Coding agents are among the most widely used agent harnesses. They combine a capable model with tools for exploring and changing a codebase.
Typical Tools
- Searching and reading files.
- Editing files with precise replacements or patches.
- Running shell commands: tests, builds, linters.
- Version control operations.
- Sometimes web search and documentation lookup.
What Makes Them Work
- Feedback from execution: running tests and seeing failures lets the agent iterate towards working code.
- Project instructions: files describing conventions, commands and architecture.
- Focused context: searching for relevant code rather than loading the whole repository.
Working Well With Them
- Give clear, scoped tasks with acceptance criteria.
- Keep good tests; they're the agent's main source of truth.
- Review diffs before merging.
Safeguards
- Permission rules for commands that change things outside the project.
- Sandboxing for autonomous runs.
- Version control so every change can be reviewed and reverted.
- Care with secrets: keep them out of the repository and the agent's reach.
Limits
Agents can misunderstand requirements, make plausible but wrong changes or claim success prematurely. Human review remains essential.