Graydon Hoare's blog post explores the challenges of maintaining a clean codebase free of bugs, emphasizing the "Not Rocket Science Rule of Software Engineering," which advocates for automatically maintaining code repositories that always pass all tests. The post highlights the issue of merge skew, where changes made by different engineers can conflict, leading to a broken main branch and reduced productivity. Hoare discusses solutions like Bors, an early attempt at an automated merge queue, which aimed to mitigate these issues by ensuring only passing code is merged. However, Bors struggled with throughput, prompting further innovations. Companies like Google have tackled these challenges by implementing systems that parallelize testing and batch processing of commits to maintain high throughput without sacrificing test coverage. Recent developments, such as GitHub's new merge queue feature, aim to bring similar high-efficiency solutions to a broader audience, enabling teams to merge code changes quickly while minimizing disruptions caused by merge conflicts.