Buglyst Blog
Learn to debug under pressure.
Playbooks for fast pattern recognition, guides for the full investigation, and articles for the engineering judgment around the edges.
17 playbooks · 509 guides · 95 articles · 12 linked practice labs ·skip to practice
Fast pattern recognition for the production failures engineers see most often.
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Structured investigations for the failure modes engineers meet in real systems.
React Query Not Refreshing Stale Data Despite Invalidations
Diagnose and resolve cases where React Query fails to update stale data, even when invalidations or refetches are expected to trigger.
“Module Not Supported” Errors in Next.js Edge Runtime
A real-world guide to diagnosing and fixing 'module not supported' errors when deploying Next.js projects to the Edge Runtime.
React Portal Allows Click Events to Bubble Outside Intended DOM
When using React portals, click or key events can bubble up to unexpected ancestors, triggering handlers outside their intended boundaries.
Vue Reactive Property Not Updating in Template
Diagnose and resolve cases where Vue's reactive data fails to reflect changes in the UI, including edge cases beyond the classic pitfalls.
Diagnosing Nuxt Hydration Mismatch Errors in Production
Hydration mismatch errors in Nuxt apps break SSR interactivity and can be tough to pinpoint. This guide walks through investigating, reproducing, and fixing these.
Why Your Vue Composition API ref Isn’t Reactive
Vue’s Composition API refs sometimes fail to trigger reactivity. This guide covers subtle causes, practical debugging, and real-world fixes for non-reactive refs.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Assert Statements: Where They Help and Where They Hurt
Assert statements are a double-edged sword. Used correctly, they catch bugs early and document invariants. Used carelessly, they can mask failures and create security holes. Here's how to wield them effectively.
Debuggers vs Console.log: Why I Stopped Using Print Statements for Debugging
Print statements are the duct tape of debugging. They work for trivial issues, but for race conditions, async flows, or deep call stacks, a debugger saves hours. Here's what I learned after years of using both.
Treating Bugs as Hypotheses: How the Scientific Method Fixes Debugging
Frustrated by flailing through logs? The scientific method turns debugging into a reproducible process. Here's how to formulate hypotheses, design experiments, and isolate root causes with confidence.
How to Debug a Regression: A Practical Walkthrough
A practical, step-by-step guide to finding and fixing regression bugs, with real-world examples and concrete commands you can run today.
The Cost of Not Reproducing Bugs: Why Local Debugging Saves Hours
Skipping local reproduction leads to wasted hours, broken deploys, and frustrated teams. Here's why it's non-negotiable and how to do it right.
Debugging an Unfamiliar Codebase: A Systematic Approach
A repeatable process for debugging code you didn't write — with specific techniques, tooling choices, and a war story from a production outage at 2 AM.