Actix is a Rust workable choice for government / public sector. GreatCTO auto-detects both — adds the gov-public archetype overlay, wires gov-public-specific gates, and runs 34 specialist agents around your existing Actix workflow.
GreatCTO reads your Cargo.toml and detects actix + gov-public archetype from signals: imports, file structure, env vars, README hints.
Attaches the gov-public archetype overlay: FedRAMP authorization scope, FISMA, 508 a11y, CJIS for law-enforcement. 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: gov-public ⚠ archetype + stack combo is unusual — review overlay manually ✓ 34 agents ready $ /start "add public records API" ▸ architect drafting ARCH-gov-public.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.
Actix (Rust) is not a typical fit for government / public sector. The archetype overlay still attaches, but you may want to override defaults more aggressively. Check the gov-public archetype page for the typical stack list and decide if your case is the right tool / right archetype.
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.