Cursor, Replit, and the endless wave of "AI-native" platforms offer convenience — but convenience is not ownership.
You write code in their environment. You run agents on their infrastructure. You adapt your workflow around their limitations. And over time, your entire development process starts orbiting their platfor...
Part 1 ended with Priya's order shipped and the agent confidently refunding her anyway.
Here's the same request, in a system that's been built differently:
"Hi, I'd like to cancel order #4471 and get a refund."
The system reads the order status — shipped. It sees that the cancellation procedure requires the order not to be shipped. It ...
I upgraded an LLM SDK and expected a routine version bump.
Instead I had to touch 15+ files, fix breaking changes across four providers, and spend the rest of the day hoping I had not missed one. That was the second time it happened. I knew there would be a third.
If you have ever shipped a production LLM system, you probably recognize the smell:
This is a field-tested workflow for using AI effectively in production-grade, enterprise level React codebases in a monrepo setup — beyond toy Todo apps.
Everyone is using AI to boost development productivity these days and organization also pushing the developers to use more and more AI to increase productivity and efficiency. But after weeks of trial and err...
There’s a strange feeling that comes with opening an old project folder again.
You look at the messy files, random commits, unfinished components, and half-working features… and instantly remember the excitement you had when you first started building it.
That’s exactly what happened to me.
A few months ago, during a hackathon, I started building an AI-powered study assi...
This is a submission for the Google I/O Writing Challenge
The Biggest Shift at Google I/O 2026 Wasn’t a Model Update
For years, AI systems mostly behaved like advanced assistants.
You asked. They answered.
But Google I/O 2026 signaled something much bigger:
AI is ev...