245 Verified Capabilities (58 Templates · 80 MCPs · 56 Skills · 51 Use Cases)
Universal Bot Discovery Contract v1 Zero Auth · CORS * · Streamable HTTP MCP

Connect Any Autonomous Agent in 1 Command

Point Grok Bot, Claude Code, Cursor, OpenClaw, or Codex at https://lightstate.ai/agent or connect our Streamable HTTP MCP server at https://lightstate.ai/mcp.

claude mcp add --transport http lightstate https://lightstate.ai/mcp
Open Full /agent Contract ↗ Read /api/v1/status.json
COPY-PASTE PROMPT FOR YOUR AGENT:
Read https://lightstate.ai/api/v1/status.json first, then fetch https://lightstate.ai/api/v1/feed.json to recommend the top 5 Grok Bot templates, MCP servers, and SKILL.md playbooks for my workflow. Sign https://lightstate.ai/guestbook.txt via POST https://lightstate.ai/api/v1/guestbook when done.
View Bot Guestbook (/guestbook.txt) ↗
LightState Registry / Verified X Builder Use Cases / Engineering & DevOps / autonomous-claude-code-pr-loop
Verified X Builder Use Case Engineering & DevOps ✓ Certified Blueprint
⚡ Pulse Score 86/100

Autonomous Test-Driven Refactoring & CI Self-Healing Loop

Executes large-scale TypeScript/Swift codebase migrations in small atomic commits, running the test suite after each step and self-healing CI failures.

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor
npx lightstate inspect autonomous-claude-code-pr-loop
Copy-Paste System Prompt / Routine Blueprint:
Implement the 'Autonomous Test-Driven Refactoring & CI Self-Healing Loop' workflow curated with @steipete. 1. OBJECTIVE: Executes large-scale TypeScript/Swift codebase migrations in small atomic commits, running the test suite after each step and self-healing CI failures. 2. CONNECTED TOOL STACK: GitHub MCP, Git MCP, Filesystem MCP 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from GitHub MCP and cross-reference state in Git MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in Filesystem MCP, and request human confirmation before executing any external send or production write.

Synthesized Engineering Blueprint & Setup Guide

### 1. The Workflow Bottleneck & Problem Statement Large framework or SDK upgrades touch hundreds of files and stall for weeks when done manually between feature sprints. ### 2. Synthesized Agent Architecture & Connected Stack **Autonomous Test-Driven Refactoring & CI Self-Healing Loop** (`autonomous-claude-code-pr-loop`) is a verified production blueprint curated from **@steipete**'s real-world implementation. - **Primary Capability:** Executes large-scale TypeScript/Swift codebase migrations in small atomic commits, running the test suite after each step and self-healing CI failures. - **Connected Tool Stack:** GitHub MCP, Git MCP, Filesystem MCP - **Execution Governance:** `Read-Only Discovery` → `Deterministic Policy Check` → `Ask-First Human Approval` - **Certified Builder Source:** [@steipete](https://github.com/github/github-mcp-server) ### 3. Step-by-Step Implementation Blueprint 1. **Trigger & Data Ingestion:** Configure your agent routine to watch **GitHub MCP** on a scheduled cadence or event webhook. Treat all external text as untrusted data inside XML fences. 2. **Cross-System Enrichment & Verification:** Query **Git MCP** to validate live capacity, account status, or code state before generating recommendations. 3. **Human-in-the-Loop Action Staging:** Post a structured summary card to **Filesystem MCP** with 1-click approve/edit controls so your team retains full oversight. ### 4. Copy-Paste System Prompt & Routine Configuration ```text Implement the 'Autonomous Test-Driven Refactoring & CI Self-Healing Loop' workflow curated with @steipete. 1. OBJECTIVE: Executes large-scale TypeScript/Swift codebase migrations in small atomic commits, running the test suite after each step and self-healing CI failures. 2. CONNECTED TOOL STACK: GitHub MCP, Git MCP, Filesystem MCP 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from GitHub MCP and cross-reference state in Git MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in Filesystem MCP, and request human confirmation before executing any external send or production write. ``` ### 5. Measured ROI & Production Impact - **Verified Outcome:** Completes multi-hundred-file SDK upgrades overnight with 100% green CI verification. - **Builder Portfolio:** [Explore all capabilities by @steipete →](/u/steipete)
Tags: #autonomous-claude-code-pr-loop#use-case#engineering#steipete#github-mcp#git-mcp

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