Havuz

An open-source workspace for coding agents, running on your own machine. More work. Less AI waste. Same subscriptions.

The guide for AI meta harnesses

Turn your repos into a team of Claude Code agents with persistent memory, coordinated tasks, and a live dashboard.

A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Run

Accountable long-running coding shifts for Cursor, Codex, and Claude Code. Safe autonomy, recovery, persistent state, and reviewable results

One TUI for every AI coding agent session — Claude Code, Codex, Cursor, and more — in sync across every device.

"The First Principles of AI Programming" Open Source Book. Starting from the underlying physical constraints of large models, it deduces the

Uxnan (pronounced /uʃ.nan/) is a suite of tools I built to solve a very specific problem I face as a developer: managing AI-powered coding a

Hand agents the keyboard. Keep the whiteboard.

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release

Open-source agentic terminal. Finds the agent sessions already on your machine, keeps them alive after you close the app, and lets you reach

The fastest native app for agentic engineering.

AI readiness & verification toolkit — measure how ready your codebase is for autonomous AI coding agents, and get a roadmap to autonomy. P

A fast macOS terminal for working with coding agents, built on libghostty.

VS Code extension that turns your TODO.md into an interactive Kanban board and runs autonomous Claude Code agent loops per task — markdown s

One native app for every AI coding agent. Rust + GPUI.

Run many CLI (Coding) Agents in parallel lanes: issues, worktrees, sessions, and loops on one board. The agentic development environment.

Code Modern. Code Legacy. Code Firmware. - open-source AI-native IDE with agentic coding, Power Mode, legacy modernization, and firmware dev

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, imp

AI agents can now write 99% of the code. This changes what it means to be a developer. Our role shifts to knowing "what good looks like". To

Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one set

A Lean quality system for AI-assisted work — every defect becomes a permanent countermeasure. Built by a manufacturing operator.

A CLI that turns a goal into a pull request - and a sandbox for testing concurrent AI coding agents on the Mozaik runtime.

Multi-agent AI coding factory for one person — Claude Code PM + Codex/Qwen/Grok/Kimi/AGY writers, durable conveyor, auto-merge to main

让 Codex 少烧 Token、少造复杂度，同时不降智的代码约束 Skill

🦀 Open-source alternative to Claude Code, built from scratch in Rust. Agentic coding CLI — thinks, plans, and executes with any LLM. Compati

Excel VBA integration for VS Code - Tree View / Full Direct VBA Read+Write / LiveShare Compatible / Direct Agentic AI Integrations

A Claude Code workflow for long projects: short context, decisions remembered, lessons that stick across sessions

Don Cheli — SDD Framework. The most comprehensive Specification-Driven Development framework for AI agents. 88+ commands, 51 skills, 15 reas

A one-click installer that scaffolds a complete GitHub Copilot agentic coding environment into any project

Spec Kit writes WHAT. Superpowers enforces HOW. Thin handoff bridge for Codex and Claude Code.

What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven,

Inline review comments for markdown specs. Built-in MCP server hands feedback directly to your AI agent.

Build production-ready AI agents in Claude Code from natural language. Analyzes your problem, researches best practices, and generates subag

A terminal-first ADE for the coding agents you already use: real PTYs, git worktrees, diffs and pull requests in one window

A fact-checked knowledge base on Boris Cherny's 'loop' methodology for running Claude Code.

29 Claude Code skills, 4 subagents and 3 hooks: grilling, handoffs, a kanban workflow, an unattended orchestrator with a merge gate, multi-a

Agentic AI development loop that splits Design, Code, Review, and Test into isolated roles with deterministic guardrails

Checks coding agents' edits as they work by enforcing mechanical guardrails for clean code.

Athena is a desktop control surface for AI coding agents with shared project context. Built with Electron, React, and FastAPI, it embeds nat

Floom's terminal IDE for AI agents: Claude control plane, Codex workers, Docker runtime, hooks, skills, memory, and browser/Gmail workflows.

Your whole product team, not just a coding agent. Plan → design → build → QA, with you as the PM who signs off.

Agents, skills and plugins I use daily to code with AI. A living Claude Code marketplace, also compatible with Codex.

Security-First Agentic IDE Coding Harness

A repo-native coding-agent loop harness for Claude, Codex, Copilot, and other CLI agents. Agents can edit. Gates decide what lands. You set

An AI desktop app that runs on your own keys. Chat with any model, let always-on Workers take jobs off your plate, and run every coding agen

12 agent skills for AI-driven software development — a gated idea-to-ship pipeline: 7w3 design, build-ready specs, executable architecture,

"make", but for correctness claims. Decides when a coding agent's work is actually done, and un-decides it when you edit the code.

gap-trap, coding agent kullanan repolara projeye özel kalite kuralları ve bu kuralları CI veya test sürecinde denetleyen gate'ler ekleyen bir agent skill'dir.

Neden yükseliyor · 14 günde 180 yıldız ve son 28 günde 34 commit, yeni projeye yönelik belirgin ilgiyi ve geliştirme hareketliliğini gösteriyor. Ancak proje çok genç ve farklı yazar sayısı 2; bu veriler yaygın benimsemeyi veya uzun vadeli sürdürülebilirliği kanıtlamıyor.