Episodios

  • #472 Monorepos
    Mar 9 2026
    Topics covered in this episode: Setting up a Python monorepo with uv workspacescattrs: Flexible Object Serialization and ValidationLearning to program in the AI ageVS Code extension for FastAPI and friendsExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hostsMichael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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: Setting up a Python monorepo with uv workspaces Dennis TraubThe 3 things Give the Root a Distinct NameUse workspace = true for Inter-Package DepsUse importlib Mode for pytest Michael #2: cattrs: Flexible Object Serialization and Validation cattrs is a Swiss Army knife for (un)structuring and validating data in Python.A natural alternative/follow on from DataClass WizardConverts to ←→ from dictionariescattrs also focuses on functional composition and not coupling your data model to its serialization and validation rules.When you’re handed unstructured data (by your network, file system, database, …), cattrs helps to convert this data into trustworthy structured data.Batteries Included: cattrs comes with pre-configured converters for a number of serialization libraries, including JSON (standard library, orjson, UltraJSON), msgpack, cbor2, bson, PyYAML, tomlkit and msgspec (supports only JSON at this time). Brian #3: Learning to program in the AI age Jose Blanca“I teach a couple of introductory Python courses and I've been thinking about which advice to give to my students, that are studying how to program for the first time. I have collected my ideas in these blog posts” Why learning to program is as useful as ever, even with powerful AI tools available.How to use AI as a tutor rather than a shortcut, and why practice remains the key to real understanding.What the real learning objectives are: mental models, managing complexity, and thinking like a software developer. Michael #4: VS Code extension for FastAPI and friends Enhances the FastAPI development experience in Visual Studio CodePath Operation Explorer: Provides a hierarchical tree view of all FastAPI routes in your application.Search for routes: Use the Command Palette and quickly search for routes by path, method, or name.CodeLens links appear above HTTP client calls like client.get('/items'), letting you jump directly to the matching route definition.Deploy your application directly to FastAPI Cloud from the status bar with zero config.View real-time logs from your FastAPI Cloud deployed applications directly within VS Code.Install from Marketplace. Extras Brian: Guido van Rossum interviews key Python developers from the first 25 years Interview with Brett CannonInterview with Thomas Wouters Michael:IntelliJ IDEA: The Documentary | An origin story videoCursor Joined the ACP Registry and Is Now Live in Your JetBrains IDEWhat hyper-personal software looks likeI’m doing in-person training again (limited scope): On-site, hands-on AI engineering enablement for software teams with Michael Joke: Saas is dead
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    29 m
  • #471 The ORM pattern of 2026?
    Mar 2 2026
    Topics covered in this episode: Raw+DC: The ORM pattern of 2026?pytest-check releasesDataclass WizardSQLiteo - “native macOS SQLite browser built for normal people”ExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hostsMichael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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: Raw+DC: The ORM pattern of 2026? ORMs/ODMs provide great support and abstractions for developersThey are not the native language of agentic AIRaw queries are trained 100x+ more than standard ORMsUsing raw queries at the data access optimizes for AI codingReturning some sort of object mapped to the data optimizes for type safety and devs Brian #2: pytest-check releases 3 merged pull requests8 closed issuesat one point got to 0 PR’s and 1 enhancement requestNow back to 2 issues and 1 PR, but activity means it’s still alive and being used. so coolCheck out changelog for all modsA lot of changes around supporting mypy I’ve decided to NOT have the examples be fully --strict as I find it reduces readability See tox.ini for explanationBut src is --strict clean now, so user tests can be --strict clean. Michael #3: Dataclass Wizard Simple, elegant wizarding tools for Python’s dataclasses.Features 🚀 Fast — code-generated loaders and dumpers🪶 Lightweight — pure Python, minimal dependencies🧠 Typed — powered by Python type hints🧙 Flexible — JSON, YAML, TOML, and environment variables🧪 Reliable — battle-tested with extensive test coverageNo Inheritance Needed Brian #4: SQLiteo - “native macOS SQLite browser built for normal people” Adam HillThis is a fun tool, built by someone I trust.That trust part is something I’m thinking about a lot in these days of dev+agent built toolsSome notes on my thoughts when evaluating I know mac rules around installing .dmg files not from the apple store are picky. And I like thatBut I’m ok with the override when something comes from a dev I trustThe contributors are all Adam I’m still not sure how I feel about letting agents do commits in reposThere’s “AGENTS” folder and markdown files in the project for agents, so Ad Extras Michael: PyTV Python Unplugged This WeekIBM Crashes 11% in 4 Hours - $24 Billion Wiped Out After Anthropic's Claude Code Threatens the Entire COBOL Consulting IndustryLoving my 40” ultrawide monitor more every dayUpdatest for updating all the mac thingsIce has Thawed out (mac menubar app) Joke: House is read-only!
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    39 m
  • #470 A Jolting Episode
    Feb 23 2026
    Topics covered in this episode: Better Python tests with inline-snapshotjolt Battery intelligence for your laptopMarkdown code formatting with ruffact - run your GitHub actions locallyExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hostsMichael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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 Python tests with inline-snapshot Alex Hall, on Pydantic blogGreat for testing complex data structuresAllows you to write a test like this: from inline_snapshot import snapshot def test_user_creation(): user = create_user(id=123, name="test_user") assert user.dict() == snapshot({}) Then run pytest --inline-snapshot=fixAnd the library updates the test source code to look like this: def test_user_creation(): user = create_user(id=123, name="test_user") assert user.dict() == snapshot({ "id": 123, "name": "test_user", "status": "active" }) Now, when you run the code without “fix” the collected data is used for comparisonAwesome to be able to visually inspect the test data right there in the test code.Projects mentioned inline-snapshotpytest-examplessyrupydirty-equalsexecuting Michael #2: jolt Battery intelligence for your laptop Support for both macOS and LinuxBattery Status — Charge percentage, time remaining, health, and cycle countPower Monitoring — System power draw with CPU/GPU breakdownProcess Tracking — Processes sorted by energy impact with color-coded severityHistorical Graphs — Track battery and power trends over timeThemes — 10+ built-in themes with dark/light auto-detectionBackground Daemon — Collect historical data even when the TUI isn't runningProcess Management — Kill energy-hungry processes directly Brian #3: Markdown code formatting with ruff Suggested by Matthias Schoettleruff can now format code within markdown filesWill format valid Python code in code blocks marked with python, py, python3 or py3.Also recognizes pyi as Python type stub files.Includes the ability to turn off formatting with comment [HTML_REMOVED] , [HTML_REMOVED] blocks.Requires preview mode [tool.ruff.lint] preview = true Michael #4: act - run your GitHub actions locally Run your GitHub Actions locally! Why would you want to do this? Two reasons: Fast Feedback - Rather than having to commit/push every time you want to test out the changes you are making to your .github/workflows/ files (or for any changes to embedded GitHub actions), you can use act to run the actions locally. The environment variables and filesystem are all configured to match what GitHub provides.Local Task Runner - I love make. However, I also hate repeating myself. With act, you can use the GitHub Actions defined in your .github/workflows/ to replace your Makefile!When you run act it reads in your GitHub Actions from .github/workflows/ and determines the set of actions that need to be run. Uses the Docker API to either pull or build the necessary images, as defined in your workflow files and finally determines the execution path based on the dependencies that were defined.Once it has the execution path, it then uses the Docker API to run containers for each action based on the images prepared earlier.The environment variables and filesystem are all configured to match what GitHub provides. Extras Michael: Winter is coming: Frozendict acceptedDjango ORM stand-aloneCommand Book app announcement post Joke: Plug ‘n Paste
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    25 m
  • #469 Commands, out of the terminal
    Feb 9 2026
    Topics covered in this episode: Command Book Appuvx.sh: Install Python tools without uv or PythonEnding 15 years of subprocess pollingmonty: A minimal, secure Python interpreter written in Rust for use by AIExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hostsMichael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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: Command Book App New app from MichaelCommand Book App is a native macOS app for developers, data scientists, AI enthusiasts and more.This is a tool I've been using lately to help build Talk Python, Python Bytes, Talk Python Training, and many more applications.It's a bit like advanced terminal commands or complex shell aliases, but hosted outside of your terminal. This leaves the terminal there for interactive commands, exploration, short actions.Command Book manages commands like "tail this log while I'm developing the app", "Run the dev web server with true auto-reload", and even "Run MongoDB in Docker with exactly the settings I need"I'd love it if you gave it a look, shared it with your team, and send me feedback.Has a free version and paid version.Build with Swift and Swift UICheck it out at https://commandbookapp.com Brian #2: uvx.sh: Install Python tools without uv or Python Tim Hopper Michael #3: Ending 15 years of subprocess polling by Giampaolo RodolaThe standard library's subprocess module has relied on a busy-loop polling approach since the timeout parameter was added to Popen.wait() in Python 3.3, around 15 years agoThe problem with busy-polling CPU wake-ups: even with exponential backoff (starting at 0.1ms, capping at 40ms), the system constantly wakes up to check process status, wasting CPU cycles and draining batteries.Latency: there's always a gap between when a process actually terminates and when you detect it.Scalability: monitoring many processes simultaneously magnifies all of the above.+ L1/L2 CPU cache invalidationsIt’s interesting to note that waiting via poll() (or kqueue()) puts the process into the exact same sleeping state as a plain time.sleep() call. From the kernel's perspective, both are interruptible sleeps.Here is the merged PR for this change. Brian #4: monty: A minimal, secure Python interpreter written in Rust for use by AI Samuel Colvin and others at PydanticStill experimental“Monty avoids the cost, latency, complexity and general faff of using a full container based sandbox for running LLM generated code. ““Instead, it lets you safely run Python code written by an LLM embedded in your agent, with startup times measured in single digit microseconds not hundreds of milliseconds.” Extras Brian: Expertise is the art of ignoring - Kevin Renskers You don’t need to master the language. You need to master your slice.Learning everything up front is wasted effort.Experience changes what you pay attention to.I hate fish - Rands (Michael Lopp) Really about productivity systemsAnd a nice process for dealing with email Michael: Talk Python now has a CLINew essay: It's not vibe coding - Agentic engineeringGitHub is having a dayPython 3.14.3 and 3.13.12 are availableWall Street just lost $285 billion because of 13 markdown files Joke: Silence, current side project!
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    34 m
  • #468 A bolt of Django
    Feb 3 2026
    Topics covered in this episode: django-bolt: Faster than FastAPI, but with Django ORM, Django Admin, and Django packagespyleakMore Django (three articles)DatastarExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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 RazaHigh-Performance Fully Typed API Framework for DjangoInspired by DRF, FastAPI, Litestar, and RobynDjango-Bolt docsInterview with Farhan on Django Chat PodcastAnd 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 managersdecoratorsChecks for Unawaited asyncio tasksThreadsBlocking of an asyncio loopIncludes a pytest plugin so you can do @pytest.mark.no_leaks Brian #3: More Django (three articles) Migrating From Celery to Django Tasks Paul TaylorNice intro of how easy it is to get started with Django TasksSome notes on starting to use Django Julia EvansA handful of reasons why Django is a great choice for a web framework less magic than Railsa built-in adminnice ORMautomatic migrationsnice docsyou can use sqlite in productionbuilt in emailThe 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 LanierLots of work by Chris MayOut on Talk Python soon.Official Datastar Python SDKDatastar is a little like HTMX, but The single source of truth is your serverEvents 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 interviewPEP 686 – Make UTF-8 mode default Now with status “Final” and slated for Python 3.15 Michael: Prayson Daniel’s Paper trackerIce Cubes (open source Mastodon client for macOS)Rumdl for PyCharm, et. alcURL Gets Rid of Its Bug Bounty Program Over AI Slop OverrunPython Developers Survey 2026 Joke: Pushed to prod
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    31 m
  • #467 Toads in my AI
    Jan 26 2026
    Topics covered in this episode: GreyNoise IP Checktprof: a targeting profilerTOAD is outExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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 JohnsonIntro blog post: Python: introducing tprof, a targeting profiler Michael #3: TOAD is out Toad is a unified experience for AI in the terminalFront-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 PRsDocs section: Development - Contributing : Automated Code and AIGreat 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 PRsHuman Effort Denial of ServiceUse Tools Wisely Extras Brian: Apparently Digg is back and there’s a Python Community thereWhy 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 BlogBlocking AI crawlers might be a bad idea on Michael’s BlogAlready 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/pythonI think it’s speeding startup by about 1s / container.Biggest prompt yet? 72 pages, 11, 000 Joke: A date via From Pat Decker
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    32 m
  • #466 PSF Lands $1.5 million
    Jan 19 2026
    Topics covered in this episode: Better Django management commands with django-click and django-typerPSF Lands a $1.5 million sponsorship from AnthropicHow uv got so fastPyView Web FrameworkExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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 HenschelExtend Django manage.py commands for your own project, for things like data operationsAPI integrationscomplex data transformationsdevelopment and debuggingExtending 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 analysisThe investment will sustain programs like the Developer in Residence initiative, community grants, and infrastructure like PyPI. Brian #3: How uv got so fast Andrew NesbittIt’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 possibleAnd 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 PythonRecently interviewed Larry on Talk PythonBuild dynamic, real-time web applications using server-rendered HTMLCheck out the examples. See the Maps demo for some real magicHow 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 2026Python 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.pngExample two: which-episodes-mcp.webpImplmented /llms.txt for Talk Python To Me (see talkpython.fm/llms.txt ) Joke: Reverse Superman
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    41 m
  • #465 Stack Overflow is Cooked
    Jan 12 2026
    Topics covered in this episode: port-killerHow we made Python's packaging library 3x fasterCodSpeedExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @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: 🔍 Auto-discovers all listening TCP ports⚡ One-click process termination (graceful + force kill)🔄 Auto-refresh with configurable interval🔎 Search and filter by port number or process name⭐ Favorites for quick access to important ports👁️ Watched ports with notifications📂 Smart categorization (Web Server, Database, Development, System) Brian #2: How we made Python's packaging library 3x faster Henry SchreinerSome very cool graphs demonstrating some benchmark data.And then details about how various speedups each being 2-37% fasterthe total adding up to about 3x speedup, or shaving 2/3 of the time.These also include nice write-ups about why the speedups were chosen.If you are trying to speed up part of your system, this would be good article to check out. Michael #3: AI’s Impact on dev companies On TailwindCSS: via Simon Tailwind is growing faster than ever and is bigger than it has ever beenIts revenue is down close to 80%.75% of the people on our engineering team lost their jobs here yesterday because of the brutal impact AI has had on our business.“We had 6 months left”Listen to the founder: “A Morning Walk”Super insightful video: Tailwind is in DEEP troubleOn Stack Overflow: See video. SO was founded around 2009, first month had 3,749 questionsDecember, SO had 3,862 questions askedMost of its live it had 200,000 questions per monthThat is a 53x drop! Brian #4: CodSpeed “CodSpeed integrates into dev and CI workflows to measure performance, detect regressions, and enable actionable optimizations.”Noticed it while looking through the GitHub workflows for FastAPIFree for small teams and open-source projectsEasy to integrate with Python by marking tests with @pytest.mark.benchmarkThey’ve releases a GitHub action to incorporate benchmarking in CI workflows Extras Brian: Part 2 of Lean TDD released this morning, “Lean TDD Practices”, which has 9 mini chapters. Michael: Our Docker build just broke because of the supply chain techniques from last week (that’s a good thing!). Not a real issue, but really did catch an open CVE.Long passwords are bad now? ;) Joke: Check out my app!
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    36 m