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Time to Signal

All notes

Everything here, in eight sections. If you have a slow toolchain and no evidence, start with measurement. If someone has asked for per-developer numbers, read the foundations first.

All 50 notes

Grouped by section, each appearing once. The tag on the left says what kind of note it is.

Foundations

6 notes

Waiting is the subject. Which loops matter, what the delay actually costs beyond the minutes, and the boundary this whole field has to hold: the system is measurable, the people are not the target.

Build systems

8 notes

Where most of the available speed is, and where it eventually becomes architecture work: the graph sets a ceiling that no amount of caching or hardware can lift.

Testing

6 notes

A suite that fails randomly is worse than one that is slow, because it destroys trust in the signal. Reliability is worth more than speed at the margin and is measured far less often.

Pipelines

6 notes

Time to a useful signal rather than total duration. Plus the split almost nobody reports: queue time and execution time have different causes and different fixes.

Local environment

6 notes

The loop developers spend most of their day inside, and the one with no telemetry by default. Includes the friction that costs no measurable time at all.

Measurement

6 notes

Frameworks read as their authors intended, telemetry collected without losing the trust it depends on, and the discipline that turns a number into a change rather than a dashboard.

Running a programme

8 notes

The first ninety days without a purchase, the ranking that returns most soonest, and the failures that recur — each visible early and each with a specific correction.

Reference

4 notes

The boundary: what a fast toolchain does not solve, the requests that would destroy the capability, and a description of the end state to measure a plan against.