Debugging Stories is a curated collection of real-world debugging narratives that illustrate problem-solving techniques across hardware and software domains.
The collection addresses the challenge of learning debugging through concrete examples rather than abstract principles. It gathers documented accounts of actual bugs encountered in production systems, ranging from subtle race conditions and compiler issues to hardware-level problems and mysterious intermittent failures. Each story demonstrates the investigative process: how engineers identified symptoms, formed hypotheses, and traced root causes through layers of abstraction.
This resource suits developers seeking to build debugging intuition and pattern recognition. The stories span multiple domains—operating systems, game engines, web services, embedded systems, and language runtimes—making it valuable for anyone working across different technology stacks. The collection emphasizes bugs that are particularly instructive because they violate common assumptions: crashes that occur only on specific days of the week, random number collisions that should be statistically impossible, and performance regressions that only manifest under particular conditions. Rather than prescribing a single debugging methodology, the stories show how different tools and approaches apply to different problem classes.
The project maintains an open structure for community contributions, explicitly welcoming pull requests to expand the collection. Development activity is minimal and episodic rather than continuous, reflecting the nature of a curated reference rather than an actively developed tool.
