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You Could've Invented OpenClaw This tutorial walks through rebuilding OpenClaw, the open source AI agent, from the ground up, starting with a 20 line Telegram bot and ending with a fully functional mini version in about 400 lines, so you can truly understand the architecture by building it yourself. https://x.com/dabit3/status/2021387483364151451

pfst Format-preserving Python AST manipulation. https://github.com/tom-pytel/pfst

django-orbit A modern debugging and observability tool that orbits your Django application without touching it. https://github.com/astro-stack/django-orbit

cysqlite - a new sqlite driver Charles Leifer introduces cysqlite, a from scratch DB API compatible SQLite driver he revived after pysqlite3 became harder to maintain and less compelling long term. The main focus is sane transaction handling that matches SQLite’s default behavior, avoids Python sqlite3’s confusing autocommit and legacy modes, and provides a cleaner base for SQLite extensions and Peewee integration. https://charlesleifer.com/blog/cysqlite---a-new-sqlite-driver/

tokentap Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions. https://github.com/jmuncor/tokentap

trueform Real-time geometric processing. Easy to use, robust on real-world data. https://github.com/polydera/trueform

Auto-Claude Autonomous multi-agent coding framework that plans, builds, and validates software for you. https://github.com/AndyMik90/Auto-Claude

Speeding up NumPy with parallelism Parallelism can speed up your NumPy code… and can still benefit from other optimizations. https://pythonspeed.com/articles/numpy-parallelism/

InstaCloud Cloud Storage using Instagram. https://github.com/depreciating/InstaCloud/

review-prompts AI-assisted code review prompts for Linux kernel and systemd development. Works with Claude Code and other AI tools. https://github.com/masoncl/review-prompts

Calling Lean Functions As Python Functions Philip Zucker introduces leancall, a Python library designed to bridge the gap between Lean 4 and Python by allowing Lean functions to be called as native Python functions. He demonstrates its utility through practical examples like balancing a Cartpole in a reinforcement learning environment and building a ray tracer, highlighting Lean's performance benefits while leveraging Python's va... https://www.philipzucker.com/leancall/

Rewriting pycparser with the help of an LLM Eli describes how he used an LLM coding agent (Codex) to help rewrite the popular Python C parser pycparser, replacing its old PLY based parser with a hand-written recursive descent parser that passes the full test suite and is easier to maintain. He found the experience efficient and insightful, noting the agent did most of the heavy work in far less time than doing it manually while hi... https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/

Making Pyrefly Diagnostics 18x Faster Learn about the recent performance improvements made to Pyrefly's language server capabilities. https://pyrefly.org/blog/2026/02/06/performance-improvements/

memory_graph Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy. https://github.com/bterwijn/memory_graph

Stop Building Ugly APIs: Use the Fluent Interface Pattern The video walks through refactoring a small Python animation API from a clunky configuration style into a fluent interface that reads like a story using method chaining and domain specific methods. It also explains what the fluent interface pattern is, how it differs from the builder pattern, where it already appears in Python, and when it is appropriate or inappropriate to use. https://www.youtube.com/watch?v=f1Nb_JV_s8Y

Python 3.12 vs 3.13 vs 3.14: What Changed and Which Should You Use Compare Python 3.12, 3.13, and 3.14 side by side. See what changed across free-threading, JIT, t-strings, performance, and library support plus which version you should actually use in 2026. https://releaserun.com/python-3-12-vs-3-13-vs-3-14-comparison/

airs-bench An AI Research Science benchmark for quantifying the end-to-end AI research abilities of LLM agents. https://github.com/facebookresearch/airs-bench

Arbalister Dataframe viewer for Jupyter over Arrow. https://github.com/QuantStack/Arbalister

microgpt.py Train and inference GPT in 243 lines of pure, dependency-free Python. https://gist.github.com/karpathy/8627fe009c40f57531cb18360106ce95

Zoocache Semantic dependency based cache with high performance and concurrency in mind. https://github.com/albertobadia/zoocache