Access Gutenberg block development standards and best practices to generate compliant code following security and performance guidelines for WordPress projects.
MIT
150,391 tools. Last updated 2026-05-28 05:00
"AI Programming with Standards-Driven Development" matching MCP tools:
- Validate code against quality standards including security, architecture, and style for multiple programming languages to ensure compliance with best practices.MIT
- Retrieve, update, or remove development standards to enforce consistent coding practices across teams.MIT
- Begin a Test-Driven Development workflow: define a feature, write a failing test (Red), implement code to pass (Green), then refactor (Refactor). Supports custom test frameworks and acceptance criteria.MIT
- Retrieve quality standards for programming languages and frameworks to ensure code follows best practices, security protocols, and architectural patterns.MIT
- Chat with GitHub Copilot AI models to get programming assistance, code explanations, and reviews by providing messages and optional context.MIT
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- Execute AI-driven security scans with parallel tool selection to identify vulnerabilities on specified targets using configurable objectives.MIT
- Access API communication standards for React Native development to implement consistent and reliable data exchange in mobile applications.
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- Apply programming paradigms to solve coding problems by selecting approaches like functional, object-oriented, or reactive programming for structured solutions.
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- Generate optimal DFS lineups using linear programming for NBA, NFL, MLB, or NHL. Apply cash game, tournament, or balanced strategies with player constraints and stacking preferences to maximize projected points within salary caps.MIT
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- Initialize a Zetrix smart contract development environment with project structure, testing framework, and utilities for blockchain application development.MIT
- Analyze project structure to generate reports on dependencies, compliance, and organization for AI-driven naming standards.MIT
- Verify AI access permissions for specific folders in microservices architecture to ensure compliance with naming standards and security protocols.MIT
- Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.MIT