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

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/

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

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

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/

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/

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/

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

InstaCloud

Cloud Storage using Instagram.

https://github.com/depreciating/InstaCloud/

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/

Auto-Claude

Autonomous multi-agent coding framework that plans, builds, and validates software for you.

https://github.com/AndyMik90/Auto-Claude

trueform

Real-time geometric processing. Easy to use, robust on real-world data.

https://github.com/polydera/trueform

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

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/

django-orbit

A modern debugging and observability tool that orbits your Django application without touching it.

https://github.com/astro-stack/django-orbit

pfst

Format-preserving Python AST manipulation.

https://github.com/tom-pytel/pfst

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

diwire

Type-safe dependency injection for Python with auto-wiring, scopes, async factories, and zero deps.

https://github.com/maksimzayats/diwire

Anthropic Performance Team Take-Home for Dummies

The article breaks down the Anthropic take-home interview into simple steps and clear examples, showing how to solve the prompt efficiently while explaining the reasoning behind each choice. It offers practical advice on common pitfalls, scoring criteria, time management, and how to structure your responses to perform well in the assessment.

https://www.ikot.blog/anthropic-take-home-for-dummies