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.
Hidden state bug in React form: how to debug stale closures and state issues
Your React form submits old values, or a callback sees stale state. A closure captured a variable from a previous render and never updated.
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.
Diagnosing useEffect Infinite Loops in React Applications
A precise, engineer-focused guide to identifying and stopping infinite re-renders caused by useEffect loops in React, including subtle dependency pitfalls.
Tracking Down Node.js Memory Leaks in Production
Diagnosing and fixing Node.js memory leaks in real production systems, with step-by-step commands, signals, and non-obvious debugging tactics.
Pinpointing and Resolving TypeScript Type Errors in Complex Codebases
A detailed guide for engineers who need to systematically diagnose and resolve elusive TypeScript type errors in large, real-world projects.
Chasing Down the N+1 Query Problem in Production APIs
How to identify, analyze, and fix the N+1 query bug in backend APIs. Real commands, logs, and war stories from production-grade systems.
Long-form thinking on debugging habits, observability, and the systems around the bug.
The Debugging Mindset: A Systematic Method for Finding Root Causes
A repeatable, hypothesis-driven approach to debugging that works for intermittent failures, performance regressions, and production incidents.
Analyzing a Core Dump: What to Do When Your Process Goes Silent
A core dump is your process's last scream. Here's how to make it talk.
Timeouts Every Engineer Gets Wrong (and How to Fix Them)
Most timeout bugs aren't logic errors — they're configuration failures. Here's how to stop treating timeouts as magic numbers and start engineering them deliberately.
Backpressure in Streaming Systems: When Your Pipeline Fights Back
Backpressure is the system's way of saying 'slow down.' Ignore it and you get OOM crashes, silent data loss, or cascading failures. Here's how to design for it.
Finding Memory Leaks Step by Step: A Systematic Approach
Memory leaks are the silent killers of long-running services. Here's a repeatable process to hunt them down, from heap dumps to production monitoring.