AI and the Vanishing Cost of Intelligence
How artificial intelligence is relentlessly compressing the cost of intelligence and what it means when it effectively reaches zero.
How artificial intelligence is relentlessly compressing the cost of intelligence and what it means when it effectively reaches zero.
Why pragmatic, non-blocking code reviews lead to better software, happier teams, and faster delivery than fanatical perfectionism.
How computing efficiency has changed over the past decade across CPUs, GPUs, and at the data‑centre (infrastructure) level.
How to provide constructive, clear, and respectful code review feedback that improves code and fosters team collaboration.
How event‑driven, just‑in‑time AI code generation can reshape software delivery and reduce GPU pressure by materialising only the next required view at interaction time.
A practical look at typical end‑to‑end latencies when calling GPT‑5 models via the OpenAI API, how reasoning level affects time‑to‑first‑token and total completion time, and what you can do to measure and optimise it.
Monorepo-first guide to Project Attach in JetBrains IDEs: attach apps/packages from a workspace (pnpm/yarn/npm, Nx, Turborepo) for focused tooling, while still supporting separate repositories.
An emerging UI standard for the Model Context Protocol hints at a world where apps render natively in AI chats, collaborative, secure, and linkable like the web, but conversational at the edge.