#code-review

#code-review

At that point, backpressure and load shedding are the only things that retain a system that can still operate. If you have ever been in a Starbucks overwhelmed by mobile orders, you know the feeling. The in-store experience breaks down. You no longer know how many orders are ahead of you. There is no clear line, no reliable wait estimate, and often no real cancellation path unless you escalate and make noise.

Generating code using AI increases the number of issues that need to be reviewed and the severity of those issues. CodeRabbit, an AI-based code review platform, made that determination by looking at 470 open source pull requests for its State of AI vs Human Code Generation report. The report finds that AI-generated code contains significantly more defects of logic, maintainability, security, and performance than code created by people.

tons of tools for checking code,

promising 'Link:' argument that I hoped would explain why this pointless commit exists, but AS ALWAYS that link only wasted my time by pointing to the same damn information that was already there.

When you write tests, you might create a large setup method that initializes various objects. This leads to unnecessary overhead if only one test uses all these objects.