An AI-assisted full-stack workflow that doesn't get messy

Most AI-assisted projects don't fail because the model is bad. They fail because the architecture is fuzzy, the rules aren't written down, prompts are too big, and nobody is documenting what shipped. This guide is the workflow we use to keep that from happening.

§Before you start

AI coding tools work best when the architecture is clear, the rules are structured, the prompts are focused, and the development is iterative. They fail when you ask them to do everything at once.

• ●Build feature-by-feature.
• ●Use vertical slices (DB → API → UI in one go).
• ●Maintain strict project rules.
• ●Document continuously — even one line per slice.
• ●Keep prompts focused on a single outcome.

§Recommended stacks

Pick one stable stack and stay consistent. The exact choice matters less than the discipline of not switching mid-build.

Frontend

• 01

  Next.js

  App Router, RSC, the default for new SaaS work.
• 02

  Tailwind CSS

  Utility-first styling AI tools handle well.
• 03

  shadcn/ui

  Copy-in components, easy to extend.
• 04

  Tremor

  Dashboards and charts on top of Tailwind.

Backend

• 01

  FastAPI

  Python, typed, great for AI-heavy APIs.
• 02

  Convex

  Reactive backend with realtime built in.
• 03

  Laravel

  If your team is already in PHP.

Database

• 01

  PostgreSQL

  Default for almost everything.
• 02

  MongoDB

  When the data really is document-shaped.
• 03

  Supabase

  Postgres + auth + storage in one place.

Auth

• 01

  Clerk

  Drop-in auth with great Next.js DX.
• 02

  Auth.js

  Open-source, BYO providers.
• 03

  Supabase Auth

  Bundled with Supabase Postgres.

AI coding tools

• 01

  Cursor

  AI-first editor with codebase context.
• 02

  Claude Code

  Terminal-first agent for repo-wide work.
• 03

  Antigravity

  AI-assisted workspace + MCP integration.
• 04

  Windsurf

  Agentic editor from Codeium.
• 05

  Trae

  Lightweight AI IDE.

UI-first / prototyping tools

• 01

  Lovable

  Generate full UIs from prompts.
• 02

  v0

  Vercel's generative React UI tool.
• 03

  Bolt.new

  Full-stack prototypes in the browser.
• 04

  Figma Make

  Generative design inside Figma.

Boilerplates

• 01

  Taxonomy

  Next.js + shadcn reference build.
• 02

  ShipFast

  Paid Next.js SaaS starter.
• 03

  Wasp

  Declarative full-stack framework.

§Step 1 — Lock the foundation

Before generating any code, write down the stack, the database, the auth provider, the UI library, and the folder structure. Pin them.

Frontend:  Next.js + Tailwind + shadcn/ui
Backend:   FastAPI
Database:  PostgreSQL
Auth:      Clerk

§Step 2 — Write AI rules

AI coding tools need explicit project rules or your code quality drifts, the folder structure goes feral, and APIs become inconsistent. Drop a .cursor/rules/ folder at the repo root and seed it with files for naming, styling, APIs, project context, error handling, database, and auth.

mkdir -p .cursor/rules
touch .cursor/rules/{naming,styling,api-conventions,project-context,error-patterns,database-rules,auth-rules}.mdc

Example rule files

- Use PascalCase for components
- Use camelCase for variables
- Use kebab-case for folders
- Use descriptive filenames

- Always use async/await
- Validate all inputs (Zod)
- Never trust frontend data
- Use consistent API response shapes

§Step 3 — Generate a PRD

The PRD becomes the source of truth for developers, AI tools, architecture, and feature planning. A good PRD prevents the AI from inventing.

• ●User roles
• ●Complete user flows
• ●Entities + permissions
• ●Validations + error states
• ●Edge cases
• ●UI behavior + API behavior
• ●Admin functionality
• ●Mobile behavior
• ●Integrations

§Step 4 — Vertical slice plan

Never build the whole app at once. Each slice goes Database → Backend logic → API → Frontend UI → Validation → Testing. Start with auth, then core CRUD, then advanced workflows.

1. Authentication
2. User Profile CRUD
3. Dashboard
4. Payments
5. Notifications
6. Admin Panel