Is Your Engineering Team Ready for AI — or Just Faster at Breaking Things?
The four engineering basics that decide whether AI helps your team ship faster or just breaks things faster.
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Trained to Please: Why LLMs Can't Score Things
Language models avoid harsh scores because they are trained to please. A comparison of an LLM and Jev, a model that returns decisions instead of text.
· 9 min read
How to Create, Test and Install Claude Code Skills
Turn a repeated task into a Claude Code Skill, check that it triggers and beats a run without it, then install it for your project or team. Commands included.
· 12 min read
Telling AI Agents What Not to Do: Does It Actually Help?
An empirical test of a contested claim: do negative instructions ("don't do X") hurt an agent's output quality, or are they necessary for precision?
· 12 min read
AI Is a Tech Debt Multiplier
AI does not fix an unhealthy codebase. It amplifies the codebase it is given, creating a short burst of speed followed by a slowdown if code health is weak.
· 9 min read
Why Senior Engineers Still Matter in the AI Era
AI can multiply engineering output, but it does not replace senior judgment, domain expertise, or architectural review.
· 9 min read