Use Cases
Practical examples of how development teams use AI agents to automate tedious tasks and accelerate their workflows.
Automate Monorepo Maintenance at Scale
Maintain monorepos automatically across hundreds of packages. Learn how AI agents handle cross-package dependencies, shared configuration, and coordinated updates.
Measuring Code Health: Metrics That Actually Matter
Learn which AI-driven code health metrics to track and which to ignore. Build AI-powered dashboards that drive improvement, not just display numbers.
Multi-Repository Maintenance: Scaling Quality Across Many Repos
Learn how to maintain code quality across multiple repositories with AI. Strategies for consistent standards, AI-coordinated updates, and efficient multi-repo management.
Code Maintenance for Startups: Moving Fast Without Breaking Everything
Learn how startups can balance speed with code quality using AI. Practical AI-powered strategies for maintaining code when you're moving fast and resources are limited.
The Code Maintenance Maturity Model: Where Does Your Team Stand?
Assess your team's code maintenance maturity. Learn the stages from reactive chaos to AI-powered proactive excellence and how to advance to the next level.
Communicating About Code Maintenance: Getting Buy-In and Showing Value
Learn how to communicate effectively about AI-powered code maintenance. Strategies for getting stakeholder buy-in and demonstrating the value of AI maintenance work.