Priya Sharma

You completed the work. But until you formally close the task, your brain hasn't. That gap is costing you more than you think.

Most AI output problems aren't model failures. They're prompt failures. Here's how to stop blaming the tool and fix the actual problem.

When a bug only appears in production, it's not bad luck. It's a signal that your test suite is modeling the wrong world.

Starting a project feels good because your brain rewards the plan, not the work. Here's what that means for how you should be planning.

Some bugs vanish the moment you look for them. That's not a coincidence — it's a signal about how your mental model of software is wrong.

Dismissing a notification doesn't clear it from your head. Here's the cognitive science of why, and what to actually do about it.

Most teams treat LLM context windows like RAM and wonder why costs explode. Here's what's actually happening and how to fix it.

AI writing tools are getting better at finishing your sentences. That's exactly the problem.

A product team spent months building the perfect knowledge system. Then they deleted the folder structure and got more productive. Here's what they learned.

Prompts influence LLM outputs, but the real controls are baked in long before you type a word. Here's what actually shapes what you get.

Blocking four hours on your calendar and calling it deep work is not a system. Here's how to actually build one that produces results.

Most productivity systems make it frictionless to add tasks and exhausting to finish them. Here's what to fix.

Heisenbugs disappear when you try to observe them. Here's why they happen and how to actually catch them.

A product team's inbox-zero habit was destroying their roadmap. Here's what they learned about speed, priority, and the trap of completable work.

The failure modes are predictable. Here's what actually breaks distributed systems, and what you can do about each one.

The cost of switching tasks isn't just lost minutes. It changes the ceiling on what you can actually produce.

Static analysis, dead code elimination, loop unrolling — your compiler has been making intelligent decisions about your code for decades. Here's what that history tells you about AI.

Prompt engineering feels like a permanent new skill. It isn't. Here's why that's actually the point, and what comes after it.