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 'JWT Invalid Signature' Failures in Production
JWT invalid signature errors often stem from key mismatches, encoding quirks, or unnoticed library pitfalls. This guide details concrete, real-world debugging steps.
Debugging UnhandledPromiseRejection in Node.js Applications
How to identify, isolate, and fix UnhandledPromiseRejection warnings in Node.js, with specific steps and sample incidents.
Diagnosing and Fixing Next.js Build Failures
A practical guide to debugging Next.js build errors, with actionable steps, overlooked root causes, and real-world war stories.
Diagnosing Silent Failures and Deadlocks in Python Asyncio
A precise engineering guide for tracking down deadlocks, silent failures, and missed awaits in Python asyncio — beyond the usual print debugging.
Diagnosing Broken Networking in Docker Containers
A practical guide for tracking down and fixing broken networking between Docker containers, with real commands, root causes, and verification steps.
Diagnosing React Context Unnecessary Re-renders Impacting Performance
React Context misuse can silently trigger excess renders in deeply nested trees. Learn how to spot, diagnose, and fix these performance killers.
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.