Havuz

repository-harness, coding agents için bir depoya yönergeler, dokümantasyon yapısı ve güvenli güncelleme mekanizması ekler.

Neden yükseliyor · Coding agents için depo içi bağlam ve çalışma kuralları güncel bir ihtiyaç; 145 günde 1226 yıldız da ilgi gördüğünü gösteriyor. Ancak son 28 günde commit ve farklı yazar olmaması, bu ilginin güncel geliştirme faaliyetiyle desteklenmediğini düşündürüyor.

Git-native memory for coding agents. Repo memory before the diff.

Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, an

LoopArena, uzun süreli yazılım görevlerinde bir coding agent’ı yönlendiren modelleri ortak koşullarda karşılaştırmak için benchmark ve çalıştırma altyapısı sunuyor.

Neden yükseliyor · Coding agents’ın uzun süreli iş akışlarında nasıl yönlendirileceği güncel bir araştırma konusu; LoopArena bu konuya açık protokol, benchmark sonuçları ve bir arXiv paper ile dikkat çekiyor. Ancak 146 yıldız, 28 günlük repo yaşı ve son 28 günde tek farklı yazar, ilginin henüz yaygın benimsemeye dönüştüğünü göstermiyor.

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discu

Battle-tested programming patterns from production codebases — React, Linux, Go, Chromium, and more. Precise source links, multi-language ex

Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers

Private, self-hosted AI-native software engineering suite — unified identity (GM) plus AI agents, code collaboration, artifact management, t

3x more usage on your coding agent, same quality. Have an multi-agent setup in mind? Bello already supports it. Mix models, run agents in pa

A lightweight annotation standard that helps AI agents navigate codebases faster, with fewer file reads and tool calls

🐴 Prompt-first harness engineering for safer AI coding agent workflows.

Agentic prompts are the most important code you're not engineering. PromptKit fixes that — composable, version-controlled prompt components

A work-centered runtime for agentic software engineering. Work persists; agents, context, and graphs assemble around it.

Loop engineering for software development. Turn any repository into a self-organizing AI engineering team — 8 specialists, contract-driven,

Rational engineering system prompt for Codex and LLMs — focused on accuracy, software engineering, AI, security research, bug bounty, and re

Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or ot

A finite ontology of 115 recurring software elements and a composition framework for LLM-based coding agents

Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.

Platform-agnostic AI agent: one Full-Stack Software Engineer brain, compiled into ready-to-paste adapters for ChatGPT, Claude, Copilot, Gemi

A Sovereign Agent Governance Protocol for Deep-Water Workflows

A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineer

454 standards-grounded Claude Code skills for every PDLC role. 8 roles, 57 plugins, 173 commands. Grounded in SWEBOK, TOGAF, OWASP, ISTQB, N

Evidence-driven production readiness checklist for shipping web applications with confidence

Production-grade software delivery for coding-agent teams on Multica — dynamic planning, deterministic execution, verifiable delivery.

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

Reusable agent skills for end-to-end software delivery, from requirements and implementation to review, testing, and release.

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assiste

Claude Code skill that applies Naur's Programming as Theory Building to coding-agent workflows.

AI-native software delivery workflow for Claude Code and Codex: design, change, implement, test, review, and archive.

🔎 Fast, local search across the CS research literature, with an expressive query language, an interactive TUI, and scriptable output.

🪢 Local-first, agent-agnostic R&D harness — persistent memory, domain SOPs, contract handoffs & quality gates for PM + Engineering | 本地优先、工具

Aprendendo como agentes de IA funcionam de verdade.

⚗️ Experimental — A markdown brain that gives your AI coding tools judgment and rigor: sharp defaults, real decisions, and the discipline to

A persistent, reviewed multi-agent runtime for long-horizon research and engineering.

Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development