8/17/2023 0 Comments Github pull request meaningIf tasks are split into smaller batches, problems will be spotted earlier on. As a result, we become resistant to accepting suggestions or comments that feel like they detract from the initial effort. When we invest a lot of time into a large piece of work, we naturally become personally attached to it. Similarly, it’s hard to imagine all the corner cases and cover them with automated tests. This makes it a huge challenge to be properly tested, even for the person who just wrote it. There are additional negative effects:Ī large piece of code has many side effects and moving parts. However, problems are not just related to code reviews. Reviewers might think they grasp the change, but do not truly understand its intention. Consequently, it’s more difficult to spot problems, suggest improvements, and understand which parts of the code were affected. We can’t just read through thousands of lines of code and immediately understand what’s going on. Reviewing work that is not ours can be difficult, especially in programming where different people have different styles and frames of work. But to do it properly on a large Pull Request distracts time from other tasks, so they would rather postpone it. Reviewers know that code review is part of the job, and so it should be done diligently. Have you ever been assigned to review a Pull Request with no idea where to start? Those are the types we should be afraid of! They usually have two outcomes: It’s a small action, but has many benefits discussed in the following sections. If something is unrelated to the current task and needs immediate action, it should be moved to another branch where the change is made (with an additional Pull Request!). To have effective code reviews, you need to avoid including non-related changes inside a single Pull Request. Or saw a variable name we wanted to change. We have all been tempted to just remove a line of code because it was somewhere we didn’t like. The problem with prototyping is that it’s difficult to structure the work into smaller pieces if you don’t know where you’re going just yet. If that’s the case, we start prototyping to figure out the full picture along the way. Sometimes it’s as simple as doing some research, but other times we need to learn a new tech or code base from scratch. There are times when we can’t see the full scope in the planning stage, but we have to get hands on. By breaking the task into smaller parts, we find natural stops where we can take a moment to breathe and pull others into a collaborative process. We are also all tempted to sometimes complete everything in one shot, not stopping for feedback at any point.
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