Maestro is a great library for writing high-level UI tests that verify your Android app works from your users' perspective. For a more detailed intro into Maestro, please see my recent Maestro intro post. If you're testing an app that makes REST API calls, you'll need a way to verify those parts of the app work …

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For fun I've recently been building an Android app with Kotlin and Compose. With this app, I can set goals for the week and track my progress towards those goals. My schedule is too varied day-to-day to successfully finish daily goals of say, read X minutes a day. But I found that setting goals per week helped me …

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Tests for your Android application can come in a couple different flavors: Unit tests Connected Android tests You can execute the regular unit tests under the app/src/test directory without any special setup, but for the connected Android tests under app/src/androidTest you'll need a real device or an Android …

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As you move along in your software engineering career, one of the biggest ways you can have a larger impact is to be a force multiplier. What does it mean to be a force multiplier, you might ask? Having an outsized impact on others beyond your direct contributions. For example, helping level-up the skills of other …

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Software engineering teams are a critical component of many companies, where the effectiveness of these teams can have a significant impact on the company's success. Making investments in areas such as these in improving developer productivity will pay off significantly, giving development teams more time to focus on …

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We've all seen it, code comments that are so obvious they add nothing but noise to the codebase. Redundant comments restating exactly what operation the code is performing. For example, this function's purpose is obvious from its name - adding a comment as well doesn't add any value: 1// Verifies if the auth token is …

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Code coverage - how many code lines and branches are accessed during a test - is easy to measure in many languages and test frameworks. And at first glance, measuring code coverage seems like a no-brainer. After all, who wouldn't want to make sure their code is sufficiently tested? But just because a metric is easy to …

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The OpenTelemetry Java instrumentation agent automatically instruments many common frameworks but there are times you may want to customize your application's telemetry by adding your own custom spans, adding attributes to existing spans, etc. In that case, it can be helpful to verify the custom instrumentation through …

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In this post we'll go through my initial journey to add observability to the Projektor test reporting app using OpenTelemetry and Honeycomb. Projektor already has traditional monitoring with metrics around p95 response times for each REST endpoint, counters for successful and failed operations, etc. But I was intrigued …

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Recently I was working on sorting rows in a table in React and I wanted to be able to verify the rows sorted into the correct order. The table shows flaky tests (that is, tests that intermittently fail) and is built with Material Table. Material Table conveniently supports sorting out of the box by clicking on the …

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