Scoping specialized AI agents for software workflows
Custom AI agents are assigned focused responsibilities such as planning, implementation, and review, allowing the tooling to adapt its approach to the task instead of following one rigid prompt script.
Why the human is still essential here
Engineers define each agent’s boundaries, choose allowed tools, review plans and code, and stay responsible for the final technical decisions.
How people use this
Planner agent for ticket breakdown
A planning agent turns a backlog item into implementation steps, affected files, and test tasks before a coding agent starts making changes.
Devin / CursorImplementation agent with repo boundaries
A coding agent is restricted to specific folders or services so it can make targeted changes and run local checks without wandering across the whole codebase.
Claude Code / OpenHandsReview agent for pull request checks
A review-focused agent inspects diffs for likely bugs, missing tests, and standards violations before the human reviewer gives final approval.
GitHub Copilot / CursorNeed Help Implementing AI in Your Organization?
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