Uladzislau Bayouski

Two days, ninety-plus sessions, and a quiet shift in what AI is actually for. Most people watched the smart glasses demo and the Gemini benchmarks. The headlines wrote themselves. That's the surface. Underneath it, Google quietly retired the idea of AI as an assistant and replaced it with AI as an operator. The Short Version The keyword across both days — repeated in nearly every announcement — was agent . Not chatbot. Not assistant. Software that takes an instruction, decomposes it, and operates on systems on your behalf, often without you watching. Sundar opened with the numbers that made that inevitable: 19 billion tokens per minute through Google's APIs, 2.5 billion monthly users on AI Overviews, AI Mode crossing a billion in twelve months. At that scale, the assistant model collapses. Nobody types a billion prompts. The work has to happen on its own. Day 1 — the consumer stack: Gemini 3.5 Flash — 4× faster than competing frontier models, beats Gemini 3.1 Pro on ev...

For years, engineering teams were execution engines. Product decided what to build. Business decided where to go. Engineering shipped it. That model is changing. Fast. The Short Version Jellyfish's 2026 State of Engineering Management report lands a clear message: AI is no longer just a developer productivity tool. It's becoming a business strategy — and the engineering teams that adopt it well aren't just shipping more code, they're operating differently. The numbers are hard to ignore: 64% of respondents report at least a 25% increase in developer velocity from AI 92% of teams with very high AI adoption say their company's growth outlook is stronger than last year — vs. 69% for low-adoption teams 84% say engineering productivity is now a top management concern 75% say it's a strategic concern for the business — not just an internal R&D metric And in a remarkable shift in under a year, Claude Code became the most popular AI coding tool among...