- 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 the concept of an AI agent town where each building represents a unique AI workflow.
Managing various AI workflows can be complex and disorganized. By visualizing these workflows as a town with pixel art sprites, it becomes easier to conceptualize and manage different functions like support, bookings, and reports.
Plan out the layout of your AI agent town, deciding where each building representing a workflow will be placed.
Develop pixel art sprites for each AI agent that will inhabit the town, ensuring they visually represent their respective workflows.
Assign each building to a specific AI workflow, such as support or bookings, and integrate them into your AI model.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.
Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.