AI coding agents automate programming help: they suggest code, refactor, debug, and integrate with editors, repos, and APIs for faster builds across teams and stacks.
Across the leaders, AI coding splits between developer-native agents and rapid app generators. Cursor and Claude Code stand out for repo-aware edits, refactors, test execution, and PR workflows inside IDE or terminal-heavy setups. Meanwhile, Lovable emphasizes prompt-to-product building, pairing visual editing, backend wiring, GitHub sync, and one-click deployment for MVPs and internal tools.