Coding Agent Concepts
This section covers fundamental concepts for working effectively with AI coding agents. Whether you're new to coding agents or looking to optimize your workflow, these guides will help you understand the underlying principles and features.
What Are Coding Agents?
Coding agents are AI-powered assistants that help with software development tasks. Unlike simple code completion tools, coding agents can:
- Understand context - Read files, explore codebases, and understand project structure
- Execute actions - Run commands, create files, and make code changes
- Iterate on solutions - Debug issues, refine implementations, and respond to feedback
- Use external tools - Connect to APIs, databases, and other services via MCP servers
Topics Covered
| Topic | Description |
|---|---|
| Context Window | Understanding token limits and managing context effectively |
| Project Instructions (AGENTS.md) | Project-specific instructions for consistent agent behavior |
| Subagents | Specialized agents for modular, reliable workflows |
| Skills & Plugins | Custom commands and reusable functionality |
| Agent Frameworks | Structured approaches like RALPH, GSD, and BMAD |
| MCP Servers | Connecting agents to external tools and services |
| Hooks | Lifecycle scripts for automation and validation |
Getting the Most from Coding Agents
To maximize productivity with coding agents:
- Keep tasks focused - One behavior change, one PR-sized diff
- Provide clear context - Use project instructions and well-structured prompts
- Manage context window - Clear or compact when starting new tasks
- Leverage automation - Set up hooks, skills, and MCP servers for repetitive work
- Iterate and refine - Add learnings to your project instructions as you discover what works
- Use frameworks - Adopt structured approaches for complex, multi-phase work