Express is a TypeScript workable choice for cms / content platform. GreatCTO auto-detects both β adds the cms archetype overlay, wires cms-specific gates, and runs 83 specialist agents around your existing Express workflow.
GreatCTO reads your package.json and detects express + cms archetype from signals: imports, file structure, env vars, README hints.
Attaches the cms archetype overlay: archetype-specific reviewer + compliance gates. Override if your specifics differ; the defaults are sensible for Express-style projects.
qa-engineer runs tsc --strict / eslint / vitest --coverage; security-officer checks for prototype pollution + XSS sinks; performance-engineer reviews bundle size + cold-start times.
Bugs you've hit before in other Express projects (connection-pool exhaustion, ORM N+1 queries, retry storms) β the agent's Step 0 includes the prior detection order. MTTR drops 94 % on second occurrence (methodology).
$ cd my-express-app && npx great-cto init β scanning manifestsβ¦ found package.json β stack: express (TypeScript) β archetype: cms β archetype + stack combo is unusual β review overlay manually β 83 agents ready $ /start "add cms feature" βΈ architect drafting ARCH-cms.mdβ¦ βΈ pm decomposing into beads tasksβ¦ β gate:plan β your approval needed
Approve β 3 senior-devs run in parallel worktrees β 5 reviewers fan out in parallel β gate:ship β deploy. One real run walked stage-by-stage: /proof.
This is the shape of what senior-dev drafts for "cms feature" β auth first, schema validation, and the audit line the cms reviewer requires before gate:ship opens.
// src/routes/cms.ts β drafted by senior-dev, reviewed by 5 agents
import { Router } from 'express';
import { requireAuth } from '../middleware/auth'; // security-officer: auth first
import { auditLog } from '../lib/audit'; // gate:cms: every decision logged
export const router = Router();
router.post('/cms', requireAuth, async (req, res) => {
const parsed = schema.parse(req.body); // qa-engineer: zod schema enforced
const result = await handle(parsed, req.user);
await auditLog({ who: req.user.id, what: 'cms feature', confidence: result.confidence });
res.json(result);
});
cms overlay.Content platforms with schema.org structured data.
UGC sites with DMCA safe-harbor and moderation.
Publishing flows tuned for Core Web Vitals.
Express (TypeScript) is not a typical fit for cms / content platform. The archetype overlay still attaches, but you may want to override defaults more aggressively. Check the cms 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 β 8 stages, 22 nodes, 2 human gates. Every node maps to a real agent on GitHub. Inspect the state machine β
$ npx great-cto init
Free, MIT, runs locally. Built as a Claude Code plugin β install with one command.
Eight stages, two human gates, four memory layers. Why this exact shape, and what I tried that didn't work.
One run, one feature, from prompt to merged PR. Time, cost, and gate-by-gate breakdown β no marketing math.
Regex vs LLM-based archetype detection, the false-positive count, and why I keep rejecting the obvious fix.
The bottleneck in agentic SDLC isn't model quality β it's process governance. Here's the state machine that closes the gap.