The Bug You Can't Reproduce Is Usually the Worst One
If a bug only shows up once and then vanishes, that's not luck. That's a system telling you something about its own hidden complexity.
If a bug only shows up once and then vanishes, that's not luck. That's a system telling you something about its own hidden complexity.
Slack, Airbnb, and Flickr all started by saying yes to a single user. That first yes nearly ended each of them — and also made them.
Completion feels like progress. But a finished list just means you did everything you planned, not that you planned the right things.
Every line of code you keep is a liability. The best engineers know that removing code is often the highest-value work they can do.
LLMs sound equally certain whether they're right or wrong. That's not a bug to be patched — it's a structural feature of how they work.
The company that captures the most customers frequently captures the least profit. Second place has structural advantages that market leaders can't easily copy.
When Slack abandoned its game, the press called it a failure. The company called it survival. Both were right.
You probably already know when you do your best work. The problem is you've handed that time to other people.
Slack was a gaming company. YouTube was a dating site. The pivot isn't a failure of vision. Sometimes it's the whole point.
AMD trailed Intel for years, ceded market share, and nearly went bankrupt. Then it became more profitable per dollar of revenue than the market leader.
Canceling a meeting isn't a failure of coordination. Sometimes it's the most productive decision you can make — and the work proves it.
Founders keep pitching massive markets and wondering why they can't get traction. The math on niche dominance tells a different story.
Market leaders spend to stay leaders. The company behind them collects the returns. Here's why the economics of second place are frequently better than first.
Customer feedback feels like free product strategy. Sometimes it is. More often, it's a slow way to build something nobody actually wants.
AI models don't hedge at the edges of their knowledge. They extrapolate smoothly and state the result as fact. Here's what's actually happening.
The code that's easiest to understand is also the easiest to throw away. That's not a bug in the philosophy. It's the whole point.
Collecting money before you have a product isn't a scam. It's the only honest way to know whether you have a business.
Bigger AI models aren't always better. Smaller, focused models are often faster, cheaper, and more accurate for real tasks.
Integer overflow isn't a beginner's mistake. It's a design decision deferred until it becomes someone else's emergency.
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