GreatCTO turns Claude Code into an SDLC pipeline. Specialist reviewer agents attach automatically when your repo touches voice, fintech, healthcare, robotics, drug discovery, six other regulated industries. Threat models in 45 minutes instead of 40 hours. Named human gates so the auditor gets a tidy evidence package, not a panicked Slack thread.
Your engineering team ships a feature in three days. The compliance setup around it — scope analysis, threat model, paperwork, legal review — takes six weeks and ~$42K in fees.
Most of that six weeks is mechanical: reading a 200-page regulation, mapping it to your stack, drafting a first-pass threat model, wiring evidence collection.
An LLM reads 200 pages of regulation faster than any human can think about it. The judgment calls, regulator relationships, audit defense — those stay human. The reading and templating do not need to.
CLI reads your repo, picks ai-system / fintech / healthcare / robotics / commerce / browser-extension / …, scaffolds PROJECT.md.
voice · fintech · clinical · drug-discovery · robotics · lending · HR-AI · climate · em-fintech · api-platform. Each adds reviewer agents + human gates + EVAL suites + threat model template.
gate:plan, gate:ship, gate:api-contract, gate:bias-audit, gate:hara-signoff — wired into CI before product exists. Auditors love this.
Per-project + per-org memory captures decisions, prevents specialist agents from re-litigating the same trade-off across sessions.
Runs on Claude Code, Cursor, OpenAI Codex CLI, Aider. You pay your own LLM API. No GreatCTO billing.
No SaaS, no vendor lock-in. Telemetry is opt-IN and anonymous. Privacy policy ↗
New compliance packs, reviewer-agent prompts, real telemetry numbers, war stories. No course-selling, no cold pitches. Unsubscribe in one click.
$ npx great-cto init