Coding agents are AI systems that work on software tasks through tools and feedback loops rather than only suggesting snippets in a chat or autocomplete surface.
They can inspect repositories, edit files, run commands, interpret failures, and continue toward a specified outcome. The hard part is deciding how much autonomy they should receive and what verification loop keeps their output trustworthy.
Examples
- Claude Code is a terminal-first coding agent that can inspect a repository, edit files, run commands, and iterate against test or build feedback.
- GitHub Copilot CLI is a command-line Copilot surface studied in Microsoft’s early-2026 rollout of command-line AI coding agents.
- Qoder is Alibaba’s coding tool and an example of coding-agent adoption shaped by enterprise governance and vendor-risk boundaries.