13 min read
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.
Recent Insights Page 3
9 min read
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.
7 min read
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.
13 min read
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.
11 min read
AI Coding Adoption Depends on the Engineering System
AI coding tools improve delivery only when teams have clear rules, fast feedback, small changes and enough review capacity.
10 min read
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.
6 min read
Require Evidence for AI-Generated Code
Use explicit acceptance criteria, test results, risk-based review and production feedback before accepting AI-generated changes.
7 min read
Why Single Agents Often Beat Multi-Agent Systems
Why many apparent multi-agent gains are really test-time compute gains, and when extra agents are still worth the complexity.