AI/MLJanuary 9, 2026

The Ultimate AI-Assisted Development Guide: AGENTS.md, Workflows & Best Practices

Master AI-assisted development with comprehensive AGENTS.md templates, workflow configurations, prompt engineering, and battle-tested practices from top engineering teams.

DT

Dev Team

25 min read

#ai-assisted-development#agents-md#github-copilot#cursor#claude#productivity#best-practices
The Ultimate AI-Assisted Development Guide: AGENTS.md, Workflows & Best Practices

Introduction: The AI-Assisted Development Revolution

AI-assisted development has fundamentally changed how we write code. With tools like GitHub Copilot, Cursor, and Claude, developers can achieve unprecedented productivity - but only when used correctly. This guide provides battle-tested practices, templates, and configurations to maximize your effectiveness.

The AGENTS.md File: Your AI's Operating Manual

The AGENTS.md (or .github/copilot-instructions.md, .cursorrules) file is the most important configuration for AI-assisted development. It tells your AI assistant how to behave in your specific codebase.

Complete AGENTS.md Template

Create this file in your repository root:

Markdown
# AI Agent Instructions

## Project Overview
This is a [Next.js/React/Node.js] application for [purpose].
- **Stack**: TypeScript, React 18, Next.js 15, TailwindCSS, Prisma
- **Architecture**: [Monolith/Microservices/Serverless]
- **Testing**: Jest, Playwright, React Testing Library

## Code Style & Conventions

### TypeScript
- Use strict mode always
- Prefer `interface` over `type` for object shapes
- Use `const` assertions for literal types
- Never use `any` - use `unknown` and narrow

### React
- Functional components only, no class components
- Use named exports, not default exports
- Colocate component styles in same directory
- Component file structure: ComponentName/index.tsx, styles.css, types.ts

### Naming
- Components: PascalCase (UserProfile.tsx)
- Hooks: camelCase with "use" prefix (useAuth.ts)
- Utils: camelCase (formatDate.ts)
- Constants: SCREAMING_SNAKE_CASE

## File Structure
\`\`\`
src/
├── app/           # Next.js app router pages
├── components/    # Reusable UI components
│   └── ui/        # Primitive components (Button, Input)
├── hooks/         # Custom React hooks
├── lib/           # Utility functions and clients
├── types/         # TypeScript type definitions
└── styles/        # Global styles
\`\`\`

## Patterns to Follow

### API Routes
\`\`\`typescript
// Always validate input with Zod
import { z } from 'zod';

const schema = z.object({
  email: z.string().email(),
  name: z.string().min(1).max(100)
});

export async function POST(request: Request) {
  const body = await request.json();
  const validated = schema.parse(body);
  // ... handler logic
}
\`\`\`

### Error Handling
\`\`\`typescript
// Use Result pattern for operations that can fail
type Result<T, E = Error> = 
  | { success: true; data: T }
  | { success: false; error: E };

async function fetchUser(id: string): Promise<Result<User>> {
  try {
    const user = await db.user.findUnique({ where: { id } });
    if (!user) return { success: false, error: new Error('Not found') };
    return { success: true, data: user };
  } catch (error) {
    return { success: false, error: error as Error };
  }
}
\`\`\`

### Database Queries
\`\`\`typescript
// Always use transactions for multi-step operations
await prisma.$transaction(async (tx) => {
  await tx.order.create({ data: orderData });
  await tx.inventory.update({ where: { id }, data: { quantity: { decrement: 1 } } });
});
\`\`\`

## Anti-Patterns to Avoid

❌ Never commit secrets or API keys
❌ Don't use `any` type
❌ Avoid mutation in reducers/state
❌ Don't fetch data in useEffect without cleanup
❌ Never ignore TypeScript errors with @ts-ignore
❌ Don't use inline styles, use TailwindCSS classes

## Testing Requirements

- All new features require tests
- Minimum 80% coverage for new code
- Test file location: adjacent to source (`Component.test.tsx`)
- Use `describe` blocks for grouping related tests

## Security Guidelines

- Validate all user input server-side
- Use parameterized queries (Prisma handles this)
- Sanitize HTML output to prevent XSS
- Implement rate limiting on public endpoints
- Never expose internal errors to clients

## Documentation

- All exported functions need JSDoc comments
- Complex logic requires inline comments explaining WHY
- Update README.md when adding new features
- Include example usage in component docs

AGENTS.md for Different Project Types

#### For a REST API Project

Markdown
# API Agent Instructions

## API Design
- Follow RESTful conventions
- Use plural nouns for resources: /users, /orders
- Version APIs in URL: /v1/users
- Return consistent error format

## Response Format
\`\`\`json
{
  "data": {},
  "meta": { "requestId": "..." },
  "error": null
}
\`\`\`

## Authentication
- JWT tokens in Authorization header
- Refresh tokens in HTTP-only cookies
- All endpoints require auth except /auth/*

#### For a CLI Tool

Markdown
# CLI Agent Instructions

## Command Structure
- Use commander.js for argument parsing
- Subcommand pattern: tool <command> [options]
- Always include --help and --version

## Output
- Use chalk for colored output
- Errors go to stderr
- Machine-readable output with --json flag
- Progress with ora spinners

Workflow Configurations

GitHub Copilot Workspace Settings

JSON
// .vscode/settings.json
{
  "github.copilot.enable": {
    "*": true,
    "markdown": true,
    "plaintext": false,
    "yaml": true
  },
  "github.copilot.advanced": {
    "inlineSuggestCount": 3,
    "listCount": 10
  }
}

Cursor Rules File

YAML
# .cursorrules
project_type: nextjs
language: typescript
style_guide: airbnb
test_framework: jest
always_include:
  - Use TypeScript strict mode
  - Prefer functional components
  - Use TailwindCSS for styling
never_do:
  - Use any type
  - Create class components
  - Use var keyword

Best Practices for AI-Assisted Development

1. Write Intent-Rich Comments

TypeScript
// ❌ Bad - no context
// Sort the array

// ✅ Good - clear intent
// Sort users by creation date (newest first) for dashboard display
// Handle null dates by putting them at the end

2. Provide Type Context

TypeScript
// ❌ Bad - AI doesn't know the shape
function processData(data) {
  // ...
}

// ✅ Good - AI understands the structure
interface UserStats {
  totalOrders: number;
  totalSpent: number;
  lastOrderDate: Date | null;
}

function calculateLoyaltyScore(stats: UserStats): number {
  // AI can now make intelligent suggestions
}

3. Use Test-First Development

TypeScript
// Write the test first, let AI implement
describe('calculateDiscount', () => {
  it('should apply 10% discount for orders over $100', () => {
    expect(calculateDiscount(150)).toBe(15);
  });

  it('should apply 20% discount for VIP customers', () => {
    expect(calculateDiscount(100, { isVIP: true })).toBe(20);
  });

  it('should not apply discount for orders under $50', () => {
    expect(calculateDiscount(40)).toBe(0);
  });
});

// Now ask AI to implement calculateDiscount

4. Incremental Prompting

TypeScript
// Step 1: Define the interface
// "Create a UserService interface with CRUD operations"

// Step 2: Implement one method
// "Implement the createUser method with validation"

// Step 3: Add error handling
// "Add proper error handling and logging"

// Step 4: Add tests
// "Generate comprehensive tests for createUser"

5. Code Review AI Suggestions

Always review AI-generated code for:

  • Security: SQL injection, XSS, secrets exposure
  • Performance: N+1 queries, memory leaks
  • Edge cases: Null handling, empty arrays
  • Business logic: Does it match requirements?
  • Advanced Techniques

    Context Windows Optimization

    TypeScript
    // Keep relevant context visible to AI
    // ✅ Good: Related types and functions in same file or nearby
    
    // types.ts (open in editor)
    export interface Order {
      id: string;
      items: OrderItem[];
      total: number;
    }
    
    // orderService.ts (actively editing)
    // AI can see Order type and suggest appropriate handling

    Multi-File Operations

    For changes spanning multiple files:

    Markdown
    // Prompt pattern for multi-file changes
    "I need to add a new 'status' field to the Order entity:
    1. Add status enum: 'pending' | 'processing' | 'shipped' | 'delivered'
    2. Update Prisma schema
    3. Create migration
    4. Update OrderService to handle status transitions
    5. Add status filter to orders API endpoint
    6. Update frontend OrderList to display status"

    Self-Documenting Code Generation

    TypeScript
    // Prompt: "Create a rate limiter with JSDoc documentation"
    
    /**
     * Rate limiter using token bucket algorithm
     * @param maxRequests Maximum requests allowed in the window
     * @param windowMs Time window in milliseconds
     * @returns Middleware function for Express
     * @example
     * app.use('/api', rateLimiter(100, 60000)); // 100 req/min
     */
    export function rateLimiter(maxRequests: number, windowMs: number) {
      // Implementation...
    }

    Project-Specific Configurations

    Plain Text
    .agent/
    ├── AGENTS.md           # Main instructions
    ├── workflows/
    │   ├── new-feature.md  # How to add features
    │   ├── bug-fix.md      # Bug fixing workflow
    │   └── refactor.md     # Refactoring guidelines
    ├── templates/
    │   ├── component.tsx   # Component template
    │   ├── hook.ts         # Hook template
    │   └── api-route.ts    # API route template
    └── examples/
        ├── good-code.ts    # Examples of desired patterns
        └── bad-code.ts     # Anti-patterns to avoid

    Workflow File Example

    Markdown
    # workflows/new-feature.md
    
    ## Adding a New Feature
    
    ### Steps
    1. Create feature branch from main
    2. Add types in /types directory
    3. Create component structure
    4. Implement business logic
    5. Add tests (minimum 80% coverage)
    6. Update documentation
    7. Create PR with description
    
    ### PR Template
    - What: Brief description
    - Why: Business justification
    - How: Technical approach
    - Tests: What's covered
    - Screenshots: If UI changes

    Measuring AI Development Effectiveness

    Metrics to Track

    MetricTargetHow to Measure Acceptance Rate>60%% of suggestions accepted Time Saved30%+Compare similar tasks Bug Introduction<5%Bugs from AI code vs manual Code QualityMaintainedLinting, reviews

    Continuous Improvement

    Markdown
    // Weekly Review Template
    ## AI Assistance Review
    
    ### What worked well?
    - Feature X implemented 2x faster
    - Boilerplate generation excellent
    
    ### What didn't work?
    - Complex business logic needed heavy editing
    - Configuration files often wrong
    
    ### Improvements for next week
    - Add more examples to AGENTS.md
    - Create template for config files

    Conclusion

    AI-assisted development is a skill that compounds over time. The key is:

  • Invest in configuration: A well-crafted AGENTS.md pays dividends
  • Be intentional: Clear context leads to better suggestions
  • Stay critical: AI is a tool, not a replacement for thinking
  • Iterate on prompts: Learn what works for your codebase
  • Share knowledge: Document successful patterns for your team
  • The developers who master AI-assisted development will be significantly more productive than those who don't. Start with the templates in this guide and customize them for your specific needs.

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