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Fresh app code runs interpreted at first, then compiles in the background. Those early frames are the slowest, and users feel them as a sluggish launch.

A baseline profile lists the hot code paths your app runs at startup. Android precompiles them at install time, so they are fast from the first tap.

With a profile shipped, startup and the first scrolls run ahead-of-time compiled. Real apps often see launch times improve by twenty to thirty percent.

You do not write the list by hand. A Macrobenchmark test exercises your key flows, and the tooling records which methods and classes were used.

Generation is driven by the baselineProfile Gradle plugin and a companion module. It runs your benchmark and writes the profile into your app.

In the test you call collect and drive a critical journey, like launching and scrolling the home list, so the right paths are captured.

The generated file lands in src/main/baseline-prof.txt. It ships inside your app bundle and Android applies it during install.

Your code changes, so regenerate the profile when hot paths shift. A stale profile still helps, but a fresh one captures your latest startup flow.

A teammate asks how baseline profiles speed up launch. What is the core mechanism?

Re-run your Macrobenchmark with the profile applied and compare startup timings. Numbers, not guesses, prove the improvement is real.

You can also mark the most launch-critical paths as a startup profile. Android prioritizes compiling those first for the snappiest possible cold start.

Best of all, users do nothing. The profile is applied automatically during install, so the speed boost arrives the first time they open your app.

You generated a baseline profile from a benchmark, shipped it in your bundle, and measured a faster, smoother launch.