💸 django × fintech

Ship fintech on Django with sensible defaults.

Django is a Python workable choice for fintech. GreatCTO auto-detects both — adds the fintech archetype overlay, wires fintech-specific gates, and runs 34 specialist agents around your existing Django workflow.

$ npx great-cto init 💸 See archetype →
What changes when GreatCTO joins your Django project

Detection → overlay → gates → reviewers.

1 · DETECT

Stack + archetype

GreatCTO reads your pyproject.toml / requirements.txt and detects django + fintech archetype from signals: imports, file structure, env vars, README hints.

2 · OVERLAY

Archetype pack

Attaches the fintech archetype overlay: PCI-DSS scope detection, SOX ITGC gates, KYC / AML hooks, idempotency review. Override if your specifics differ; the defaults are sensible for Django-style projects.

3 · GATES

Django-aware reviewers

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.

4 · MEMORY

Cross-project lessons

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).

First 10 minutes

Concrete walkthrough.

$ cd my-django-app && npx great-cto init
✓ scanning manifests… found pyproject.toml
✓ stack: django (Python)
✓ archetype: fintech
⚠ archetype + stack combo is unusual — review overlay manually
✓ 34 agents ready

$ /start "add Stripe subscription endpoint"
▸ architect drafting ARCH-fintech.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.

⚠ Honest caveat

Django (Python) is not a typical fit for fintech. The archetype overlay still attaches, but you may want to override defaults more aggressively. Check the fintech archetype page for the typical stack list and decide if your case is the right tool / right archetype.

Architecture

Every step of the pipeline, transparent.

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 →

Install

Django + GreatCTO in one command.

$ npx great-cto init

Free, MIT, runs locally. Works in Claude Code, Cursor, OpenAI Codex CLI, Aider, and Continue.