AI, software and the decisions that matter.

Ideas to understand what is changing in engineering — and decide how to move your team forward.

7 article(s) for “measurement”. Clear search

Peer stigma and token surveillance both break AI adoption numbers. What a trustworthy, team-level way to measure AI at work looks like.

Coding agents excel when a human steers them. Discover why measuring the human plus agent pair, not the model, is how teams build trust in AI.

One AI rewrite took 7 hours to generate and a week to verify. What the 1:24 ratio reveals about trust and where engineering teams should invest.

84% of developers use AI coding tools. Only 33% trust the output. The trust gap now has a measurable number, and measuring it is how teams close it.

OpenAI data from 9,000 workers shows a 6x productivity gap. It is a spectrum to climb, not a binary to flip. Here is what that means for your team.

Vendor benchmarks report 60% F1. Academic tests show 19%. What the 3x gap means for teams measuring AI code review effectiveness.

What a randomized trial and data from 600+ organizations reveal about measuring the real impact of AI on software teams.

Bring the conversation to your team.

Explore where the Releezy suite can help your software operation.