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.
Works locally but fails in production: how to debug it
Your code runs fine on your machine but breaks the moment it hits staging or production. Here is a structured approach to find the gap.
Feature flag bug: how to debug unexpected feature flag behaviour
A feature flag is supposed to be off for some users but is on for everyone, or vice versa. The flag value, targeting rules, or flag evaluation is wrong.
Redirect URL wrong in production: how to debug redirect bugs
Your app redirects users to `http://localhost:3000/dashboard` in production. The redirect URL is hardcoded, or the origin detection is picking up the wrong value.
Production-only bug: a systematic debugging checklist
A bug only appears in production. You cannot reproduce it locally. Here is a systematic checklist to find environment-specific failures.
Tracking Down Race Conditions in JavaScript Async Logic
Diagnose and fix tricky race conditions in JavaScript asynchronous code—beyond textbook theory. Get actionable steps, examples, and real-world guidance.
Diagnosing `ref.current` Is Null in React
A practical guide to tracing and fixing cases where a React ref's `current` is unexpectedly null, including async pitfalls and strict mode quirks.
Long-form thinking on debugging habits, observability, and the systems around the bug.
How to Debug Legacy Code Without Losing Your Mind
A pragmatic approach to debugging code you didn't write, with techniques for tracing execution, isolating side effects, and making safe edits.
Debugging Feature Flag Rollouts: Tracing the Live-at-5 Incident
A misconfigured feature flag triggered a cascading failure in production. Here's how we traced the root cause and built a better debugging toolkit.
How to Ask for Debugging Help Without Wasting Everyone's Time
Asking for debugging help is a skill. Here's how to provide enough context, show your work, and frame the problem so others can actually help you.
Documenting Bugs: A Postmortem-Driven Approach That Cut Recurrence by 60%
Most bug write-ups are useless. Here's a structured, postmortem-driven approach that reduced bug recurrence by 60% in our team — with templates and a real incident walkthrough.
Debugging as Hypothesis Testing: A Mental Model for Systematic Root Cause Analysis
Most debugging is frantic guessing dressed up as experience. Here's a mental model that treats debugging as a scientific process — form hypotheses, design experiments, and isolate root causes systematically.
How to Read Error Messages: A Debugging Protocol
Most engineers skim error messages and miss the signal. Here's a repeatable protocol for extracting maximum information from stack traces, log lines, and crash dumps — with a real incident walkthrough.