Apps on Demand: What Happens When Search Can Build the Interface?
A speculative look at AI-generated mini apps, VibeOS, Google Search, and why durable software survives where state, trust, and depth matter.
Blog posts tagged
AI Page 1
My Current AI Coding Setup
How I use Codex, JetBrains IDEs, Copilot review, AGENTS.md, reusable skills, and CI checks to make AI coding reliable.
AI and UK Jobs: Less Apocalypse, More Uneven Reshaping
What current UK evidence says about AI exposure, adoption, entry-level work, and the roles most likely to change.
What the State of AI 2026 Survey Says About Developer Work
A developer-focused summary of the State of AI 2026 survey, covering adoption, coding agents, paid usage, costs, risks, and what engineering teams should take from it.
Docker Compose setups for parallel AI agents
How to structure Docker Compose so several AI coding agents can run the same multi-container Laravel app at the same time without clashing over ports, volumes, databases, or seed data.
Why AI Adoption Is Still Hard For Engineering Teams
Why AI coding tools only create lasting velocity when leaders fix trust, feedback loops, governance, and engineering fundamentals.
Apple MLX vs NVIDIA CUDA: Same Problem, Different Machines
A practical comparison of Apple MLX and NVIDIA CUDA, where they overlap, where they differ, and how those differences should shape your choice.
When AI Writes Most of the Code, Quality Has to Become Infrastructure
AI coding agents are moving the bottleneck from code production to verification. That means the SDLC needs stronger evidence, testing, risk controls, and maintainability signals.