Reddit discovered the funniest thing in tech this week, and it shows exactly how broken the AI narrative is.

The newly released GitHub Copilot agent was given permission to make pull requests on Microsoft’s .NET runtime, and the results couldn’t be funnier.

The AI confidently submitted broken code, while human developers patiently explained why it didn’t work. Over and over again, for days.

AI code generation is error-prone. Why, then, are programmers still using it?

Everyone from YC partners to Fiverr’s CEO has been proclaiming that “90% of code is AI-generated” or that they’re becoming “AI-first” companies.

The subtext they’re forcing on us is clear: programmers who don’t embrace AI will be left behind.

But after two years of daily AI coding — from the earliest Cursor version to the latest agentic tools — I’ve uncovered the truth: AI coding tools are simultaneously terrible and necessary.

MCPs are a way for AIs to interact with the outside world. An MCP can allow AI to read emails, post tweets, message your friends, and much more.

We are used to interacting with the digital world via apps and windows—but MCPs enable an AI to do everything that humans do, without using any apps.

Here’s a quick guide on setting up and using your first MCPs in Windows.

You know by now that AI can dramatically speed up your development process (when used correctly.)

But the key is knowing how to communicate with the AI properly.

Here’s my collection of prompts that actually work in real-world scenarios.

The first time I encountered Big Tech was at age 15 when I won Google Code In. They flew me and my family to San Francisco and showed us around the Googleplex. I arrived with wide eyes, eager to see where the “smartest people in the world” worked.

But, what I found… disturbed me.

Everyone wore the same badges, slept in nap pods, played the same games, and ate at the same cafeterias. I couldn’t escape the realization that I was looking at a daycare for adults.

That day, I silently promised myself I would never work in such an environment.

Is it just me, or are the code generation LLMs we’re all using not that good?

For months, I’ve watched developers praise LLMs while silently cleaning up their messes, afraid to admit how much babysitting they actually need.

I realized that LLMs don’t actually understand codebases — they’re just sophisticated autocomplete tools (with good marketing.)

After two years of frustration watching my AI assistants constantly “forget” where files were located, create duplicates, and use completely incorrect patterns, I finally built what the big AI companies couldn’t — or wouldn’t.

I decided to find out: What if I could make AI actually understand how my codebase works?

Last week, I moved to New York and joined the Recurse Center.

This is after being in San Francisco for a month, staying next to the Embarcadero and attending On Deck Founders.

I’m living in Downtown Brooklyn now, fortunate to find a place that’s just a five minute walk away from the Recurse Center.

It’s been a pleasure to stay in both the cities. Some differences: