Blog
Legacy Code Is Contaminated Context
AI agents don't distinguish between your best patterns and your oldest mistakes. In legacy codebases, what's most common often becomes what gets copied. Learn why AI amplifies architectural debt—and how to give agents better context.
GitHub Copilot AI Credits: The Billing Change Developers Should Notice
GitHub Copilot has replaced premium requests with AI Credits. Learn how the new billing model works, which features consume credits, and why teams using Copilot Chat, agents, code reviews, and repository analysis should pay attention.
Giving your AI agent a second brain (so it stops breaking your codebase)
AI agents don’t fail because they can’t write code. They fail because they lack architectural memory. Learn how intent-driven wikis and MCP tools create a “second brain” that helps AI make reliable engineering decisions at scale.
Agentic UI Is A Frontend Architecture Problem, Not A Chat Window
The dominant picture of Agentic UI is wrong. You imagine a Copilot-style chat panel grafted onto an existing product: a sidebar that takes natural language, calls a model, and prints a reply. You ship it, call it agentic, and move on.
AI-Driven Design System Migration Case Study: Achieving ~1770% Efficiency Improvement
Executing design system migrations in large codebases is often cumbersome and slow - component updates, testing coordination, and knowledge management consuming thousands of man-days.