- Write migration plan
- Agent edits in batches
- Tests per batch
Ship a 40-file refactor with a coding agent
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
Explore how gVisor can be used to create a responsive web interface for managing AI agents, enhancing productivity and task delegation.
Managing AI agents effectively can be challenging, especially when trying to balance coding and code review. Traditional tools often lack the integration and user experience needed for efficient task management.
Start by outlining the tasks that need to be accomplished with the AI agents.
Assign tasks to different agents based on their strengths and capabilities.
Utilize a Kanban board to visually manage the progress of tasks and agents.
Conduct a thorough review of the outputs generated by the agents to ensure quality.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.