htdt / godogen
Claude Code & Codex skills that build complete Godot projects from a game description
https://github.com/htdt/godogen
Claude Code & Codex skills that build complete Godot projects from a game description
https://github.com/htdt/godogen
GitHub
GitHub - htdt/godogen: Autonomous game development for Godot and Bevy with Claude Code and Codex
Autonomous game development for Godot and Bevy with Claude Code and Codex - htdt/godogen
❤2
Bernstein
Deterministic orchestrator for 18 CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.
https://github.com/chernistry/bernstein
Deterministic orchestrator for 18 CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.
https://github.com/chernistry/bernstein
GitHub
GitHub - sipyourdrink-ltd/bernstein: Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit…
Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode. - sipyourdrink-ltd/bernstein
❤1👍1💯1
Django to Browser Push - Without WebSockets, Channels, or Redis
The post shows how to push real-time browser updates in Django without WebSockets, Channels, or Redis by using a simpler HTTP/SSE-based approach. Its main point is that you can get instant UI updates with much less infrastructure and complexity while still keeping the setup practical for existing Django apps.
https://usman.it/django-realtime-updates-without-websockets/
The post shows how to push real-time browser updates in Django without WebSockets, Channels, or Redis by using a simpler HTTP/SSE-based approach. Its main point is that you can get instant UI updates with much less infrastructure and complexity while still keeping the setup practical for existing Django apps.
https://usman.it/django-realtime-updates-without-websockets/
Muhammad Usman
Django to Browser Push - Without WebSockets, Channels, or Redis
You have a Django app. You want to push updates to the browser in realtime. You look it up and immediately get hit with: install Django Channels, set up Redis, configure ASGI, add a routing layer, write consumers, handle WebSocket connections, manage reconnections……
ComposioHQ / awesome-codex-skills
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
https://github.com/ComposioHQ/awesome-codex-skills
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
https://github.com/ComposioHQ/awesome-codex-skills
GitHub
GitHub - ComposioHQ/awesome-codex-skills: A curated list of practical Codex skills for automating workflows across the Codex CLI…
A curated list of practical Codex skills for automating workflows across the Codex CLI and API. - ComposioHQ/awesome-codex-skills
Powering Up Django Development With Claude Code
LLM coding tools can accelerate Django development, but unchecked outputs often create technical debt through poor architecture, weak tests, and overly complex code. The talk focuses on using Claude Code effectively with strong prompts, guardrails, and skepticism so AI becomes a productive assistant rather than a cleanup burden.
https://www.youtube.com/watch?v=MJMex1FNjXI
LLM coding tools can accelerate Django development, but unchecked outputs often create technical debt through poor architecture, weak tests, and overly complex code. The talk focuses on using Claude Code effectively with strong prompts, guardrails, and skepticism so AI becomes a productive assistant rather than a cleanup burden.
https://www.youtube.com/watch?v=MJMex1FNjXI
YouTube
Powering Up Django Development With Claude Code
This is a recording from _Python Unplugged on PyTV_ – a free online Python conference by JetBrains PyCharm.
Watch the talk by Sheena O'Connell, Board member of the Python Software Foundation, on powering up Django development with Claude Code.
🎤 Talk description:…
Watch the talk by Sheena O'Connell, Board member of the Python Software Foundation, on powering up Django development with Claude Code.
🎤 Talk description:…
OriginTracer
This is a low level observability tool with a very flexible extension model. Users write probes and rules and the tool constructs a live causal graph.
https://github.com/Humbulani1234/origintracer
This is a low level observability tool with a very flexible extension model. Users write probes and rules and the tool constructs a live causal graph.
https://github.com/Humbulani1234/origintracer
GitHub
GitHub - Humbulani1234/origintracer: a low level monitoring tool
a low level monitoring tool. Contribute to Humbulani1234/origintracer development by creating an account on GitHub.
Decoupling Your Business Logic from the Django ORM
As Django apps grow, stuffing business logic into views, models, and managers creates tangled code, slow tests, and ORM-driven performance issues like overfetching and N+1 queries. The solution proposed is moving domain logic into typed plain-Python classes while using the ORM only for persistence, making systems cleaner, faster, easier to test, and easier to evolve.
https://buttondown.com/carlton/archive/decoupling-your-business-logic-from-the-django-orm/
As Django apps grow, stuffing business logic into views, models, and managers creates tangled code, slow tests, and ORM-driven performance issues like overfetching and N+1 queries. The solution proposed is moving domain logic into typed plain-Python classes while using the ORM only for persistence, making systems cleaner, faster, easier to test, and easier to evolve.
https://buttondown.com/carlton/archive/decoupling-your-business-logic-from-the-django-orm/
Buttondown
Decoupling Your Business Logic from the Django ORM
Where should I keep my business logic? This is a perennial topic in Django. We can imagine a continuum of cases, with increasing complexity: I begin with my...
Neuro AI
Python suite for neuroscience research across all modalities.
https://github.com/facebookresearch/neuroai
Python suite for neuroscience research across all modalities.
https://github.com/facebookresearch/neuroai
GitHub
GitHub - facebookresearch/neuroai: Python suite for neuroscience research across all modalities.
Python suite for neuroscience research across all modalities. - facebookresearch/neuroai
HY-World-2.0
A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds.
https://github.com/Tencent-Hunyuan/HY-World-2.0
A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds.
https://github.com/Tencent-Hunyuan/HY-World-2.0
GitHub
GitHub - Tencent-Hunyuan/HY-World-2.0: HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D…
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds - Tencent-Hunyuan/HY-World-2.0
Django: fixing a memory “leak” from Python 3.14’s incremental garbage collection
Adam Johnson explains how Python 3.14's new incremental garbage collection caused excessive memory growth during Django migrations, leading to out-of-memory errors on resource-constrained servers. He shares a practical workaround by explicitly triggering garbage collection after each migration step, and notes the issue helped support the planned revert to the prior GC behavior in Python ...
https://adamj.eu/tech/2026/04/20/django-python-3.14-incremental-gc/
Adam Johnson explains how Python 3.14's new incremental garbage collection caused excessive memory growth during Django migrations, leading to out-of-memory errors on resource-constrained servers. He shares a practical workaround by explicitly triggering garbage collection after each migration step, and notes the issue helped support the planned revert to the prior GC behavior in Python ...
https://adamj.eu/tech/2026/04/20/django-python-3.14-incremental-gc/
adamj.eu
Django: fixing a memory “leak” from Python 3.14’s incremental garbage collection - Adam Johnson
Back in February, I encountered an out-of-memory error while migrating a client project to Python 3.14. The issue occurred when running Django’s database migration command (migrate) on a limited-resource server, and seemed to be caused by the new incremental…
browser-harness
Self-healing browser harness that enables LLMs to complete any task.
https://github.com/browser-use/browser-harness
Self-healing browser harness that enables LLMs to complete any task.
https://github.com/browser-use/browser-harness
GitHub
GitHub - browser-use/browser-harness: Browser Harness | Self-healing harness that enables LLMs to complete any task.
Browser Harness | Self-healing harness that enables LLMs to complete any task. - browser-use/browser-harness
I built a dev blog! First deep dive: How Ruff and UV changed my mind about Python setups.
https://www.reddit.com/r/Python/comments/1s7lna7/i_built_a_dev_blog_first_deep_dive_how_ruff_and/
https://www.reddit.com/r/Python/comments/1s7lna7/i_built_a_dev_blog_first_deep_dive_how_ruff_and/
Reddit
From the Python community on Reddit: I built a dev blog! First deep dive: How Ruff and UV changed my mind about Python setups.
Explore this post and more from the Python community
lingbot-map
A feed-forward 3D foundation model for reconstructing scenes from streaming data.
https://github.com/Robbyant/lingbot-map
A feed-forward 3D foundation model for reconstructing scenes from streaming data.
https://github.com/Robbyant/lingbot-map
GitHub
GitHub - Robbyant/lingbot-map: A feed-forward 3D foundation model for reconstructing scenes from streaming data
A feed-forward 3D foundation model for reconstructing scenes from streaming data - Robbyant/lingbot-map
Best Python framework for industry-level desktop app? (PySide/PyQt/wxPython/Kivy/Web approacg)
https://www.reddit.com/r/Python/comments/1s9oh61/best_python_framework_for_industrylevel_desktop/
https://www.reddit.com/r/Python/comments/1s9oh61/best_python_framework_for_industrylevel_desktop/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Reimagine Python Notebooks in the AI Era
Traditional notebooks are evolving as AI shifts more value from writing syntax to guiding workflows, reviewing outputs, and iterating through natural-language prompts. The emerging model emphasizes reactive cells and integrated LLM tooling that can turn linear notebooks into more interactive, dynamic applications.
https://mljar.com/blog/reimagine-python-notebook-in-ai-era/
Traditional notebooks are evolving as AI shifts more value from writing syntax to guiding workflows, reviewing outputs, and iterating through natural-language prompts. The emerging model emphasizes reactive cells and integrated LLM tooling that can turn linear notebooks into more interactive, dynamic applications.
https://mljar.com/blog/reimagine-python-notebook-in-ai-era/
MLJAR
Reimagine Python Notebooks in the AI Era
We describe how conversational notebook works in MLJAR Studio. It is a virtual AI Data Analyst that can answer data analysis questions using Python behind scenes. It was created on top of Jupyter notebook but has user frinedly design and is AI powered.
What Most Python Developers Miss About Generators
Most Python developers view generators as a memory optimization, but their deeper value is controlling when computation happens and how data flows through a system. They enable lazy pipelines, backpressure handling, two-way communication, and patterns that extend naturally into async streaming architectures.
https://www.youtube.com/watch?v=5VN-3rIUPZ8
Most Python developers view generators as a memory optimization, but their deeper value is controlling when computation happens and how data flows through a system. They enable lazy pipelines, backpressure handling, two-way communication, and patterns that extend naturally into async streaming architectures.
https://www.youtube.com/watch?v=5VN-3rIUPZ8
YouTube
What Most Python Developers Miss About Generators
Talk to the internet when you need answers. Talk to Recall when you need your answers. 🔗 https://www.recall.it/?t=arjan Use code ARJAN25 for 25% off, valid until 1 June 2026.
Do the Ports & Adapters quiz here: https://app.getrecall.ai/challenge/e24770a5…
Do the Ports & Adapters quiz here: https://app.getrecall.ai/challenge/e24770a5…
Array API adoption: Performance wins across the ecosystem
Adopting the Array API standard lets major Python libraries run the same code across backends like NumPy, PyTorch, CuPy, and JAX, unlocking dramatic speedups with minimal user changes. The broader impact is a more interoperable scientific Python ecosystem where GPU acceleration and new hardware become accessible without rewriting entire libraries.
https://labs.quansight.org/blog/array-api-meta-blogpost
Adopting the Array API standard lets major Python libraries run the same code across backends like NumPy, PyTorch, CuPy, and JAX, unlocking dramatic speedups with minimal user changes. The broader impact is a more interoperable scientific Python ecosystem where GPU acceleration and new hardware become accessible without rewriting entire libraries.
https://labs.quansight.org/blog/array-api-meta-blogpost