1. Software Development

Identifies unreliable tests in automated test suites to improve test reliability and code quality during development.

Executes Groq's primary workflow for core integration tasks, enabling main feature implementation via Groq API.

Provides production-ready coding patterns for Windsurf SDK integrations in TypeScript and Python, including refactoring guidance and team standardization.

Automatically generates test fixtures for software testing, streamlining test data setup in development environments.

Identifies and prevents common integration mistakes and anti-patterns in Perplexity code to ensure best practices.

Generates CSS module files for scoped component styling in frontend development projects.

Automates the generation of Flask blueprints to organize and modularize backend web application code.

Manages database schema changes via version-controlled migrations for PostgreSQL, MySQL, SQLite, and MongoDB, supporting up/down migrations and safe schema evolution.

Provides prioritized performance optimization advice for frontend, backend, and infrastructure to address bottlenecks and improve speed.

Automates error mapping for API integrations, streamlining debugging and reducing manual configuration during development.

Handles sorting parameter logic in API endpoints, enabling dynamic sorting of query results based on user-defined parameters.

Automatically detects and reports flaky tests in test automation suites, improving test reliability and reducing false positives.

Provides reference architecture for Vast.ai integrations, including best-practice project layout and structure for new applications.

Generates Zustand store boilerplate code for React frontend state management, streamlining setup and configuration.

Detects breaking changes and plans migrations for FireCrawl SDK upgrades, ensuring smooth version transitions.

Automates generation of request validation code for APIs, ensuring data integrity and reducing manual validation errors in backend services.

Analyzes application performance metrics including CPU, memory, and execution time to identify bottlenecks and provide code optimization recommendations.

Guides selection and implementation of Retell AI architecture blueprints, including monolith, service, and microservice patterns for new integrations and migration planning.

Provides production-ready Vercel SDK patterns for TypeScript and Python, enabling efficient integration, refactoring, and team coding standards adherence.

Analyzes code coverage metrics to identify untested code and generate reports, enhancing software quality through comprehensive test coverage assessment.

Analyzes CSS responsive breakpoints to optimize frontend layout across device sizes.

Provides implementation patterns for fault-tolerant Customer.io integrations, including circuit breakers and failure handling strategies.

Builds production-ready GraphQL servers with schema design, resolvers, and subscriptions for API development.

Automates Lighthouse performance testing operations for frontend applications, enabling seamless performance audits and reporting.