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.
17 playbooks
Debugging Env Var Issues
A concise checklist for incidents where local works but CI, staging, or production changes behavior.
Debugging Cache Stampedes
How to recognize and contain request spikes when cached data expires.
Debugging CORS Origin Bugs
A practical way to inspect origin parsing, credentials, and header behavior.
Debugging Retry Bugs
Retry issues often hide the first failure and create duplicate work.
Debugging Timezone Bugs
Time bugs usually live at day boundaries, DST changes, and unit conversions.
Debugging Pagination Bugs
Pagination bugs hide in boundary math, cursor reuse, and new records arriving between pages.
Structured investigations for the failure modes engineers meet in real systems.
Debugging 'this' Being Undefined in JavaScript
A practical guide to diagnosing and fixing 'this' binding errors where this is undefined in JavaScript, covering async callbacks, class methods, and strict mode.
TypeScript Function Overload Resolution: Fixing 'No Matching Signature' Errors
A focused guide to resolving TypeScript's 'No matching signature' error during function overload resolution, covering advanced patterns and real-world debugging tactics.
JavaScript Regex Catastrophic Backtracking Debug Guide
Diagnose and fix catastrophic backtracking in JavaScript regular expressions. Real commands, specific patterns, and a real incident story.
Debugging JavaScript NaN Comparison: Why NaN === NaN is False
A practical guide to understanding why NaN comparisons always return false in JavaScript, with real debugging steps and fixes.
Why Optional Chaining Returns Unexpected Undefined
A debugging guide for when optional chaining (?.) unexpectedly returns undefined instead of the expected value or error.
TypeScript Partial/Omit/Pick Type Errors: When Utility Types Fail at Scale
Debugging type errors with Partial, Omit, and Pick in TypeScript — real causes, concrete fix patterns, and a war story from a production codebase.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Debugging Production Issues Without a Debugger: Approaches That Work
Attaching an interactive debugger in production is usually impossible. Here’s how I gather signal, reproduce issues, and restore service using other techniques.
Writing Bug Reports That Developers Appreciate
A good bug report is more than a template. Learn which details actually move the needle, and which common 'best practices' waste developer time.
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.
Defensive Logging: Patterns for Surviving Production Data Rot
Most logging advice stops at 'log more'. Here's how to log defensively—handling nulls, encoding, PII, and context propagation before they rot your observability pipeline.
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.