
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.

Who Found the Outage First — You or Your Customer?
The vendor dashboard was green while checkout was down. The problem is not that systems fail, it is the order people find out: the customer before the vendor you pay to watch it. On why real monitoring measures symptoms, not CPU.

Staff augmentation services: what a dedicated development team is and when it makes sense
Squad as a service means a complete engineering team on a flat monthly fee: defined seniority, technical leadership, and delivery managed by the vendor. In this guide: what the model really is, what gets disguised under the name, what it costs in 2026, and how to decide if it fits your stage.

The stack you never update sends its bill without warning
I keep reviewing products running on versions that died years ago, and the pattern holds: nobody decides to freeze the stack, it freezes on its own because maintenance never fits into any budget. The bill shows up all at once on a bad day, and the teams that tend to it weekly almost never let it show up.

Who owns the code in software outsourcing? The answer is usually worse than you think
I watched a healthtech spend 23 days getting admin access to its own repository. On paper the code was theirs. In practice it was not. On the gap between owning something in a contract and owning it for real, and the half-hour test that shows which side you are on.