Too many software development teams treat error logging as a burden rather than a chance to grow.That’s why Jeli’s “Howie: Post-Incident Guide” felt like a breath of fresh air. In the guide, Jeli’s team notes that negative treatment of bugs is everywhere, including the language we use to describe software development. Terms like “post-mortem” and “root-cause analysis” speak for themselves.We’d like to build on the suggestions put forward in Howie and share our perspective on error logging as well. So let’s take a look at how a small mindset shift around debugging could encourage more positive moments in your team.
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Software bugs can be a significant source of frustration for developers and users alike. These errors in code can lead to crashes, data loss, and other issues that can negatively impact the user experience. Identifying and resolving software bugs is crucial for ensuring the quality and reliability of software applications. Artificial intelligence (AI) advances have made it possible to detect and diagnose software bugs more quickly and accurately than ever before