Multi-agent code factory. GitHub Issues that write their own code. Claude Code + Codex + Gemini with 3 AI reviewers per PR.
Add a foundry label to a GitHub Issue. Go to sleep. Wake up to a pull request with three AI code reviews, all fixes applied, CI green.
No prompts. No terminals. No babysitting. The issue body IS the spec. The agent figures out the rest.
Early production use across 6 private repos (numbers from internal testing, updated periodically):
| Metric | Value |
|---|---|
| Tasks spawned | 47 |
| Merged successfully | 42 (89%) |
| Average time to merge | 4.2 hours |
| Cost per task | $2-8 |
| Avg review-fix cycles | 3.7 |
| Required human help | 5 (11%) |
Most failures trace back to vague specs, not agent limitations. Fix the spec, re-run, it works.
Hardware: 2019 MacBook Pro 16" (Intel i9, 64GB RAM). Two Gemini Max subscriptions ($200/mo each), Codex, Gemini. ~$400/month total.
GitHub Issue (with `foundry` label)
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Foundry Orchestrator reads the issue body as a spec
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Routes to best agent (Claude Code / Codex / Gemini)
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Creates git worktree + branch
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Spawns agent with the spec as context
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Agent writes code, op
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