axledbetter01

  On the volume number. "Several hundred thousand LOC per week sustained, with peaks over a        
  million" is gross churn (insertions + deletions) across feature code, tests, generated types,
  lockfile updates, and migrations. Net new shippable code is a smaller fraction. The point isn't  
  raw LOC; it's that the pipeline can sustainably operate on a real production codebase at that
  throughput, not a toy.

  On stacks supported. The pipeline orchestrates whatever your project uses. Migration adapters    
  cover Rails (Active Record), Alembic, Django, Prisma, Drizzle, golang-migrate, dbmate, flyway,
  supabase-cli, ecto, and typeorm; falls back to a configurable shell command for anything else.   
  Deploy adapters cover Vercel, Fly, Render, and a generic shell adapter. Validate runs whatever
  test/lint/typecheck command you configure (npm test, pytest, go test, anything). Monorepo support
   auto-detects npm/yarn/pnpm workspaces, Turborepo, and Nx. Review engine adapters cover Claude,
  Gemini, Codex, and any OpenAI-compatible endpoint (Groq, Ollama, Together).

  Why this vs Devin or Cursor agent mode. Devin is hosted, opaque, per-ACU billed, single-vendor   
  stack. claude-autopilot runs locally, every phase is an editable skill, you bring your own
  provider keys, MIT-licensed. Cursor agent mode is a single-shot in-IDE loop. claude-autopilot    
  sits one layer higher: spec review, implementation dispatch, validation, PR review, release
  workflow, retry-loop progress detection.

  Closest cousins. Aider, OpenHands, SWE-agent. We share the local-CLI plus user's-key philosophy  
  and add the phase pipeline, multi-model role split, risk-tiered review, and the retry-loop
  sameness detector (halts the pipeline when retries make no progress instead of burning the retry 
  budget on attempts going nowhere).                                  

  See it work, with numbers:
  - DEMO.md walks through one autonomous run, 12 minutes wall clock, $2.20 spend, 5 new tests:
    https://github.com/axledbetter/claude-autopilot/blob/master/DEMO.md                            
  - Benchmark: 13/13 production-realistic bugs caught in 38 seconds for $0.21, reproducible:       
    https://github.com/axledbetter/claude-autopilot#benchmark                                      
                                                                                                   
  Happy to dig into any of it.

  Try it in 30 seconds:                                               

    npm install -g @delegance/claude-autopilot                                                     
    claude-autopilot examples              # list 5 starter stacks
    claude-autopilot examples node > spec.md                                                       
    claude-autopilot autopilot spec.md     # ship it                                               
   
  Five bundled stack templates (node, python, fastapi, go-cli, rust-cli) so you don't write your   
  first spec from a blank page.                                       
                                                                                                   
  The strongest credibility signal I can give you: claude-autopilot built itself. Every version of 
  this project that ever shipped, including v7.10.1 today, went through the pipeline you'll see on
  GitHub. Spec, plan, implementation subagents, Codex review, bugbot triage, admin-merge, npm      
  publish. Full commit history and review threads preserved on the repo. No marketing, just the
  receipts.

  I also use it daily on a production codebase. Several hundred thousand lines of code merged per  
  week sustained, with one week peaking over a million. That's gross churn across feature code,
  tests, types, and migrations, mostly via the autopilot pipeline. The CLI is solving real problems
   for me before it ships to anyone else.                             

  What's actually distinctive:

  1. Multi-model role split, by default. Claude writes code, Codex reviews the plan and the diff,  
  Cursor bugbot triages PR findings. Each model gets the job it's actually best at. Sequential by
  default. Opt-in parallel council (claude-autopilot council) dispatches the same prompt to Claude 
  + Codex + Gemini and synthesizes consensus.                         

  2. Every phase is an editable markdown skill. Not a black-box pipeline.                          
  .claude/skills/autopilot/SKILL.md is plain markdown you can read in 5 minutes, audit, edit, swap
  any phase. The risk-tiered review policy (1/2/3 Codex passes by spec risk frontmatter,           
  auto-escalated for auth, multi-tenancy, billing, secrets, migrations, RLS, IAM) lives there as
  plain instructions. Inspectability is the wedge against Devin and Cursor agent mode.

  3. Local CLI, your provider keys. Anthropic, OpenAI, Google, Groq, Ollama-local. The             
  orchestration runs on your machine. Prompts go to whichever models you've configured. For pure
  local-only you need Claude Code itself on a local provider; for most teams the goal is "no hosted
   orchestration plus existing keys."                                 

  Benchmark on a Next.js fixture seeded with 13 production-realistic bugs (SQL injection, missing  
  auth, IDOR, SSRF, open redirect, TOCTOU race, console.log in prod, missing input validation,
  etc): scan caught 13/13 in 38 seconds for $0.21. Fixture and reproduction in the repo.           
                                                                      
  Links:
  https://www.npmjs.com/package/@delegance/claude-autopilot
  https://github.com/axledbetter/claude-autopilot                                                  
   
  I'm Alex, founding eng at Delegance (insurance brokerage platform). Built claude-autopilot for my
   own internal use, open-sourced when it started shipping itself.