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AI Agent Workflow Pack

Workflow templates for using AI agents safely inside frontend repositories.

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AI Agent Workflow Pack

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Use agents as repo collaborators

AI agents are most useful when the workflow gives them a narrow job, real project context, and a verification loop. This pack gives frontend teams repeatable prompts and review steps.

Workflow templates

1. Issue implementation brief

Give the agent:

  • The exact issue scope and acceptance criteria.
  • The repository path, branch rules, and package manager.
  • Files or patterns that should be reused.
  • Constraints like no raw tokens, strict TypeScript, and required tests.
  • A final verification command the agent must run.

2. Component refactor brief

Ask the agent to:

  • Identify the public API before editing.
  • Preserve behavior unless a change is explicitly requested.
  • Replace duplicated styling with existing tokens or recipes.
  • Update nearby examples and tests.
  • Summarize migration risk for reviewers.

3. Design system cleanup brief

Ask for:

  • A token usage audit.
  • A list of one-off variants that should become recipes.
  • Dead components or props that can be deprecated.
  • Documentation gaps that block adoption.
  • A prioritized cleanup plan with small PRs.

4. PR review assistant brief

Give the agent the diff and ask it to check:

  • Type safety and runtime behavior.
  • Accessibility regressions.
  • Token and layout rule violations.
  • Missing tests, docs, or migration notes.
  • Whether the implementation matches the issue scope.

Safety checklist

  • Keep agents on feature branches.
  • Require real builds or tests before merging.
  • Review generated code like code from a new teammate.
  • Prefer small, verifiable tasks over broad rewrites.
  • Ask agents to report blockers instead of inventing results.