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CodingBeginnerAny

Creating an AI Agent Town with Pixel Art Sprites

Explore the concept of an AI agent town where each building represents a unique AI workflow.

Time saved
0h / week
Setup time
Not stated
Running cost
Not stated
Cost range
Free

The problem it solves

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.

How it flows
  1. Design
  2. Build
  3. Deploy

Step-by-step setup

  1. Design the Town Layout

    Plan out the layout of your AI agent town, deciding where each building representing a workflow will be placed.

  2. Create Pixel Art Sprites

    Develop pixel art sprites for each AI agent that will inhabit the town, ensuring they visually represent their respective workflows.

  3. Integrate AI Workflows

    Assign each building to a specific AI workflow, such as support or bookings, and integrate them into your AI model.

Coding · Advanced
  1. Write migration plan
  2. Agent edits in batches
  3. 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.

Claude Code · GitHub Copilot
Coding · Intermediate
  1. PR opened
  2. Copilot inline review
  3. Claude risk summary

Automated first-pass review on every pull request

Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.

GitHub Copilot · Claude · Slack
Coding · Advanced
  1. Run coverage
  2. Pick 3 riskiest files
  3. Write + run tests

Generate missing unit tests for untested modules

Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.

Claude Code · GitHub Copilot · Slack