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.
Among top-reviewed tools, the field splits between deep codebase agents like Cursor and Claude Code, which handle repo-wide edits, testing, reviews, and terminal workflows, and rapid app builders like Lovable, aimed at MVPs and UI-heavy full-stack prototypes. Common strengths are context-aware assistance, multi-file changes, integrations, and automation; tradeoffs rise with larger, more complex projects.