Jul 6, 2026
Flow metrics: the four numbers that predict delivery
Velocity tells you how busy a team was. Flow metrics tell you when work ships — WIP, cycle time, throughput, and age, the four numbers that forecast it.
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8 posts tagged “Engineering”.
Velocity tells you how busy a team was. Flow metrics tell you when work ships — WIP, cycle time, throughput, and age, the four numbers that forecast it.
ReadThe four DORA metrics are the best-validated measure of delivery performance there is — and the easiest to turn into vanity dashboards. How to use them to find bottlenecks instead of to grade people.
ReadThe eternal fight between shipping features and keeping things stable is unwinnable as an argument. An error budget converts it into a number both sides have already agreed to.
ReadThe Model Context Protocol lets any AI client reach your work tool's data and actions through one standard interface. Here's what it is, why it matters, and how to expose it without handing an agent the keys.
ReadA look under the hood at what happens between a raw inbound message and a structured, assigned issue — the steps, the signals, and where the human stays in control.
ReadA board and an issue tracker aren't two products — they're two views of the same data. What goes wrong when they're separate systems, and what gets simpler when they aren't.
ReadLatency is a feature. A look at the architecture choices — realtime fabric, optimistic updates, an offline-capable PWA — that keep every interaction under 100 ms.
ReadA single all-powerful AI is harder to trust, harder to bound, and harder to debug than a team of small, scoped agents. The design pattern that makes multi-agent systems both safer and more capable.
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