Summarizing Post Incident Reviews With GPT-4
- Wuji Zhu tl;dr: "We start by fetching the report from Confluence and parsing the HTML to extract the content of the PIR as raw text. We then remove sensitive data, including links, emails, and Slack channel names, to avoid exposing internal information to public models and ensure blameless summaries. We then send the text version of the report to GPT-4 chat completion to generate a summary." This is then archived with additional metadata and summarized onto the Jira ticket. Wuji provides an overview of how this is operationalized.featured in #468
My Problem With The Four-Document Model
- Hillel Wayne tl;dr: Hillel critiques the 4doc model for user documentation, highlighting that it's not universal or comprehensive. While effective for tools, it may not suit frameworks and languages. The key takeaway is that relying solely on the 4doc model can limit documentation effectiveness, and a more flexible approach that considers the specific subject being documented is encouraged.featured in #438
Motivating Developers To Care About Documentation
- Paulo André tl;dr: Ask yourself why you need documentation e.g. making better decisions across the org, helping people get the right information, making onboarding more self-service. "If we’re deciding whether to write something, we should ask whether writing it will help us with one of those objectives." Paulo suggests pointing your team towards the "why" and also provides tips for maintaining the practice.featured in #309
featured in #169