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The tools moved from autocomplete to agents that plan and execute across files. That is a real shift. It also moves the bottleneck somewhere most teams have not staffed.

I pay for more than one of these, which tells you the comparison is not as simple as picking a winner. Where each model is genuinely better, from daily use rather than benchmarks.

Every model is best at something and mediocre at something else. This is which one I open for which task, based on using all of them inside real client work rather than on benchmarks.

AI can write a WordPress plugin in a minute. Whether you should put that plugin on a live site is the part nobody covers. From someone who reviews this code for a living.

Most slow WordPress sites are slow for two or three specific reasons. Here is how to find which ones, in the order that gives you the biggest drop in load time for the least work.

AI can draft your test cases in seconds. Whether those cases find anything is a different question. What a year of using AI tools inside a real QA job actually changed.

AI writes the code in seconds. Someone still has to find out whether it works. A QA engineer’s view of what vibe coding actually costs, and how to use AI tools without shipping their mistakes.

Ten UX/UI trends worth knowing, sorted by whether they change what you actually build or just what design blogs look like this year.

A working checklist for hardening a WordPress site, logins, files, database, hosting and monitoring, written from what actually breaks on sites in production.

AI can lay out a screen, read behaviour data and run usability checks. It cannot decide what the product should be. A practical look at where the line sits.