Daily, hands-on use of AI-assisted development tools in professional work (for example, GitHub Copilot, Claude Code, Cursor, or OpenAI Codex), beyond autocomplete to multi-step work such as building features, refactoring, writing tests, and exploring unfamiliar code. Build and improve AI-powered product features: integrate large language models (LLMs) into real user workflows, and help design the prompts, safeguards, and quality checks that keep AI output accurate, safe, and useful for educators.