GreatCTO reads your Cargo.toml and detects actix + iot-embedded archetype from signals: imports, file structure, env vars, README hints.
Attaches the iot-embedded archetype overlay: OTA strategy, secure boot, ETSI EN 303 645 baseline, watchdog patterns. Override if your specifics differ; the defaults are sensible for Actix-style projects.
qa-engineer runs cargo clippy / cargo test / cargo-tarpaulin; security-officer audits unsafe blocks + dependency tree; performance-engineer reviews allocator patterns.
Bugs you've hit before in other Actix projects (connection-pool exhaustion, ORM N+1 queries, retry storms) — the agent's Step 0 includes the prior detection order. MTTR drops 94 % on second occurrence (methodology).
$ cd my-actix-app && npx great-cto init ✓ scanning manifests… found manifest ✓ stack: actix (Rust) ✓ archetype: iot-embedded ✓ overlay: applied ✓ 34 agents ready $ /start "add OTA update endpoint" ▸ architect drafting ARCH-iot-embedded.md… ▸ pm decomposing into beads tasks… ⚐ gate:plan — your approval needed
Approve → 3 senior-devs run in parallel worktrees → 5 reviewers fan out in parallel → gate:ship → deploy. One real run walked stage-by-stage: /proof.
No black-box "AI does it all" loop. GreatCTO is a deterministic state machine — 8 stages, 22 nodes, 2 human gates. Every node maps to a real agent on GitHub. Inspect the state machine →
$ npx great-cto init
Free, MIT, runs locally. Works in Claude Code, Cursor, OpenAI Codex CLI, Aider, and Continue.