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The use of AI models to write, debug, refactor, and review code. In 2026, AI-powered coding has matured from autocomplete suggestions to full autonomous software engineering agents. Tools like Cursor and Devin can understand entire codebases, implement features from natural language descriptions, and iterate on their own output. Benchmarks like SWE-Bench measure models' ability to solve real GitHub issues, with top models resolving over 50% of production bugs autonomously.