Blog tag
Tagged: metrics.
6 articles tagged metrics
Sprint planning with two capacities: your team and your agents
Sprint planning with AI agents needs two capacity numbers, not one. Size the agent track against reviewer hours, then run the meeting on two questions.
Did your AI agents actually save time, or did it just feel fast?
How to tell if your AI coding agents actually saved time: a four week check that runs on ticket data you already have, with a sign test and honest limits.
What an AI agent actually costs per task
Work out AI agent cost per task: attribute agent-reported spend to an issue key, divide by completed work rather than attempts, and read the result honestly.
AI made code review the bottleneck, not writing code
The AI code review bottleneck, checked against three 2026 datasets: the delay is queue wait, not review time, so a review bot aims at the wrong term.
Cycle time vs lead time (and how to actually measure both)
Cycle time vs lead time explained: what each measures, how to compute both from issue history, reading p50/p75 and the histogram, and how Taskfolk, Jira, and Linear compare.
Do AI agents count as seats? The real cost of running agents on your tracker
Two costs get blurred together: paying a seat per bot, and the tokens the model burns. Here is how to separate them and estimate what agents actually cost.
