For Engineering Leaders

Use this page if you need a practical starting point for evaluating AI coding tools as an engineering capability, not just as isolated individual experiments.

Who This Is For

• engineering managers
• heads of engineering
• CTOs
• developer-productivity leaders

What You Can Use This Handbook For

• compare tool categories without vendor lock-in
• define secure rollout phases
• create internal evaluation and approval criteria
• decide where prompts, MCP, and repo instructions fit into engineering standards

Best First Steps

1. Review the Comparison Matrix.
2. Read Team Rollout Guide.
3. Use Approved Tools Policy and Tool Evaluation Template.
4. Review MCP Approval Policy before allowing privileged integrations.

Decision-Making Pages

• Choosing the Right Tool
• Cost and Usage Management
• Security and Permissions
• Prompt Review Policy

Evidence and Rollout Pages

• AI Task Brief Template
• Security Checklist Template
• MCP Approval Policy
• Customize for Your Team

Recommended Next Action

Use this public repo as a neutral baseline, then fork it into an internal handbook with real owners, approvals, and company-specific examples.

Verification Note

This page curates organization-facing content. Governance pages remain policy starters and are not legal or compliance advice.