AI Coding Assistants augment or drive the code-authoring workflow through LLM-powered capabilities — inline autocomplete, natural-language code generation, code explanation, test generation, refactoring, code-review assistance, and increasingly agentic multi-step code changes that execute against the codebase autonomously. Core capabilities include context-aware suggestions that incorporate repo structure, per-language tuning, IDE integration, inline chat surfaces, code-review bots, test generation, and enterprise controls (tenant isolation, IP indemnification, training-data opt-outs). The category extends from inline autocompletion tools to autonomous coding agents that complete multi-file tasks from natural-language briefs. Leading vendors include GitHub Copilot, Cursor, Claude Code, Windsurf (Codeium), Amazon Q Developer, Tabnine, Continue, and Cody (Sourcegraph).