has granted IDE approval for the first robotic microsurgical study targeting early stage Alzheimer's disease using AI and deep imaging. The trial uses adaptive robotics to target deep brain lymphatic pathways, potentially clearing amyloid/tau deposits with surgical precision. Dave explains why this signals a new era in neurodegeneration – moving from drug-only to machine-assisted brain repair. Source: https://www.mmimicro.com/ide-approval-for-first-robotic-microsurgery-alzheimers-study/ • Antibiotic Reprograms Gut Bacteria to Produce Anti-Aging Molecules Researchers demonstrated that the veterinary antibiotic cephaloridine can reprogram gut microbes to secrete colanic acid — a molecule linked to better mitochondrial health, reduced gut permeability and improved cholesterol/insulin balance in mice. Dave explores how this could evolve into a pipeline of engineered probiotics that act as internal “longevity factories.” Source: https://newatlas.com/aging/antibiotic-longevity-microbiome/ (link remains unchanged) • Klotho: The Longevity Protein Nears Clinical Reality The longevity protein Klotho, known for clearing toxic by-products, calming inflammation and protecting brain/organ networks, is now advancing toward human trials via injectables, oral formats and gene therapy. Dave explains why Klotho is shaping up as a foundational target for next-gen age-reversal strategies and stacking protocols. Source: https://investingnews.com/longevity-focused-health-fueling-u-s-anti-aging-products-market-projected-to-reach-27-billion-by-2033/ (link remains unchanged) All source links provided for easy reference to the original reporting and research above. This episode is essential listening for fans of biohacking, human performance, functional medicine and longevity who want practical tools from Host ­Dave Asprey and the latest breakthroughs shaping the future of health. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade gives you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights in health, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence and conscious living. New episodes are released every Tuesday, Thursday, Friday (audio only) and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: nano CBD, CBD-IN, pain relief research, non opioid pain therapies, chronic pain and aging, caloric restriction aging, methylation clocks, metabolic resilience, AI robotics, Alzheimer's microsurgery, neurotech advancement, microbiome engineering, colanic acid, longevity probiotics, mitochondrial support, Klotho protein, anti aging gene therapy, cellular rejuvenation, longevity news, biohacking updates Thank you to our sponsors! LYMA | Go to https://lyma.sjv.io/gOQ545 and use code DAVE10 for 10% off the LYMA Laser. Vibrant Blue Oils | Grab a full-size bottle for over 50% off at https://vibrantblueoils.com/dave. Resources: • Subscribe to my weekly newsletter: https://substack.daveasprey.com/welcome • Danger Coffee: https://dangercoffee.com/discount/dave15 • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Upgrade Collective: https://www.ourupgradecollective.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen: https://40yearsofzen.com Timestamps: 0:00 — Intro 0:19 — Story 1: Nano CBD for Pain Relief 1:53 — Story 2: Caloric Restriction and Aging 3:20 — Story 3: AI Robotic Surgery for Alzheimer's 4:50 — Story 4: Microbiome Reprogramming 6:05 — Substack Announcement 7:04 — Story 5: Klotho Longevity Protein 8:39 — Weekly Homework 9:31 — Outro See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

Gemini 3 is officially here. ✨ ✨ ✨For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0. So, what's new in Gemini 3? And whether you're a developer or casual user, what does Google's new model unlock? Join us as we chat with Google's Logan Kilpatrick's for all the answers. Gemini 3: What's new and what it unlocks for your business with -- An Everyday AI Chat with Google DeepMind's Logan Kilpatrick and Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Gemini 3 Release Overview & FeaturesState-of-the-Art AI Benchmarks ExceededGemini 3 in Google Ecosystem ProductsGemini 3 Vibe Coding Capabilities DemoNon-Developer Use Cases for Gemini 3Multimodal Understanding and VisualizationsAgentic AI Tools: Gemini Agent & Anti GravityBusiness Growth with Gemini 3 AI IntegrationTimestamps:00:00 Gemini 3: State-of-the-Art AI05:59 "Gemini 3: Build Ambitiously"08:16 "AI Studio: Bringing Ideas Alive"12:44 Gemini App Agents & Anti-Gravity14:57 "Enhancing AI as a Thought Partner"17:01 AI Studio: Build Apps FasterKeywords:Gemini 3, Gemini 3 Pro, Google AI, AI Studio, Vibe Coding, multimodal model, agentic coding, tool calling, anti gravity, generative interfaces, Gemini app, APIs, AI capabilities, interactive experience, visual dashboard, bespoke visualization, state-of-the-art model, developer platform, agentic developer tools, benchmark results, code editor, IDE integration, product experiences, infrastructure teams, triage inbox, personal assistant, proactive agents, 2.5 Pro, model capability, product feedback, code generation, gallery applets, build mode, ambition in AI, software engineering, feature enhancement, thought partner, AI-powered building, on demand experience, interactive visualizations, coding advancements, user engagement, real-time rollout.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app.  Head to AI.studio/build to create your first app. 

Topics covered in this episode: Possibility of a new website for Django aiosqlitepool deptry browsr Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Possibility of a new website for Django Current Django site: djangoproject.com Adam Hill's in progress redesign idea: django-homepage.adamghill.com Commentary in the Want to work on a homepage site redesign? discussion Michael #2: aiosqlitepool

Today we're digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what's solid versus what's just shiny. We'll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you'll have a clear mental model and a path to plug Python into the internet of agents. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Den Delimarsky: den.dev Agentic AI Programming for Python Course: training.talkpython.fm Model Context Protocol: modelcontextprotocol.io Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io MCP Python Package (PyPI): pypi.org Awesome MCP Servers (punkpeye) GitHub Repo: github.com Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com GitHub MCP Server (GitHub repo): github.com GitHub Blog: Meet the GitHub MCP Registry: github.blog MultiViewer App: multiviewer.app GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog Model Context Protocol Registry (GitHub): github.com mcp (GitHub organization): github.com Tailscale: tailscale.com Watch this episode on YouTube: youtube.com Episode #527 deep-dive: talkpython.fm/527 Episode transcripts: talkpython.fm Theme Song: Developer Rap