How to work with AI agents that read your codebase, make decisions, and ship code autonomously. The L3 shift from directing to supervising.
L2 tools build prototypes. L3 tools ship production code. The gap between them is real engineering: security, authentication, data integrity, error handling. Most people stall here.
You define "done." The agent figures out how. You review outcomes, not keystrokes. This is the Supervisor → Agent relationship.
CLI tool that reads your entire codebase, understands the architecture, and makes changes across multiple files. Works in your terminal alongside git.
AI-native code editor. Understands your project context and suggests changes across files.
Stop micromanaging. Write clear acceptance criteria. Let the agent work. Review the diff, not the process. If you're watching every keystroke, you're still at L2.
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