Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
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Updated
Apr 22, 2026 - Python
Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
Reviews pull requests for the shortcuts AI coding agents take to look done without being done: relaxed tests, swallowed errors, fake renames, 11 checks in all. Flags them for a human by default, or blocks the merge if you turn that on. Can also turn a goal into a checklist and only accept a patch once every check passes.
BizDevOps rhythm manager for Claude Code — trace business goals to code changes with 18 skills
Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.
Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code
performs SonarQube analyses and checks quality gates https://concourse-ci.org/ https://sonarqube.org/
Parallel Subagent Orchestration Engine for Claude Code implementing the IOSM methodology. Continuous dispatch scheduling, quality gates, auto-spawn protocol.
Declarative governance framework for AI-augmented software development lifecycles
Turn ad-hoc Claude Code / Codex / Cursor sessions into a repeatable loop — research → plan → wave-execute → close. Parallel sub-agents, inter-wave quality gates, dual GitHub+GitLab integration, F2 Memory + Persona-Panel + gsd-Pattern Adoption. 37 skills · 18 commands · 13 agents · 7360 tests.
Self-orchestrating multi-agent system for Claude Code — you say WHAT, the AI decides HOW. v7.1: 15 AI agents, Smart Routing, parallel quality gates, skills architecture, plugin & one-command installer. Optimized for Claude Fable 5.
ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.
AI-Powered Development Framework for Claude Code — 70+ commands, 25 agents, 381 skills, quality gates
Governed local runtime for AI coding agents: task lifecycle, mandatory gates, reviews, doc-impact checks, and auditable completion.
Ready-to-use project scaffolding with quality gates, testing, and Claude Code integration. Problem This Solves: LLM-assisted development fails by silently expanding scope, degrading quality, and losing architectural intent. This scaffold exists to make those failures impossible without explicit acknowledgement.
A 7-Pillar AI+Human SDLC methodology — 10 stages, 5 quality gates, 18 SOUL roles. Tool-agnostic, MIT, battle-tested.
Engineering governance framework for AI coding agents. Forces planning before code, evidence before completion, memory across sessions.
Auto-loop execution workflow with quality gates for Claude Code. Automatically decomposes tasks, implements code, runs tests, and iterates through quality gates until completion.
Controlled agent harness for lights-out software work: persistent Ralph Loops, evaluator backpressure, guardrails, metrics, and git audit trails.
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