The Stack Overflow Podcast - Svelte was built on “slinging code for the sheer love of it”

Rich Harris, creator of Svelte and software engineer at Vercel, joins Ryan on the show to dive into the evolution and future of web frameworks. They discuss the birth and growth of Svelte during the rise of mobile, the challenges of building robust and efficient web applications, how companies can back more open-source community projects, and the dirty little secret about asynchronous operations and component frameworks. 

Episode notes:

Svelte is a UI framework that uses a compiler to let you write components using HTML, CSS and JavaScript. It’s ranked as one of developer’s most admired web frameworks in this year’s Developer Survey

Keep up with the Svelte community on the Svelte Society page

Find Rich on Blue Sky and GitHub.

Congrats to Paul Pladijs, who won a Populist badge for answering the question How can one change the timestamp of an old commit in Git?.

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Python Bytes - #446 State of Python 2025

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Brian #1: pypistats.org was down, is now back, and there’s a CLI

  • pypistats.org is a cool site to check the download stats for Python packages.

  • It was down for a while, like 3 weeks?

  • A couple days ago, Hugo van Kemenade announced that it was back up.

  • With some changes in stewardship

    • pypistats.org is back online! 🚀📈

      Thanks to @jezdez for suggesting the @ThePSF takes stewardship and connecting the right people, to @EWDurbin for migrating, and of course to Christopher Flynn for creating and running it for all these years!”

  • Hugo has a CLI version, pypistats

    • You can give it a command for what you want to search for
      • recent,overall, python_major, python_minor, system
    • Then either a package name, a directory path, or if nothing, it will grab the current directory package via pyproject.toml or setup.cfg
    • very cool

Michael #2: State of Python 2025

  • Michael’s Themes
    • Python people use Python: 86% of respondents use Python as their main language
    • We are mostly brand-new programmers: Exactly 50% of respondents have less than two years of professional coding experience
    • Data science is now over half of all Python
    • Most still use older Python versions despite benefits of newer releases: Compelling math to make the change.
    • Python web devs resurgence
  • Forward-looking trends
    • Agentic AI will be wild
    • Async, await, and threading are becoming core to Python
    • Python GUIs and mobile are rising
  • Actionable ideas
    • Action 1: Learn uv
    • Action 2: Use the latest Python
    • Action 3: Learn agentic AI
    • Action 4: Learn to read basic Rust
    • Action 5: Invest in understanding threading
    • Action 6: Remember the newbies

Brian #3: wrapt: A Python module for decorators, wrappers and monkey patching.

  • “The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions.

    An easy to use decorator factory is provided to make it simple to create your own decorators that will behave correctly in any situation they may be used.”

  • Why not just use functools.wraps()?

    • “The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour.”
  • There’s a bunch of blog posts from 2014 / 2015 (and kept updated) that talk about how wrapt solves many issues with traditional ways to decorate and patch things in Python, including “How you implemented your Python decorator is wrong”.

  • Docs are pretty good, with everything from simple wrappers to an example of building a wrapper to handle thread synchronization

Michael #4: pysentry

  • via Owen Lamont

  • Install via uv tool install pysentry-rs

  • Scan your Python dependencies for known security vulnerabilities with Rust-powered scanner.

  • PySentry audits Python projects for known security vulnerabilities by analyzing dependency files (uv.lock, poetry.lock, Pipfile.lock, pyproject.toml, Pipfile, requirements.txt) and cross-referencing them against multiple vulnerability databases. It provides comprehensive reporting with support for various output formats and filtering options.

  • Key Features:

    • Multiple Project Formats: Supports uv.lock, poetry.lock, Pipfile.lock, pyproject.toml, Pipfile, and requirements.txt files

    • External Resolver Integration: Leverages uv and pip-tools for accurate requirements.txt constraint solving

    • Multiple Data Sources:

      • PyPA Advisory Database (default)
      • PyPI JSON API
      • OSV.dev (Open Source Vulnerabilities)
    • Flexible Output for different workflows: Human-readable, JSON, SARIF, and Markdown formats

    • Performance Focused:

      • Written in Rust for speed
      • Async/concurrent processing
      • Multi-tier intelligent caching (vulnerability data + resolved dependencies)
    • Comprehensive Filtering:

      • Severity levels (low, medium, high, critical)
      • Dependency scopes (main only vs all [optional, dev, prod, etc] dependencies)
      • Direct vs. transitive dependencies
    • Enterprise Ready: SARIF output for IDE/CI integration

    • I tried it on pythonbytes.fm and found only one issue, sadly can’t be fixed:

      PYSENTRY SECURITY AUDIT
      =======================
      
      SUMMARY: 89 packages scanned • 1 vulnerable • 1 vulnerabilities found
      
      SEVERITY:  1 LOW
      
      UNFIXABLE: 1 vulnerabilities cannot be fixed
      
      VULNERABILITIES
      ---------------
      
      1. PYSEC-2022-43059  aiohttp v3.12.15  [LOW] [source: pypa-zip]
                  AIOHTTP 3.8.1 can report a "ValueError: Invalid IPv6 URL" outcome, which can lead to a Denial of Service (DoS). NOTE:...
      
      Scan completed
      

Extras

Michael:

Joke: Marked for destruction

Lex Fridman Podcast - #478 – Scott Horton: The Case Against War and the Military Industrial Complex

Scott Horton is the director of the Libertarian Institute, editorial director of Antiwar.com, host of The Scott Horton Show, co-host of Provoked, and for the past three decades a staunch critic of U.S. military interventionism.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep478-sc
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(09:14) – From the Cold War to the War on Terror
(1:02:13) – Iraq War 1
(1:30:17) – Bin Laden
(2:29:39) – Afghanistan War
(2:44:35) – Iraq War 2
(3:10:59) – Military Industrial Complex
(3:50:25) – Scott’s life story
(4:20:15) – Iraq War 2 (continued)
(5:11:43) – Syria
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(6:22:56) – Iran
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(9:02:19) – Cold War 2.0

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Big Technology Podcast - The Big GPT-5 Debate, Sam Altman’s AI Bubble, OnlyFans Chatbots

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Did AI take a step back with GPT-5? 2) Is AI hype going to cool off? 3) GPT-5's switching problem 4) Do we need AI agents? 5) Thinking Vs. Doing AI 6) Sam Altman says parts of AI are a bubble 7) Eric Schmidt says the U.S. should stop overindexing on AGI and instead build it into products 8) GPT-6 is going to have much better memory 9) MIT study says 95% of AI projects fail to achieve their goals 10) AI may replace OnlyFans outsourced 'chatters' 11) Is love AI's real use case?

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Talk Python To Me - #517: Agentic Al Programming with Python

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You’ll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code.

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The Stack Overflow Podcast - Learning in the flow: Unlocking employee potential through continuous learning

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar and Christina Dacauaziliqua, Senior Learning Specialist at Morgan Stanley, talk about the importance of experiential learning in fast-paced environments. They emphasize the value of creating intentional learning environments where innovative tools meet collaborative communities to support growth for both individuals and organizations. 

The discussion also:

  • Explores why leaders need to model continuous learning to inspire their teams.
  • Explains three practical principles to embed a culture of ongoing learning into everyday operations successfully.
  • Touches on Morgan Stanley's multi-year strategic initiatives centred on talent excellence and how they empower employees through an intentional learning framework and metric tracking. 

Notes:

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The Stack Overflow Podcast - Robots in the skies (and they use Transformer models)

Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically. They cover how the Hivemind technology works in coordinating the autonomous decisions of drones in the field while keeping humans in the loop, whether Shield AI is building Terminators, and how software security works on an edge device that could fall into enemy hands. 

Episode notes:

Shield AI produces Hivemind, a resilient autonomy platform intended to protect service members and civilians.

Congrats to Great Answer badge winner tmdavison for dropping a 100 point plus answer on Set max value for color bar on seaborn heatmap.



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Code Story: Insights from Startup Tech Leaders - S11 Bonus: Goutham (Gou) Rao, Neubird

Goutham Rao grew up in Brooklyn, a nerd all his life. Back in the day, his Dad bought him a Commodore 64, from which he started to learn to write code in BASIC. Eventually, he attended the University of Pennsylvania to get his Masters in Computer Science. Outside of tech, he is married with 2 kids. He likes to travel, and likes to run. He used to compete in half marathons, but nowadays, he does his running as more of a mental exercise.

Goutham saw that IT telemetry logs have a lot of complexity within their data. Fast forward to today, he and his co-founders noticed the way that LLMs were processing data. They thought they could build something to interpret this data, and "clone" themselves to create something that mimics issue triage.

This is the creation story of Neubird.

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Big Technology Podcast - Inside Google’s Generative AI Reinvention — With Nick Fox and Liz Reid

Nick Fox is the SVP of Knowledge and Information at Google. Liz Reid is the VP of Search at Google. The two join Big Technology Podcast to discuss the way Google plans and builds in the generative AI era, including how it chooses what to ship and when. We also cover publisher traffic, search monetization and ads, shopping and product research, and the near-term future of the web. Hit play for a clear, no-fluff conversation with the leaders building search’s next chapter.

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Code Story: Insights from Startup Tech Leaders - S11 E13: Matt Hamann, Rownd

Matt Hamann knew he was going to be in tech way back in his younger days. His Dad worked for IBM, so there were always fun things to talk about and play with. He got his first family computer when he was 4 years old, and started programming BASIC when he was 8. Eventually, they got dialup through AOL - and he took off building websites with PHP & MySQL. Outside of tech, he is married with 3 kids. He loves to travel and spend time with his family. He also plays several instruments, including the piano and pipe organ, and enjoys tinkering with smart home devices.

Right around the time of the pandemic, Matt and his co-founder were pitching a new company idea in Y Combinator, around data privacy. After receiving the feedback that there wasn't a big market for the original idea, they started to jam on ideas on how to pivot - and quickly landed on how cool it would be to have password-less authentication.

This is the creation story of Rownd.

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