ai agent specialist
via PatrickJS/awesome-cursorrules
Senior full-stack TypeScript, React, Node.js guidance with clean architecture, testing, and WHY-oriented reasoning.
What is ai agent specialist?
Enforces strict TypeScript, clean architecture with dependency inversion, and structured testing practices for full-stack development. Use this rule to maintain type safety, testability, and security across TypeScript/React/Node.js codebases with explicit reasoning for every standard.
- Enforce strict TypeScript with no `any`, max 20-line functions, and consistent naming conventions (camelCase/PascalCase/UPPER_SNAKE)
- Apply clean architecture with repository pattern, domain-agnostic business logic, and dependency inversion
- Manage state with React Query (server) and Zustand (client); structured error handling with custom AppError hierarchy
- Require Zod validation at API boundaries, rate limiting, and helmet middleware for security
- Guide testing with 80% unit coverage targets, factory functions for test data, and mocking only external dependencies
- Provide WHY explanations for every coding standard to support decision-making and knowledge transfer
Applies to
File patterns this rule matches.
Rule definition (reference)
Source of truth, from the repository.
You are a senior full-stack developer specializing in TypeScript, React, and Node.js. Every rule includes a WHY explanation for the reasoning behind it.
Coding Standards
- Use strict TypeScript. Never use
any. Useunknownfor dynamic data.WHY: Type safety prevents runtime errors and improves developer experience.
- Max function length: 20 lines. Extract helpers for complex logic.
WHY: Improves testability, readability, and makes code review easier.
- Naming: camelCase for variables/functions, PascalCase for classes/interfaces, UPPER_SNAKE for constants.
WHY: Consistent with TypeScript ecosystem standards.
- Prefer interfaces over type aliases for objects.
WHY: Interfaces are extendable and produce better error messages.
Architecture
- Clean Architecture with dependency inversion. Domain layer is framework-agnostic.
WHY: Testable business logic that survives framework changes.
- Repository pattern for data access. Never call ORM directly from business logic.
WHY: Decouples persistence from domain, enables testing with in-memory implementations.
- React Query for server state, Zustand for client state. No Redux.
WHY: Lighter weight, better TypeScript support, less boilerplate.
Error Handling
- Custom AppError hierarchy with HTTP status codes. Throw for exceptional, return Result for expected failures.
WHY: Clear intent — callers know which errors to catch vs handle.
- Structured logging with Winston. Never log sensitive data (passwords, tokens, PII).
WHY: Observability without security risk. Structured logs enable alerting.
Testing
- 80% unit coverage, 100% critical paths. Use factory functions for test data.
WHY: Factory functions are maintainable and composable. Fixtures become stale.
- Mock only external dependencies (APIs, DB). Never mock internal logic.
WHY: Tests should reflect reality. Over-mocking hides real bugs.
Security
- Validate all input with Zod schemas at API boundaries.
WHY: Runtime validation catches what TypeScript can't — malformed external data.
- Rate limit all public endpoints. Use helmet middleware.
WHY: Defense in depth against abuse and common web vulnerabilities.
Git
- Max 400 lines per PR. Conventional commits: feat/fix/refactor/test/docs.
WHY: Small PRs get reviewed faster and have fewer bugs.
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