It’s 2020, and with the high quality of today’s video conferencing, you can do this work from everywhere. Because it’s a

I’ve actually bought several of these bags all at once and it wasn’t to “release the Kraken” on my enemies. Ladybugs are excellent for gardening, which I express no shame in enjoying.

$ for i in `seq 1 100` > do > adb shell am force-stop com.android.samples.mytest > sleep 1 > adb shell am start-activity -W -n com.android.samples.mytest/.MainActivity | grep 'TotalTime' | cut -d -f 2 > done

I wrote this article to explain more about performance, startup testing, and the reasons behind the pieces I used for testing startup. But if you just want something quick here it is:

I needed to test the startup performance for an app recently (while playing around with the Startup library to see how that affected things — more about that in a future article). And I discovered, like I have on previous strolls down this path, that testing startup performance is… not obvious.

In the past, I wanted people to agree with me and so I’d prioritize my fear of rejection over the truth. Eventually I found a better way, and if you follow this guide I’m confident you will too.

This is why I buy them in packs of three or five. I hate being at the mercy of a tiny tube, causing an eclipse with my massive beautiful biceps as I flex to press the paste out (that’s sarcasm, ps).

But upon further thought, I admire its resourcefulness. You’ll get more bang for your buck in the long run. It’s rather innovative. Scarcity is certainly a source of demand.

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released with several new features and improvements. These two particular ones were the ones that definitely caught my attention and got me really excited to try them. Workspaces have the potential to radically improve the developer’s experience when working on large, combined projects with multiple shared dependencies.

Save the audio and video, mine them for insights, and look for patterns that can be shared with your team. The easier the notes are to relate back to the relevant part of the recording, the easier it is to get multiple unbiased perspectives and recognize true behavioral patterns together.

It feels like there’s a word for this that hasn’t been invented yet, sort of like when we ‘anthropomorphize’ animals, putting dresses on them and talking to them in our sing-songy voice.

But much of the process of application startup happens, by definition, before the system gets around to calling your code. So how do you figure out how long it took to get there?

Whether we like it, the two inconvenient truths of start-ups mean that if we are to build great products that people love, we have no choice but to do the hard work of talking to our users in the right way and the even harder work to gain consensus as a product team about their actual jobs to be done.

If you’re testing a piece of runtime code, there are various ways to go about it, from the trivial “write a tight loop and calculate the delta in System.currentTimeMillis()” to something more sophisticated and useful, like the facilities provided by the AndroidX benchmark library.

I poked around in logcat, looked at some low-level APIs, and asked some of the engineers on the platform team, and found a few things to help. Better yet, I was able to use facilities in the adb shell tool to completely automate my testing and output information in a way that made it easy to pop the results into a spreadsheet and analyze them.

In the past, I wanted people to agree with me and so I’d prioritize my fear of rejection over the truth. Eventually I found a better way, and if you follow this guide I’m confident you will too.