Insights - Amplifi Labs

Don Norman, Forgive Us! Machine-Centered Design is Here.

We humans have spent decades designing interfaces for ourselves, the beautiful, clumsy species that clicks the wrong button, forgets the password, and leaves browser tabs open as "reminders" for weeks.

Using AI to Automate Code Migrations and Dependency Updates

AI is transforming software maintenance by automating code migrations and dependency updates. Instead of spending weeks manually refactoring and fixing compatibility issues, teams can now use AI tools to analyze, update, and optimize large codebases automatically, reducing technical debt and keeping systems continuously up to date.

How Replit Agent Is Redefining Coding

Replit has always been known for its simplicity, allowing anyone to code and collaborate directly in the browser. With Replit Agent, the platform takes a major step forward into the world of autonomous, AI-assisted development.

Inside Figma Weave: An AI Canvas for Collaborative Design and Motion

For years, Figma shaped how teams sketch, prototype, and ship interfaces. With Weave, the company pushes beyond static mockups into an intelligent canvas that blends design, motion, and media generation inside the browser. The result is a creative environment where prompts, nodes, and real-time collaboration help teams iterate faster while staying consistent with brand systems.

What Is Dia? The AI Browser That’s Changing How We Work Online

Most browsers still look and behave the same as they did twenty years ago. Tabs, bookmarks, and manual searches define how we move through the web. But that model is being reimagined by artificial intelligence. Dia, a new AI-powered browser from The Browser Company (creators of Arc), introduces a completely new way to browse and work online. Instead of just displaying web pages, Dia acts as an intelligent assistant that understands context, interprets commands, and automates actions across the web.

How AI Code Review Tools Improve Quality Without Slowing Down Delivery

Code reviews are essential for maintaining software quality, consistency, and security. They catch errors early, enforce standards, and facilitate learning across teams. Yet, as development velocity increases, traditional review processes often become a bottleneck. Pull requests pile up, reviews delay merges, and developers lose momentum waiting for feedback. Artificial Intelligence is changing that. Modern AI code review tools bring speed, precision, and scalability to one of the most time-consuming stages of software delivery — without sacrificing quality or human oversight.

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