1. Software Development

Guides strategic code modifications to maintain design quality during bug fixes, feature extensions, and refactoring, emphasizing architectural principles.

Automates code quality analysis by reviewing style, patterns, potential bugs, and security basics on file changes and commits.

Automatically creates test scaffolding for new functions and components using Jest, vitest, and Pytest frameworks upon code addition or testing requests.

Standardizes parameter validation in OpenLark Rust SDK, clarifying required field checks, function vs macro usage, and whitespace handling.

Standardizes Feishu open platform API implementation with guidelines for request/response, endpoint constants, and method signatures.

Provides a Clojure-specific AI prompt for development tasks in REPL environments.

Expert Rails code writing and review following DHH's style and architectural principles.

Enforces consistent naming and API structure for OpenLark Rust SDK, resolving conflicts and ensuring semantic clarity in public interfaces.

Validates API implementation coverage by comparing actual code against a predefined list using a Python script.

Reviews Rust SDK code design and public API specifications for consistency, feature gating, and documentation, providing prioritized improvement plans and actionable solutions.

Provides integration testing patterns for APIs, components, and service layers using test databases to validate interactions.

Enables end-to-end type safety in TypeScript applications using Zod, tRPC, and Prisma for robust input validation and type checking.

Provides component patterns and utilities for shadcn/ui, including CVA variants, OKLCH theming, and cn() for building and customizing React components.

Provides unified code linting and formatting with Biome 2.0+, featuring ESLint migration, CI integration, and 421 rules for consistent code quality.

Provides advanced asyncio patterns for Python, including TaskGroup and structured concurrency to build high-performance concurrent services.

Enables reliable event publishing with atomic writes and exactly-once semantics in microservices using the transactional outbox pattern.

Enables asynchronous task processing in Python backends using Celery, ARQ, and Redis for background jobs, queues, and scheduled tasks.

Provides advanced FastAPI configuration for lifespan events, dependency injection, middleware, and Pydantic settings to build robust backend services.

Guides on designing state schemas and implementing state accumulation in LangGraph workflows using Pydantic and TypedDict patterns.

Enables deep codebase exploration using parallel AI agents to locate files, analyze architecture, and navigate repositories efficiently.

Implements event sourcing patterns for state management in event-driven architectures, CQRS, and audit trails.

Provides idempotency patterns for APIs and event handlers to ensure exactly-once semantics and prevent duplicate request processing.

Enables parallel analysis and implementation to fix GitHub issues and close bugs efficiently.

A Python library for building type-safe GraphQL APIs with FastAPI, supporting resolvers, DataLoader, and real-time subscriptions.