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.
Diagnosing and Resolving Next.js Server Action Errors
Pinpoint and fix errors in Next.js server actions, focusing on non-obvious causes like serialization and environment mismatches.
React Custom Hook Stale Closure State Bugs
Advanced guide to debugging and fixing stale closure issues in React custom hooks, with real stack traces, code examples, and actionable steps.
Diagnosing Next.js Dynamic Import SSR Failures
Resolve Next.js SSR crashes caused by dynamic imports. Understand misconfigurations, hydrate mismatches, and JavaScript execution pitfalls in server contexts.
Debugging Next.js Streaming SSR: Stuck, Broken, or Incomplete Streams
Identify and resolve non-obvious Next.js streaming SSR bugs: hung responses, incomplete HTML, or silent server errors. Includes war stories and concrete tactics.
Diagnosing React's Controlled vs. Uncontrolled Component Warning
How to debug and resolve React's controlled/uncontrolled component warning, why it happens, and what to check when your inputs act weird.
next.js revalidatePath Not Refreshing Cache on Dynamic Routes
next.js revalidatePath sometimes fails to refresh cache, especially on dynamic routes. This guide covers real causes, debugging, and practical fixes.
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.