Part 4 of 6: The AI-Assisted Development Workflow Series

This is the fourth installment in a six-part series exploring how AI is transforming modern development workflows. In this series, I’ll walk through my journey of building an AI-assisted development environment, from basic infrastructure setup to advanced architectural enforcement and task orchestration.

Series Overview:

• Part 1: MCP Servers, Ports, and Sharing - Setting up the foundation
• Part 2: ESLint Configuration Refactoring - Cleaning up tooling with AI
• Part 3: Custom Architectural Rules - Teaching AI to enforce design patterns
• Part 4: Task Orchestration - Managing complex refactoring workflows
• Part 5: Project Rules for AI - Creating effective memory banks and guidelines
• Part 6: The Ultimate Design Review - Putting it all together

In my last post, I talked about how my AI pair programmer and I created a custom ESLint rule to enforce our new frontend architecture. It was a huge success. The linter, now armed with our specific rules, scanned the codebase and… gave us a giant list of things to fix.