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Reusable AI agent skills for software factories: explore ideas, write specs, implement, review, and run autonomous research. Works with Clau

Turn requirements into UML diagrams, test cases and editable Word specs—with traceability. Self-hosted, bring your own AI model. Built for c

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.

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

Las empresas tech que más pagan en España y un MCP para que tu agente de IA aplique por ti a sus ofertas. Best-paying tech companies in Spai

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.

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

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

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

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

Structure-first operating process for AI coding agents: Blast / Mid / Inner build altitudes with clear ownership, then T1 structural, T2 bug

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

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

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

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

Production-grade vibe coding framework with specs, architecture, AI agents, testing, security, code review, CI/CD, and battle-tested workflo

Multi-agent engineering framework: evidence packs, runtime validation, task decomposition, cross-window worker execution, and CI artifact ve

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

Benchmark coding agents and agent harnesses on 226 deterministic file-editing tasks with byte-exact verification and a public leaderboard.

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

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

A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings,

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

Your coding agent starts every session knowing nothing about your project. One line, and it writes its own memory from your real code, then

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

Help your agents find the smoking gun they're looking for. Optimization evidence for agents: find complexity hotspots.

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

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

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

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

Use your ChatGPT or Claude Web quota for remote coding without a second server-side API token meter

Getting Out of the Loop: 8 Months Solo-Building with AI

A SKILL.md for AI coding agents that stops overengineering before it starts. Turns KISS, YAGNI, and DRY into a real decision system — not ju

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

Open-source agentic software development platform for building, orchestrating and monitoring autonomous AI coding agents.

NOW you can let AI agents make code changes without losing engineering control.

AI-Native 通用开发工作流方法论：4-Phase 框架 + 空项目/已有源码两种场景 + 反模式速查。让 Claude Code 等 AI agent 在共享契约下并行干活。

A Sovereign Agent Governance Protocol for Deep-Water Workflows

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

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

Software engineering discipline grounded in named primary standards (OWASP, ITIL, IETF RFCs, ISO, BABOK, SBAR, and more), shipped as a Claud

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

A practical workflow for reliable AI-assisted software development

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

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

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

AI-Native-Code开发工作流方法论：4-Phase 框架 + 空项目/已有源码两种场景 + 反模式速查。让 Claude Code 等 AI agent 在共享契约下并行干活。

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

Open-source agentic SDLC harness for structured requirements and application design with Codex, AI-DLC, independent review, Product Design,

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