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How We Cut nx format from Minutes to Seconds: A Prettier-to-oxfmt Hybrid

How We Cut nx format from Minutes to Seconds: A Prettier-to-oxfmt Hybrid

We cut an Nx monorepo’s formatting check from 4m 34s to 17.8s across 68,000 files. Here’s how a hybrid oxfmt and Prettier setup delivered a 15× speedup while keeping Angular templates formatted correctly.

Nx Automation at Scale Case Study
Vakhtang Margvelashvili
Vakhtang Margvelashvili
Legacy Code Is Contaminated Context

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.

AI Efficiency Automation at Scale
Kirill Karnaukhov
Kirill Karnaukhov
GitHub Copilot AI Credits: The Billing Change Developers Should Notice

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.

AI Efficiency Automation at Scale
Julia Rapczynska
Julia Rapczynska
Giving your AI agent a second brain (so it stops breaking your codebase)

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.

AI Efficiency Automation at Scale
Julia Rapczynska
Julia Rapczynska
AI-Driven Design System Migration Case Study: Achieving ~1770% Efficiency Improvement

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.

AI Efficiency Case Study Automation at Scale
Kirill Karnaukhov
Kirill Karnaukhov