Why More Context Can Make Your AI Model Worse

Breaking work into tiny pieces creates overhead that compounds quietly. The problem isn't granularity itself — it's where the cost hides.

Almost every startup misprices its first product. Here's why that's survivable, what the real mistakes look like, and when bad pricing actually kills you.

The users who push back hardest on your product are often the ones who understand it most clearly. Slack's growth story is a case study in learning to tell the difference.

LLMs encounter novel inputs constantly. Here's the mechanical reality of what happens when a model meets context that falls outside its training distribution.

Every bug that only surfaces in production is a failure of imagination in your test suite. Here's how to read what they're actually saying.

Your monitoring says the service is up. Your users are staring at a spinner. Both things are true at the same time.

That half-second before a webpage loads involves more engineering than most people write in a career. Here's what's actually happening.

A startup built its entire caching strategy around numbers Jeff Dean published in 2009. Here's what they got wrong, and what modern hardware actually looks like.

One developer, one library, and a wake-up call that exposed how the tech industry builds billion-dollar products on infrastructure no one is paid to maintain.

Market leaders spend enormous resources winning dominance. Their closest rivals collect the profits. Here's the structural reason why.

Optimizing your productivity system feels like work. But the best system isn't the most elegant one — it's whichever one you'll actually open tomorrow.

Before you ship anything, customers are buying something. Most founders don't know what it is, which is why so many early deals fall apart.

Being first sounds like an advantage. The history of tech says otherwise. Here's what actually separates pioneers from the companies that bury them.

Adding more detail to your AI prompts feels like it should help. Sometimes it does the opposite. Here's why, and what to do instead.

Some bugs disappear the moment you look for them. Understanding why is more useful than any debugging trick.

Speed rarely comes from faster hardware or smarter algorithms. It comes from eliminating work the program never needed to do in the first place.

Jeff Dean's famous latency cheat sheet shaped a generation of architecture decisions. The hardware it described no longer exists.

Forgotten code written by engineers who retired decades ago is quietly keeping hospitals, power grids, and financial systems alive. That should worry everyone.