Yokan: a compiler from a statically typed subset of Python to native desktop apps
Develop on real CPython with hot reload, ship one native binary, and check that both runs behave the same.
https://github.com/i2y/yokan
Develop on real CPython with hot reload, ship one native binary, and check that both runs behave the same.
https://github.com/i2y/yokan
GitHub
GitHub - i2y/yokan: A native compiler for a statically typed subset of Python, for desktop apps.
A native compiler for a statically typed subset of Python, for desktop apps. - i2y/yokan
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Soft-deprecating re.match()
The article explains when to use re.prefixmatch(), re.search(), and re.fullmatch(), what soft deprecation means for existing code, and how to flag re.match() usage with Ruff.
https://hugovk.dev/blog/2026/soft-deprecating-re.match/
The article explains when to use re.prefixmatch(), re.search(), and re.fullmatch(), what soft deprecation means for existing code, and how to flag re.match() usage with Ruff.
https://hugovk.dev/blog/2026/soft-deprecating-re.match/
Hugo van Kemenade
Soft-deprecating re.match()
Hyperresearch
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
https://github.com/jordan-gibbs/hyperresearch
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
https://github.com/jordan-gibbs/hyperresearch
GitHub
GitHub - jordan-gibbs/hyperresearch: Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search…
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. - jordan-gibbs/hyp...
Flowsint
Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification.
https://github.com/reconurge/flowsint
Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification.
https://github.com/reconurge/flowsint
GitHub
GitHub - reconurge/flowsint: A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity…
A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators. - reconurge/flowsint
Claude-Red
Claude-Red is a curated library of drop-in Claude Skills that equips Claude with specialized offensive-security workflows for areas like web apps, Active Directory, wireless, exploit development, cloud, and AI security.
https://github.com/SnailSploit/Claude-Red
Claude-Red is a curated library of drop-in Claude Skills that equips Claude with specialized offensive-security workflows for areas like web apps, Active Directory, wireless, exploit development, cloud, and AI security.
https://github.com/SnailSploit/Claude-Red
GitHub
GitHub - SnailSploit/Claude-Red: claude-red is a curated library of offensive security skills designed for the Claude skills system.…
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a s...
OpenArch
PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture Gallery.
https://github.com/anuj0456/OpenArch
PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture Gallery.
https://github.com/anuj0456/OpenArch
GitHub
GitHub - anuj0456/OpenArch: PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT…
PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Rasch...
iFixAi
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
https://github.com/ifixai-ai/iFixAi
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
https://github.com/ifixai-ai/iFixAi
GitHub
GitHub - ifixai-ai/iFixAi: Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question…
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have...
FastHTML - Build Web Apps in Pure Python!
The video demonstrates building a polling application with FastHTML, covering form creation, POST request handling, and storing polls in a database. It also shows how to define database models using Python data classes, create a voting page, and process submitted votes.
https://www.youtube.com/watch?v=Ck0w7zqshjU
The video demonstrates building a polling application with FastHTML, covering form creation, POST request handling, and storing polls in a database. It also shows how to define database models using Python data classes, create a voting page, and process submitted votes.
https://www.youtube.com/watch?v=Ck0w7zqshjU
YouTube
FastHTML - Build Web Apps in Pure Python!
▶ Django & HTMX FULL COURSE: https://www.udemy.com/course/django-htmx-hypermedia-web-apps/?couponCode=BB-SEP
🙏 Join our channel to get access to perks:
https://www.youtube.com/channel/UCTwxaBjziKfy6y_uWu30orA/join
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲:
To support the channel…
🙏 Join our channel to get access to perks:
https://www.youtube.com/channel/UCTwxaBjziKfy6y_uWu30orA/join
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲:
To support the channel…
strands-agents / harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
https://github.com/strands-agents/harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
https://github.com/strands-agents/harness-sdk
GitHub
GitHub - strands-agents/harness-sdk: Build an agent harness and control it end-to-end. Open-source SDK for production AI agents…
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. - strands-agents/harness-sdk
🤔1
ASC
ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers.
https://github.com/MG1937/ASC
ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers.
https://github.com/MG1937/ASC
GitHub
GitHub - MG1937/ASC: ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers.
ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers. - MG1937/ASC
feder-cr / invisible_playwright_mcp
Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.
https://github.com/feder-cr/invisible_playwright_mcp
Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.
https://github.com/feder-cr/invisible_playwright_mcp
GitHub
GitHub - feder-cr/invisible_playwright_mcp: Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web…
Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use. - feder-cr/invisi...
Fighting for #1 in the Ultimate Tic-Tac-Toe Arena
Tom Alard details how he built a highly competitive Ultimate Tic-Tac-Toe bot using a neural network trained on over 300 million self-play positions, a custom search algorithm, and SIMD-optimized C code. He also explains how he compressed the engine and neural network into a Python submission using UTF-16 encoding to bypass CodinGame’s 100,000-character limit, reaching second place on the...
https://tomalard.github.io/posts/fighting-for-1-in-the-ultimate-tic-tac-toe-arena/
Tom Alard details how he built a highly competitive Ultimate Tic-Tac-Toe bot using a neural network trained on over 300 million self-play positions, a custom search algorithm, and SIMD-optimized C code. He also explains how he compressed the engine and neural network into a Python submission using UTF-16 encoding to bypass CodinGame’s 100,000-character limit, reaching second place on the...
https://tomalard.github.io/posts/fighting-for-1-in-the-ultimate-tic-tac-toe-arena/
tomalard.github.io
Fighting for #1 in the Ultimate Tic-Tac-Toe Arena
Using UPX-packed C binaries in UTF-16, SIMD-accelerated NNUEs, and MCTS to climb the CodinGame leaderboard.
redis-lua-py
Write Redis Lua scripts as real Python functions, not strings.
https://github.com/IgnaceMaes/redis-lua-py
Write Redis Lua scripts as real Python functions, not strings.
https://github.com/IgnaceMaes/redis-lua-py
GitHub
GitHub - IgnaceMaes/redis-lua-py: Write Redis Lua scripts as real Python functions, not strings.
Write Redis Lua scripts as real Python functions, not strings. - IgnaceMaes/redis-lua-py
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Hardware-Agnostic Models in vLLM
The article explains how vLLM is introducing hardware-agnostic layers so it can keep supporting diverse models and accelerators even as frontier models increasingly rely on hardware-specific “flat” implementations. The new path remains compatible with torch.compile and, in tests on NVIDIA H100s, delivered total token throughput within 3.4% of the native implementation across three recent...
https://pytorch.org/blog/hardware-agnostic-models-in-vllm/
The article explains how vLLM is introducing hardware-agnostic layers so it can keep supporting diverse models and accelerators even as frontier models increasingly rely on hardware-specific “flat” implementations. The new path remains compatible with torch.compile and, in tests on NVIDIA H100s, delivered total token throughput within 3.4% of the native implementation across three recent...
https://pytorch.org/blog/hardware-agnostic-models-in-vllm/
👌1
PyPy v8.0.0
PyPy 8.0.0 introduces its first Python 3.12 interpreter as a beta, alongside Python 2.7 and 3.11 releases, and raises the minimum glibc requirement for Linux binaries to 2.28. The release also advances compatibility with CPython’s limited C API and abi3 wheels, improves RPython code generation, and drops HPy as a default backend, though abi3 wheel installation support is not yet complete.
https://pypy.org/posts/2026/09/pypy-v800-release.html
PyPy 8.0.0 introduces its first Python 3.12 interpreter as a beta, alongside Python 2.7 and 3.11 releases, and raises the minimum glibc requirement for Linux binaries to 2.28. The release also advances compatibility with CPython’s limited C API and abi3 wheels, improves RPython code generation, and drops HPy as a default backend, though abi3 wheel installation support is not yet complete.
https://pypy.org/posts/2026/09/pypy-v800-release.html
PyPy
PyPy v8.0.0 release
PyPy v8.0.0: release of python 2.7, 3.11, and 3.12 beta released 2026-09-19
The PyPy team is proud to release version 8.0.0 of PyPy after the previous
release on May 26, 2026. This is a major new vers
The PyPy team is proud to release version 8.0.0 of PyPy after the previous
release on May 26, 2026. This is a major new vers
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Bad evals, my own: five exercises from two LLM judges
The author uses five exercises from two real LLM judges to expose evaluation pitfalls, including inconsistent results, biased test sets, misleading metrics, and pass/fail thresholds that become unreliable as test suites grow. He shows why trustworthy evaluations require representative data, clearly defined metrics, repeated testing, and preserved run artifacts, revealing flaws in his own...
https://digline.dev/blog/bad-evals-my-own/
The author uses five exercises from two real LLM judges to expose evaluation pitfalls, including inconsistent results, biased test sets, misleading metrics, and pass/fail thresholds that become unreliable as test suites grow. He shows why trustworthy evaluations require representative data, clearly defined metrics, repeated testing, and preserved run artifacts, revealing flaws in his own...
https://digline.dev/blog/bad-evals-my-own/
digline
Bad evals, my own: five exercises from two LLM judges — digline
I applied the reading Dan Luu applies to other people's benchmarks to my own two LLM judges. Numbers first, explanations after.
ZeroModels
ZeroModels is an open-source Keras 3 library of pretrained models spanning vision, language, speech, depth estimation, and multimodal tasks.
https://github.com/IMvision12/ZeroModels
ZeroModels is an open-source Keras 3 library of pretrained models spanning vision, language, speech, depth estimation, and multimodal tasks.
https://github.com/IMvision12/ZeroModels
GitHub
GitHub - IMvision12/ZeroModels: ZeroModels: Open-source Keras 3 collection of pretrained models across Vision, LLM, VLM, Depth…
ZeroModels: Open-source Keras 3 collection of pretrained models across Vision, LLM, VLM, Depth, Speech, and more - IMvision12/ZeroModels
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Kev
tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own.
https://github.com/jaredpalmer/kev
tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own.
https://github.com/jaredpalmer/kev
GitHub
GitHub - jaredpalmer/kev: Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own - jaredpalmer/kev