
AI software development: review is the new bottleneck
Anthropic went from 2,500 to over 30,000 merges a day in four months. Three numbers from your own repo that show whether verification fell behind.

Inherited spaghetti code: the first 7 days, in order
Inherited spaghetti code from a vendor that left? The order of the first 7 days: what to measure before writing a line, what to freeze, and how it turns into three timelines.

AI code review: how far you can take the human out
AI code review approves what a rule can verify. Anything that changes business behaviour still needs a person. Where to draw the line, and the month-14 bill.

Technical debt from AI coding agents: how to measure the bill
Technical debt written by coding agents never shows up as a bug, it shows up as schedule. Three counts you can run this afternoon, plus what to change in code review.

AI that picks vs AI that writes: where each belongs in your system
Closed decisions (classify, route, validate) call for a model that picks and errors you can count. Free text needs human review. How to decide and test it, with Jev as the case.

Incremental migration vs big-bang: what each one costs your roadmap
Upgrades of the same tech belong in every sprint. A different tech is a project, and even that ships in slices. What each path costs and where the rule breaks.

Scraper traffic is inflating your cloud bill: how to measure it
At git.kernel.org, 14 CPU cores do nothing but render pages for scrapers, more than all legitimate access combined. How to split bots from humans in your logs first.

Mainframe and AI: legacy modernization is about missing logs and owners, not age
CIO Dive reports AI agents helped sustain confidence in the mainframe. Three checks that tell you whether your system is legacy, and what to do about each one.

Legacy modernization: upgrade PHP 5.6 to PHP 8 or full rewrite?
Upgrading PHP 5.6 to PHP 8 usually costs less than a rewrite. Three measurements (compatibility, dead dependencies, revenue flows without tests) tell you if your case is the

AI software development: teams ship more code and deliver less. What to measure
PR volume is up and the product hasn't moved. Four measurements that expose where AI turns into debt: review queue, 30-day rework, mutation score and real customer use.

Legacy system modernization: the first two weeks with 200K lines of spaghetti code
The first two weeks on an undocumented legacy codebase: boot it from scratch, instrument production, map the five revenue paths. And why the day-4 rewrite call backfires.

High test coverage is where production bugs hide best
A founder sent me a 92% coverage badge the same night his checkout was down. Coverage counts lines that ran, not results anyone checked, and it is the easiest number for a vendor to inflate. What a senior squad reads before it trusts the green.