Django is a Python natural fit for healthcare. GreatCTO auto-detects both — adds the healthcare archetype overlay, wires healthcare-specific gates, and runs 34 specialist agents around your existing Django workflow.
GreatCTO reads your pyproject.toml / requirements.txt and detects django + healthcare archetype from signals: imports, file structure, env vars, README hints.
Attaches the healthcare archetype overlay: HIPAA gates, BAA tracking, PHI encryption review, 21 CFR Part 11 audit-trail. Override if your specifics differ; the defaults are sensible for Django-style projects.
qa-engineer runs mypy / ruff / pytest --cov; security-officer scans for SQL injection patterns common in ORMs (SQLAlchemy, Django ORM); performance-engineer profiles async patterns for I/O contention.
Bugs you've hit before in other Django 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-django-app && npx great-cto init ✓ scanning manifests… found pyproject.toml ✓ stack: django (Python) ✓ archetype: healthcare ✓ overlay: applied ✓ 34 agents ready $ /start "add HL7 patient resource endpoint" ▸ architect drafting ARCH-healthcare.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.