PERSPECTIVES

Every handoff in an emergency call loses seconds. AI can compress most of them — not by replacing dispatchers, but by reducing what they have to hold in their heads.

30,000+ tech layoffs in the first few weeks of 2026. The market isn't shutting down — it's restructuring around a different kind of engineer.

For three years, the assumption was: scale wins. Then DeepSeek proved that architectural efficiency can match brute-force compute. The implications ripple far beyond Silicon Valley.

AI isn't replacing developers. It's exposing the difference between a coder and an engineer. Architecture, debugging, testing — these aren't legacy skills.

End of 2025, Claude Code dropped with Opus and the internet lost its mind. My answer after 17 years of coding: it depends.

I ran the numbers on a 'standard' career path in 2026 — degree, job, 10% raises, retire comfortably. The math doesn't work anymore.

Tailwind laid off 75%. Stack Overflow's traffic collapsed. The narrative: AI is killing engineering. The reality: AI is killing ad-supported business models.

2025 wasn't just another year of AI progress. It was the year hype met reality. Here are the structural shifts that actually mattered.

If 2024 was the year of AI hype, 2025 was the year it hit reality. Three things stood out — and one of them is a trap.

Microsoft committed $17.5B. Amazon committed $35B. Google added $5B. Combined, nearly $70 billion. An engineer asked me: is this real? I followed the money.

Most AI books read like textbooks or tutorials. Textbooks explain everything and help you understand nothing. Tutorials help you copy-paste until something breaks. I wanted to write the book I wished existed.

Anthropic acquired Bun for an estimated $100-200M. Surface reading: acqui-hire. Real reading: they bought the execution layer for AI-generated code.

India needs its own AI infrastructure. The ambition is right. The question is execution — and the pattern in ventures that struggle is consistent.

Every wave of automation creates gaps. Not just job losses — skill gaps. Five roles keep coming up in every hiring conversation I have.

The AI industry is obsessed with scale. Bigger models, more parameters, more compute. I think the real opportunity is the opposite.

You watch tutorials and understand everything. Then you try to code and... nothing. Here's why that happens and what to do about it.

For three years, the AI narrative has been scale. More parameters, more GPUs. I think the real shift is the opposite — small models that actually deploy.

GPT-5 shipped. It's faster, cheaper, better at coding. And it is not AGI. The gap between benchmarks and production has never been wider.

Three years of building a VR education platform. Two published papers. 100+ alumni placed. Here's what we learned — including what didn't work.

Both Microsoft Build and Google I/O announced the same thing: search is no longer about links. It's about answers. The economic consequences are enormous.

Most AI research is designed to be cited. We're building research designed to be deployed. Here's what that looks like in practice.

For 15 years, a software engineer's value was translating requirements into syntax. AI does that faster now. The job didn't end — it got harder.