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Custom Agents Extend GitHub Copilot for SDLC Management
GitHub Copilot is expanding its capabilities to assist engineers in managing the entire software development lifecycle, not just coding. This expansion is made possible through custom agents, which are partner-built or user-created extensions for the Copilot coding agent. Custom agents can run in the terminal, VS Code, or GitHub, and they understand team-specific tools, workflows, and standards. These agents can help with various tasks, such as creating and maintaining high-quality README documentation, scanning for vulnerable dependencies, reviewing schema migrations, integrating A/B tests, and more. Custom agents help keep patterns consistent, stop repeating context, share expertise automatically, and work directly with tools using Model Context Protocol servers. The full catalog of custom agents from partners is available on the GitHub Copilot page, and users can try them with the command `copilot --agent=<agent-name> --prompt "<task>"`. Custom agents shift Copilot from a code-writing assistant to a software building partner tailored to a team's unique needs.
Official Claude Code Compounding Engineering Plugin on GitHub
The official Claude Code compounding engineering plugin is a tool that aims to make each unit of engineering work easier than the previous one. It is a plugin for Claude Code that transforms how planning, building, and reviewing code is done using AI-powered tools designed to systematically improve the development workflow. The plugin follows a three-step workflow: Plan, Work, and Review. 1. Plan: The plugin turns ideas into structured GitHub issues using /compounding-engineering:plan. It researches the codebase, analyzes framework documentation and best practices, creates detailed acceptance criteria and implementation plans, and generates code examples that follow existing patterns. 2. Work: Using /compounding-engineering:work, the plugin executes work plans systematically with isolated worktrees and systematic task tracking. It creates isolated git worktrees for clean development, breaks down plans into trackable todos, executes tasks systematically with continuous validation, and runs tests and quality checks after each change. 3. Review: The plugin performs exhaustive multi-agent code reviews using /compounding-engineering:review. It checks out the PR in an isolated worktree for deep analysis, runs 12+ specialized review agents in parallel, identifies security issues, performance problems, and architectural concerns, and creates trackable todos for every finding. The plugin includes six commands and 17 specialized agents that provide expertise in different areas, such as code review, quality guardians, architecture & patterns, research & analysis, workflow & communication. These agents help ensure that the code is of high quality, secure, performant, and follows best practices and patterns. The plugin aims to make future work easier by documenting patterns, establishing conventions, creating reusable components, refining testing approaches, and improving the development process.
Ruby Gems for General-Purpose AI Agent Systems: SwarmSDK, SwarmCLI, & SwarmMemory
The GitHub repository `swarm`, created by parruda, contains Ruby gems for general-purpose AI agent systems. These gems support automation, research, data processing, customer support, and content creation. The repository includes SwarmSDK, SwarmMemory, and SwarmCLI. SwarmSDK offers single-process orchestration, persistent memory with semantic search, node workflows, and hooks. It is designed for decoupling from Claude Code and features a more efficient, direct method call process, richer features, better control, an interactive REPL, and support for multiple LLM providers. SwarmMemory provides a persistent agent knowledge storage system with semantic search and FAISS indexing. The repository contains extensive documentation in the `docs/v2` directory, including a comprehensive tutorial covering all features of SwarmSDK. In summary, the `swarm` repository by parruda offers Ruby gems for general-purpose AI agent systems, with a focus on SwarmSDK's single-process orchestration and SwarmMemory's persistent memory features. The repository also includes comprehensive documentation and tutorials.
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