An artificial intelligence coding agent combines a code-capable model with access to repository files and development tools. It can search a codebase, explain behavior, plan a change, modify files, run tests, inspect failures, and iterate within the permissions granted by the user.
Reliable work depends on more than code generation. The agent needs current repository context, architectural decisions, requirements, task boundaries, and validation evidence. Human review remains important for security, product intent, irreversible operations, and conflicts the available context cannot resolve.
