← Back to sample report

Implementation Guide

Use AI-assisted development support for small website changes

The transcript explicitly identifies outsourced Ruby changes as a cost/time-zone bottleneck. AI can help scope and verify small changes but should not bypass safe engineering controls.

Tools Needed

  • Cursor, GitHub Copilot, or Claude Code
  • Cursor
  • Claude Code
  • Codeium
  • GitHub issue/template workflow
  • Linear
  • Trello

Prerequisites

  • Access to the current workflow/tool account
  • A clear owner for setup and testing
  • A simple success metric before launch

Implementation Steps

  1. Step 1: Create a change-request template

    Capture page, desired change, acceptance criteria, screenshots, and risk level.

  2. Step 2: Use AI for first drafts

    Generate proposed copy, tests, or code snippets for low-risk changes.

  3. Step 3: Require review for code changes

    Have outsourced or qualified developers review and deploy production Rails changes.

  4. Step 4: Track avoided rework

    Measure how many revision cycles are avoided.

Configuration Tips

  • Start with a narrow workflow before expanding automation.
  • Keep human review for sensitive customer or account actions.
  • Document what changed so the process is repeatable.

Data Needed

  • Current process steps
  • Tool/account access
  • Example customer requests or records
  • Baseline time/cost estimate

Success Metrics

  • Reduced back-and-forth with developers
  • Small change cycle time
  • Outsourced hours per month