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pointblank
Data validation toolkit for assessing and monitoring data quality.
https://github.com/posit-dev/pointblank
2 634
Build wiki from codebases that automatically update itself
Markdown documentation with Mermaid diagrams from codebases that always stay fresh.
https://cocoindex.io/examples-v1/multi-codebase-summarization
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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
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diwire
Type-safe dependency injection for Python with auto-wiring, scopes, async factories, and zero deps.
https://github.com/maksimzayats/diwire
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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
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django-orbit
A modern debugging and observability tool that orbits your Django application without touching it.
https://github.com/astro-stack/django-orbit
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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/
2 634
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
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trueform
Real-time geometric processing. Easy to use, robust on real-world data.
https://github.com/polydera/trueform
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Auto-Claude
Autonomous multi-agent coding framework that plans, builds, and validates software for you.
https://github.com/AndyMik90/Auto-Claude
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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/
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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
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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/
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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/
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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/
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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
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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
