Stage 3: AI Coder

AI isn't an assistant anymore — it's your co-pilot. You've developed workflows, you know when to trust the output and when to verify, and you're shipping features in hours that used to take days. You're not just using AI. You're co-creating with it.

At the AI Coder stage, you've internalized the feedback loop. You write clear instructions, you review AI output with a critical eye, and you've built project documentation (CLAUDE.md, .cursorrules) that gives AI deep context about your codebase.

You're now tackling bigger challenges: building repeatable workflows instead of ad-hoc prompts, using AI for debugging and architecture decisions, and starting to explore agentic tools that can take multi-step actions autonomously.

Your goals at this stage: build a personal AI toolchain, develop systematic debugging workflows, and start letting AI agents handle more complex tasks with less hand-holding.