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Claude Code: Production Workflows & Extensions
Practical guides to using Claude Code in production — hooks, MCP servers, plugins, custom skills, and real-world dev workflows.
Claude Code is Anthropic’s AI coding agent, available as a CLI, desktop app, and IDE extension. Out of the box it handles code generation, debugging, and refactoring. With hooks, MCP servers, plugins, skills, and CLAUDE.md configuration, it becomes a customized development tool tailored to your team’s stack and workflows.
The posts below explore how to extend and operate Claude Code beyond its defaults — from configuring extension points to composing them into production development workflows that actually improve throughput.
Topics include hook configuration for pre- and post-action automation, building MCP servers that integrate with your internal tools, writing custom skills for repeatable workflows, structuring CLAUDE.md files for team-wide consistency, and composing these features into development pipelines that reduce friction without sacrificing control.
In previous posts, we’ve covered how the tool-calling loop works, what a production-grade system prompt looks like, and how MCP connects agents to business systems. Those posts describe the architecture of any AI agent. This one narrows the focus to a specific one: Claude Code.
Out of the box, Claude Code is a capable general-purpose coding agent. It reads your files, edits your code, runs your tests, and commits your changes. But it doesn’t know your team’s conventions. It doesn’t know that src/api/ files need input validation, or that every PR needs a changelog entry, or that it should never touch package-lock.json. It doesn’t have access to your Postgres staging database or your Sentry error feed.