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ashishb.net

A day in Luxembourg - the richest country in the world I was asked to install malware during a fake interview Book summary: Breakneck - China's quest to engineer the future by Dan Wang Book summary: How to Teach Your Baby to Read Book Summary: The Discontented Little Baby Book by Pamela Douglas Introducing Amazing Sandbox - run third-party tools and AI agents securely on your machine Why software outsourcing gets a bad reputation? Book summary: The Natural Baby Sleep Solution by Polly Moore A day in Antwerp, Belgium Journey of online influencers Two days in Brussels, Belgium Shortcuts - when we love them and when we don't A visit to Rakhigarhi Three days in overhyped Paris Empty Japan, crowded Tokyo The real lock-in in GitHub is not the code, but the stars 11-day Norwegian Breakaway East Caribbean cruise Sanskrit and Sri Lankan Air Force Use REST with Open API The Achilles heel of American capitalism Costa Rica in 4 days At a juice stall in Sri Lanka A short stay at Warsaw, Poland Best practices for using Python & uv inside Docker Two days in Vilnius, Lithuania How IntelliJ IDEs waste disk space Pregnancy Why there aren't many digital nomads from India Two days in Riga, Latvia To keep your machine secure, run third-party tools inside Docker
Bad and good ways to test code
Ashish Bhatia · 2023-02-19 · via ashishb.net

Writing tests at an early-stage startup is always heatedly debated. If a function has one call, adding a unit test doubles the number of calls, this not only doubles the current work but even slows down future code changes 2X! Further, if the code is not finalized, it is legitimate to ask why even bother writing test code. Here’s a better way to write tests.

Always write tests along the axis of minimum future code change. For example, test your REST/GraphQL API, or CLI interface. Not only such code mutates slower but any test-breaking changes here are the most devastating ones. Further, once an all-encompassing test has been written, someone can come in and easily test for more cases. So, this sets up the basis for more future testing of the code.

Always write tests along the axis of minimum future code change.

Some software engineers would immediately out that these are integration tests and not unit tests. And that’s correct. I would even claim that an early-stage startup needs integration tests more than unit tests. Unless you are writing some very specific algorithms, unit tests are usually a waste of time and cost even more time in terms of maintenance in the future.

The integration tests, however, are a coded contract between two engineers, one who is writing the test and one who is modifying that code in the future. It might be the same person 6 months apart!