Most developers treat AI coding tools like a smarter autocomplete. You type a comment, you get a suggestion, you hit tab to accept. Honestly, that's maybe 10% of what these tools are actually capable of.
For the last several months I've been building a workflow around Claude Code that goes a lot deeper than autocomplete. It's a mix of three things: a custom project config that teaches Claude my team's architecture patterns, custom slash commands that handle multi-step engineering workflows, and MCP integrations that wire Claude into the infrastructure we already use every day.
The payoff has been real. Scaffolding a new feature with the right folder structure, Zod schemas, API routes, hooks, and tests used to eat up about two hours of my day. Now it takes roughly five minutes, and it follows our conventions every single time.
How the pieces fit together:
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