Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.
CodeGate: Security, Workspaces and Multiplexing for AI Agentic Frameworks
A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.
Upload once to create multiple, relative PRs. Productivity-focused git tools with patch revision tracking, rebase detection and more. Uses python and git plumbing commands.
Conversion between different conventions of camera matrices and transform matrices.
Compiles AI agent traces and truns them into reusable context.
Turn feature requests into review-ready pull requests: issue, implementation, tests, a review-and-fix loop, and docs. Runs locally or on GitHub Actions, and is built for complex brownfield repos. Each week its retrospective reads what you actually merged and proposes improvements to your skill extensions.
mentor — a session-insights skill for AI coding agents. This skill reads your local Claude Code and OpenAI Codex history and writes an /insights-style HTML report on how you work: what you build, where you lose time, and concrete fixes. An agent skill for Claude Code, Codex, and any skills-capable agent.
The fastest way to understand any confusing codebase using real project signals. Not blind AI guessing. Signals first. LLM second
Practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity with real workflows, prompts, and systems.
⚡ Cut Claude token usage by 90%+ — free, open-source, local-first context compression for Claude Code. Hybrid RAG (BM25 + ONNX vectors), AST chunking, reranking. No API needed.
chatsnack is the easiest Python library for rapid development with OpenAI's ChatGPT API. It's an intuitive interface for creating and managing prompts, templates, and responses, making it convenient to build complex, interactive conversations with AI.
The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflows. From understanding how AI agents work to rolling them out across teams. Built for leaders driving adoption.
A beautiful, web-based adb logcat viewer; Android Studio's Logcat without the IDE.
A command line tool to report statistics on the contributions of developer to a project.
Tools and Utilities for Google Cloud Networking Products & Services.
Proof-of-done for AI coding agents. Local evidence receipts for Codex, Claude Code, Cursor, and GitHub Actions.
Quantify the compute and developer-time cost of flaky tests from JUnit XML - classify flakes vs genuine failures across reruns, rank them by cost. Python 3.11, stdlib only.
Streamline your web dev experience with stella - reload commands on the terminal as well as URL on the browser.
🌊 Command line lunch reminder
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