Stop being the only person
who can ship.

One config. Every AI-coding tool.

Run npx great-cto adapt --platform all once. The same archetype + compliance gates flow into every assistant your team uses — no re-onboarding, no duplicated rules.

Move fast. Or move safely. Pick one.

— until now.

Three commands. The system does the rest.

No prompt-engineering. No agent-orchestration tutorial. No YAML.

Six views. Real screenshots.
Live updates from your repo.

great-cto board at localhost:3141. Inbox · Kanban · Metrics · Agents · Memory · Public report. Vanilla HTML, zero deps — no Electron, no Tauri, no SaaS.

01 · KANBAN

Five columns. Uniform cards. Inline gate approval.

Gates · Backlog · In Progress · Done · Blocked. Cards are priority-coded, agent-tagged, with inline status / priority edit. ⌘K search across title / id / agent / labels. Live SSE — bd-CLI changes appear in the UI in <1s.

• Filter bar: chip-toggle by agent, priority, label.
• j / k navigation, Enter to open, ? for cheatsheet.
• Click pipeline stage → drill-down to filtered kanban.

02 · METRICS

The numbers your CTO update needs.

Tasks shipped · LLM spend · cost-savings vs FTE · cycle time · QA pass rate · security blocks. 30-day daily-burn chart with budget alerts. A separate Agents tab shows per-agent time, LLM cost, and human-equivalent dollars at $150/hr.

• Hero cards refresh every gate / verdict via SSE.
• Cost panel pulls real plan data from docs/plans/.
• Activity feed shows last 20 verdicts, cost-tagged.

02b · AGENTS

Per-agent cost, time, and human equivalent.

29 specialist agents, each with its own time budget, LLM cost, and tasks-done counter. Compare to a human team at $150/hour and see the multiplier. Activity feed surfaces APPROVED / BLOCKED / FAIL verdicts with the agent that issued them.

03 · INBOX

Pick up where you left off.

Open a session — three columns greet you: In progress (your WIP tasks), Recent verdicts (what your agents finished while you slept), Decisions (every gate approval is logged with reasoning). Stop re-explaining your project to Claude.

• Pending decisions — one-click approve / reject inline.
• P0, blocked, stale (in-progress > 48h) auto-surfaced.
• Append-only ~/.great_cto/decisions.md — query across all your projects.

05 · MEMORY

Four layers. Every Friday smarter.

PROJECT.md (archetype, goals) · lessons.md (per-project retros) · decisions.md (every gate approval with rationale) · verdicts/ (every agent verdict logged). Agents query memory before reading source files — solved problems stay solved.

Twelve independent reviews.
Each finds what the other eleven miss.

Cursor and Copilot run one review pass. We run twelve. Every finding rated P0 / P1 / P2. P0 blocks the gate. You can't accidentally ship a SQL injection.

25 archetypes. Each with its own gates.

We scan your package.json, pyproject.toml, Cargo.toml, README, and code structure. Then we pick the right agent set, security tier, and compliance checklists.

Detection uses heuristics + (when low confidence) an Anthropic Haiku second-opinion call (~$0.001). You can override with --archetype NAME.

"Why not just use Cursor?"

Cursor and Copilot are great editors. They are not SDLC pipelines. Here's what each does — honestly.

We're not an editor — we orchestrate the process around your editor. Use Cursor inside the loop if you want.

Your agents get smarter every Friday.

Cursor forgets your project the moment you close the tab. GreatCTO synthesizes — into a 10–50 KB local memory that travels across sessions, machines, and projects.

$34/month.
That's the whole bill.

GreatCTO is open source (MIT). You pay your own Anthropic API tokens. We don't see them. We don't bill you. Nothing to subscribe to.

Who is this actually for?

30 seconds. No signup.
No credit card.

$ npx great-cto ci ./ \
   --sarif results.sarif

$ npx great-cto mcp

$ npx great-cto serve

The questions everyone asks before installing.