Priya Sharma

Your phone isn't alerting you to emergencies. It's delivering low-priority messages on a timeline you agreed to. Here's how to change that agreement.

Switching from Python to Rust won't fix a slow app if the bottleneck isn't your language. Here's what actually determines speed.

Retrieval-Augmented Generation is a genuine improvement over vanilla LLMs. But the AI community has oversold what it actually solves, and teams are paying for that confusion.

If your bug disappears the moment you try to observe it, that's not luck. It's a timing problem wearing a disguise.

Everyone celebrates the deployment. Nobody talks about the slow, structural failure that starts the moment real users arrive.

Most meetings aren't poorly run. They're poorly conceived. Here's how to tell the difference before you schedule the next one.

Giving your AI assistant a massive codebase and detailed instructions often produces worse results than a focused prompt. Here's why, and what to do instead.

Most people treat AI like a search engine or a person. It's neither. Fix the mental model first, and the prompts fix themselves.

Every line of code is a liability. Understanding why deletion improves reliability is one of the most practical mental models you can carry into a software project.

A mid-sized consultancy tracked where its knowledge workers actually lost time. The answer wasn't meetings or multitasking. It was refinding things they'd already found.

You probably think of embeddings as a search feature. They're actually closer to the connective tissue of modern AI-powered software.

We've built a culture of instant dismissal around features that cost enormous effort to create. That asymmetry is worth taking seriously.

AI coding tools make you faster. They also quietly erode the understanding that makes you a good engineer. That tradeoff deserves more honesty.

Getting interrupted is bad. What you do in the first 30 seconds after is what actually determines how long you stay lost.

Most productivity systems make it frictionless to capture work and painful to complete it. Here's how to flip that ratio.

When you ask an LLM to 'think step by step,' something real happens. But it's not what reasoning looks like inside a human brain.

A product team's experiment with no-meeting weeks revealed something uncomfortable: the meetings they thought were essential were mostly confirming decisions already made elsewhere.

When their fraud detection pipeline silently failed for six days, the logs were full. They just didn't contain what anyone needed.