
How to evaluate developer work without reading code
Four measurements any non-technical founder can run, the startup I lost by writing deadlines in a notebook, and the cases where this ruler breaks down.

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.

Trade secret valuation: pricing the know-how inside your code
Trade secret valuation runs on replacement cost, income attribution and comparables. How to inventory your business rules and build the evidence buyers ask for in diligence.

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.

App developers for hire: 5 questions to ask before you sign
Five questions a non-technical founder can ask app developers for hire to spot a failing project in month one, plus freelancer vs fixed-bid vs dedicated team.

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.

AI software development without architecture: 5 checks before month six
Building with AI without architecture breaks around month six. Five checks you can run without reading code, what each answer means, and the cheaper path before a rewrite.

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.

Thousands of IF/THEN/ELSE rules: code, engine or spreadsheet
Rules that change weekly belong in versioned data with an owner. Rare rules stay as ifs. When a rules engine pays off, and what the finance spreadsheet really costs.