AI code generation that ships a full production codebase, not just a snippet

What AI code generation usually means vs what Archiet does

| What you get from most AI code generators | What Archiet generates | |---|---| | A function, component, or module | A complete production codebase (500–3,000 files) | | You wire it into your existing project | The app is already wired — frontend + backend + infra | | Auth is suggested, not implemented | JWT auth in httpOnly cookies, route guards, password hashing, all working | | Database schema is your job | SQLAlchemy models + Alembic migrations, already matching the data model | | You write the OpenAPI spec | OpenAPI 3.1 spec is generated and the routes match it | | Docker is out of scope | Multi-stage Dockerfile + docker-compose for local dev, included | | CI/CD is your job | GitHub Actions workflow: lint → test → build → deploy | | Documentation means comments | docs/decisions/ (ADRs), docs/traceability/, docs/compliance/, docs/security/posture.md |

What gets generated

A standard Archiet generation for a web application includes:

Backend (Flask, FastAPI, Django, NestJS, Laravel, Go, Java, Rails, .NET)

• All entity models with correct field types, foreign keys, and indexes
• Alembic (or framework-native) migration for every model field
• RESTful API routes matching the OpenAPI spec — list, get, create, update, delete, plus search
• Organization-scoped queries on every multi-tenant entity — no cross-tenant data leaks
• JWT auth middleware, bcrypt password hashing, protected route guards
• Integration stubs for Stripe, SendGrid, Slack, Twilio, PostHog — wired where the genome specifies

Frontend (Next.js, React, Vue)

• All pages: dashboard, auth flows (login, register, forgot password, verify email), settings, onboarding
• Route-level authentication middleware
• Typed API client matching the generated spec
• Tailwind CSS + shadcn/ui components

Mobile (React Native / Expo)

• Onboarding walkthrough, auth screens, settings tab
• JWT auth with secure token storage (never AsyncStorage in plaintext)
• EAS config, privacy policy screen, App Store review prompt, OTA update check

Infrastructure

• Multi-stage Dockerfile, docker-compose for local dev
• GitHub Actions CI/CD: lint, test, build, deploy
• Health check endpoints, structured logging

Documentation

• docs/decisions/ — 8–15 ADRs (one per material technical decision)
• docs/traceability/matrix.md — user stories → features → entities → routes → tests
• docs/compliance/ — GDPR DPIA, HIPAA risk assessment, PCI scope statement (when flagged)
• docs/security/posture.md — attack surface, auth controls, pre-launch checklist

Stacks supported

Archiet's AI code generation supports twelve target stacks:

• Python web: Flask + Next.js, FastAPI + React, Django + Next.js
• Node/PHP: NestJS + Next.js, Laravel + Next.js
• Other backend: Go + Chi, Java Spring Boot, Ruby on Rails + Next.js, .NET + Next.js
• Enterprise: Salesforce Apex, SAP CAP, Dynamics 365
• Desktop: Tauri + Rust (cross-platform desktop app)

The same blueprint generates output for the stack you pick. Switching stack means re-generating — the requirements don't change.

Quality scoring

Every generated codebase is scored across five dimensions before delivery:

1. Auth security — cookie flags, token handling, route protection completeness
2. API contract coverage — every route defined in the spec must exist in the code
3. Migration completeness — every model field must have a migration
4. File structure — no missing pages, screens, or config files
5. Mobile compliance — App Store required files present and correct

Score below 80/100 is treated as a failure — the generation is flagged before you download.

How to use it

1. Write a product requirements document (free-form or structured) — or describe your app in plain language
2. Archiet's Blueprint Wizard turns it into a structured genome (entities, user stories, acceptance criteria, integrations)
3. Pick your stack
4. Generate — typical generation takes 45–90 seconds
5. Preview in-browser (CodeSandbox for web, Expo Snack for mobile)
6. Download the ZIP — or use the Code Workbench to edit files before downloading

vs line-by-line code generation tools

Tools like GitHub Copilot, Cursor, and Codeium are excellent at line-by-line suggestions inside an existing codebase. That's a different job. Archiet's AI code generation is for the greenfield moment: when you don't have a codebase yet and you need to go from requirements to a production-ready application.

After you have the Archiet-generated codebase, use Cursor or Copilot inside it for the day-to-day feature work. They're complementary, not competing.

CTA

Try Archiet's AI code generation — free plan, no credit card. Upload your PRD or describe your app, pick your stack, and see the generated codebase in under two minutes.

Start free at archiet.com.