11 Things I learned after using AI Agents full-time
AI agents like Cursor have transformed app development workflows through deliberate practices. Key learnings include using plan mode before execution to clarify intent, maintaining custom GPT projects for context continuity, leveraging agent skills instead of lengthy AGENTS.md files, choosing reasoning models for complex tasks, breaking large prompts into focused scopes, reviewing AI-generated code carefully to prevent tech debt, learning tools deeply to find leverage points, implementing linters and rules as guardrails, evolving AGENTS files to prevent recurring mistakes, running tests and CI on every PR, and exploring uncomfortable tools to discover new capabilities. The core insight: AI agents amplify both discipline and shortcuts, multiplying responsibility rather than removing it.
