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Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Model Context Protocol Servers
An MCP server for interacting with Sentry via LLMs.
A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.
The official TypeScript SDK for Model Context Protocol servers and clients
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
TypeScript-first schema validation with static type inference
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
Collection of TypeScript type challenges with online judge
Build production-ready applications in TypeScript
π¨ The exhaustive Pattern Matching library for TypeScript, with smart type inference.
A lightweight command-line tool that spins up a local web server to display Git commit diffs in a GitHub-like Files changed view
Terminal Markdown previewer β GUI-like experience.
rust-kr / doc.rust-kr.org
Forked from rinthel/rust-lang-book-koThe Rust Programming Language νκ΅μ΄ λ²μ
A web tool to explore the ASTs generated by parsers.
Warp is an agentic development environment, born out of the terminal.
AI agents running research on single-GPU nanochat training automatically
A plugin for TypeDoc that enables TypeScript API documentation to be generated in Markdown.
ν¨μλ λμ리 β Code Complete 2nd Edition ν¨κ» μ½κΈ° μ°μΆλ¬Όμ λλ€!
Open source Ghostty-based macOS terminal with vertical tabs and notifications. Built for AI coding agents and programmability.
Next generation frontend tooling. It's fast!
The elegant bundler for libraries powered by Rolldown
π€ Headless UI for building powerful tables & datagrids for TS/JS - React-Table, Vue-Table, Solid-Table, Svelte-Table
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.