AI tools that help developers write, review, debug, and deploy code. From autocomplete (GitHub Copilot, Codeium) to full autonomous development (Claude Code, Cursor, Devin), coding assistants represent one of the most mature and widely adopted applications of LLMs. They work by predicting the next tokens of code given context from your codebase, documentation, and instructions.
Why it matters
AI coding assistants are the sharpest edge of AI's impact on knowledge work. Developers who use them report 30-50% productivity gains on routine tasks. But they also hallucinate APIs that don't exist, introduce subtle bugs, and can make developers dependent on tools they don't fully understand.