# AI Agentic Development | React Router Supabase Turbo

> Configure Claude Code, Cursor, Windsurf, and other AI coding assistants to work effectively with the React Router Supabase Turbo SaaS Starter Kit.

*Canonical: https://makerkit.dev/docs/react-router-supabase-turbo/installation/ai-agents*

---

The kit ships with pre-configured agent rules for Claude Code, Cursor, Windsurf, Codex, and Gemini. These rules teach AI agents the codebase patterns, monorepo structure, and MakerKit conventions so they generate code that fits your project.

{% sequence title="AI Agent Setup" description="Get AI agents working with your MakerKit codebase." %}

[Understand the Agent Files](#agent-configuration-files)

[Configure Your Editor](#editor-configuration)

[Add the MCP Server](#mcp-server-optional)

[Customize Rules for Your App](#customizing-rules)

{% /sequence %}

## Agent Configuration Files

MakerKit uses a hierarchical system of instruction files. Global rules live at the project root, and package-specific rules live in subdirectories.

### File Locations

| File | Purpose | Used By |
|------|---------|---------|
| `AGENTS.md` | Primary agent instructions | Cursor, Windsurf |
| `CLAUDE.md` | Claude-specific instructions | Claude Code |
| `.gemini/GEMINI.md` | Gemini instructions | Gemini |

### Hierarchical Structure

AI agents read instructions from multiple files based on context. When you work in `apps/web`, the agent reads:

1. Root `AGENTS.md` (global patterns, commands, tech stack)
2. `apps/web/AGENTS.md` (route organization, component patterns)
3. `apps/web/supabase/AGENTS.md` (database migrations, RLS policies)

This hierarchy means agents get more specific instructions as they work deeper in the codebase.

```
AGENTS.md                          # Global: tech stack, commands, patterns
├── apps/web/AGENTS.md             # App: routes, components, config files
│   ├── apps/web/supabase/AGENTS.md    # Database: schemas, migrations, RLS
│   └── apps/web/app/admin/AGENTS.md   # Admin: super admin features
├── packages/ui/AGENTS.md          # UI: components, design system
├── packages/supabase/AGENTS.md    # Supabase: clients, auth, types
├── packages/features/AGENTS.md    # Features: feature packages
```

### What Agents Learn

The root `AGENTS.md` teaches agents:

- **Tech stack**: React Router 8, React 19, Supabase, Tailwind CSS 4, Turborepo
- **Multi-tenant architecture**: Personal accounts vs team accounts, account_id foreign keys
- **Essential commands**: `pnpm dev`, `pnpm typecheck`, `pnpm supabase:web:reset`
- **Authorization**: RLS enforces access control, admin client bypasses RLS

Package-specific files add context for that area:

```markdown
# packages/supabase/AGENTS.md

## Client Usage

### Server Components (Preferred)
import { getSupabaseServerClient } from '@kit/supabase/server-client';
const client = getSupabaseServerClient();
// RLS automatically enforced

### Admin Client (Use Sparingly)
import { getSupabaseServerAdminClient } from '@kit/supabase/server-admin-client';
// CRITICAL: Bypasses RLS - validate manually!
```

## Editor Configuration

### Claude Code

Claude Code reads `CLAUDE.md` files automatically. The root file references `@AGENTS.md` to include those instructions.

No configuration needed. Start Claude Code in your project directory:

```bash
claude
```

Claude Code discovers and reads the instruction files on startup.

### Cursor

Cursor reads `AGENTS.md` files automatically when you open a project. The agent instructions appear in context when you use Cursor's AI features.

For the best experience:

1. Open the project root in Cursor (not a subdirectory)
2. The agent rules load automatically
3. Use Cmd+K or the chat panel to interact with the agent

### Windsurf

Windsurf uses the same `AGENTS.md` files as Cursor. Open your project and the rules apply automatically.

### Codex

Codex reads `AGENTS.md` files. Open the project root and the agent instructions apply to generated code.

### Gemini

Gemini reads from `.gemini/GEMINI.md`. This file points to the `AGENTS.md` files:

```markdown
# .gemini/GEMINI.md

- Check for the presence of AGENTS.md files in the project workspace
- There may be additional AGENTS.md in sub-folders with additional specific instructions
```

## MCP Server (Optional)

The Makerkit MCP Server gives AI agents additional tools for working with the codebase. See the [MCP Server documentation](./mcp) for setup instructions.

MCP tools help agents:

- Understand the project structure
- Navigate between related files
- Apply MakerKit-specific patterns

## Customizing Rules

The default rules cover MakerKit patterns. Add your own rules for application-specific logic.

### Adding Business Logic Rules

Create or edit `AGENTS.md` files to include your domain knowledge:

```markdown
# apps/web/AGENTS.md (add to existing file)

## Business Logic

### Subscription Tiers
- Free: 1 team member, 3 projects
- Pro: 10 team members, unlimited projects
- Enterprise: Unlimited everything, SSO

### Project Limits
Check limits before creating projects:
- Use `checkProjectLimit(accountId)` from `~/lib/server/projects`
- Returns { allowed: boolean, current: number, limit: number }

### Naming Conventions
- Projects use kebab-case slugs: "my-project-name"
- Team accounts use slugs, not IDs, in URLs
```

### Adding Feature Flags

Document which features are gated:

```markdown
## Feature Flags

Check `config/feature-flags.config.ts` for current flags:
- `enableTeamCreation`: Users can create teams
- `enableBilling`: Subscription billing enabled
- `enableAI`: AI features available

Use in components:
import { useFeatureFlags } from '@kit/shared/feature-flags';
const { enableAI } = useFeatureFlags();
```

## Claude Code Directory Structure

Claude Code uses a `.claude/` directory for additional configuration:

```
.claude/
├── agents/               # Custom agent definitions
│   └── code-quality-reviewer.md
├── commands/             # Slash commands
│   └── feature-builder.md
├── evals/                # Evaluation scripts
├── skills/               # Reusable skills
│   ├── playwright-e2e/
│   ├── postgres-expert/
│   ├── react-form-builder/
│   └── server-action-builder/
└── settings.local.json   # Local permissions (git-ignored)
```

## Built-in Skills

The kit includes skills for Claude Code that provide specialized guidance for common tasks.

{% callout title="Skills require explicit invocation" %}
Skills don't activate automatically. Type `/skill-name` at the start of your message when you need specialized guidance.
{% /callout %}

| Skill | Command | Purpose |
|-------|---------|---------|
| Postgres & Supabase Expert | `/postgres-supabase-expert` | Database schemas, RLS policies, migrations, PgTAP tests |
| React Form Builder | `/react-form-builder` | Forms with Zod validation and Shadcn UI |
| Playwright E2E | `/playwright-e2e` | End-to-end test patterns |

### Using Skills

Invoke a skill by typing its command at the start of your message:

```
/postgres-supabase-expert Create a projects table with RLS policies for team access
```

```
/server-action-builder Create an action to update user settings
```

### Feature Builder Command

The `/feature-builder` command orchestrates multiple skills for end-to-end feature implementation:

```
/feature-builder Add a projects feature with CRUD operations
```

This command guides you through:
1. Database schema with `/postgres-supabase-expert`
3. Forms with `/react-form-builder`

## Adding External Skills

The [Agent Skills](https://github.com/vercel-labs/agent-skills) project provides additional skills you can install:

```bash
npx add-skill vercel-labs/agent-skills
```

Available skills:

- **[react-best-practices](https://vercel.com/blog/introducing-react-best-practices)**: Performance optimization guidelines from Vercel Engineering (40+ rules across 8 categories)
- **web-design-guidelines**: UI audit with accessibility checks (100+ rules covering accessibility, performance, UX)
- **vercel-deploy-claimable**: Deploy directly from conversations with live preview URLs

## Verification Workflow

Agents are instructed to run verification after making changes:

```bash
pnpm typecheck        # Must pass
pnpm lint:fix         # Auto-fix issues
pnpm format:fix       # Format code
```

If an agent skips verification, remind it:

```
Run typecheck and lint:fix to verify the changes
```

## Common Patterns Agents Know

### Database Queries

Agents prefer Server Components with the standard client:

```typescript
import { getSupabaseServerClient } from '@kit/supabase/server-client';

async function ProjectList() {
  const client = getSupabaseServerClient();
  const { data } = await client.from('projects').select('*');
  // RLS enforced automatically
}
```

## Best Practices for Using AI Agents

After extensive use of AI agents with MakerKit, we've identified what works:

### Keep AGENTS.md Files Focused

Long instruction files cause context drift where agents forget earlier rules. Keep each file under 500 lines. Split by concern rather than cramming everything into the root file.

### Use Rules as a Router

Rather than documenting every API, tell agents where to find things:

```markdown
## Where to Look
- Need a UI component? Check `packages/ui/src/` first
- Building a form? See `packages/ui/src/shadcn/form.tsx` for patterns
- Adding a Server Action? Reference `apps/web/app/home/_lib/server/`
```

Agents are excellent at reading code once they know where to look.

### Explicit Constraints Beat Implicit Conventions

"Always use `enhanceAction`" works better than "We prefer using enhanceAction for most cases." Agents follow explicit rules; they guess at preferences.

### Let Agents Learn from Your Codebase

With a consistent codebase like MakerKit, agents pick up patterns automatically. You don't need to document that Server Components fetch data or that forms use Zod. Focus your rules on project-specific decisions and gotchas.

## Troubleshooting

### Agent Ignores Rules

1. Verify files exist at the expected locations
2. Check file names match exactly (case-sensitive)
3. Restart your editor to reload configuration

### Agent Generates Wrong Patterns

Add explicit examples to your `AGENTS.md` when you notice the agent is generating code that doesn't match your patterns.

### Agent Misunderstands Structure

Add a quick reference section:

```markdown
## Quick Reference

- App routes: `apps/web/app/`
- Shared components: `packages/ui/src/`
- Database schemas: `apps/web/supabase/schemas/`
- Feature packages: `packages/features/*/`
```

## Next Steps

- Configure the [MCP Server](./mcp) for enhanced agent capabilities
- Add [LLM rules](./llms) for additional context from documentation
- Review [conventions](./conventions) to understand the patterns agents follow

{% faq
   title="Frequently Asked Questions"
   items=[
     {"question": "Which AI coding tool works best with MakerKit?", "answer": "Claude Code and Cursor have the deepest integration through AGENTS.md and CLAUDE.md files. Both support the hierarchical instruction system and built-in skills. Choose based on your preferred workflow."},
     {"question": "Do I need the MCP Server?", "answer": "No, but it helps. The MCP Server gives agents additional tools for understanding the codebase. Agents work without it, but may need more guidance for complex tasks."},
     {"question": "How do I update agent rules when I change my app?", "answer": "Edit the relevant AGENTS.md file. Changes apply immediately to new agent sessions. Document your domain logic, API patterns, and feature flags so agents generate code that fits your application."},
     {"question": "Can I use multiple AI tools on the same project?", "answer": "Yes. The instruction files work across tools. AGENTS.md covers Cursor, Windsurf, and Codex. CLAUDE.md adds Claude-specific context. You can switch between tools without reconfiguring."},
     {"question": "Why does the agent generate code that doesn't match my patterns?", "answer": "Add explicit examples to your AGENTS.md showing correct and incorrect patterns. Agents learn from examples better than abstract rules. Include the specific imports, function signatures, and patterns you want."},
   ]
/%}