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.
Redis Pub/Sub Subscriber Not Receiving Messages: A Debugging Guide
A practical guide to debugging Redis Pub/Sub when subscribers miss messages. Covers channel mismatches, client disconnections, and message ordering issues.
Redis Cluster Slot Migration Error: Diagnosis and Fix
A practical guide to diagnosing and resolving slot migration errors in Redis Cluster, covering common causes, verification steps, and real-world fixes.
Prisma Migration Drift: Schema Mismatch Between Generated Client and Database
When Prisma's generated client doesn't match the actual database schema, migrations fail or produce inconsistent results. This guide covers detection, root causes, and fixes for schema drift.
How to Find and Fix Prisma N+1 Queries with include and select
A practical guide to debugging N+1 query problems in Prisma when using include and select, with real commands and specific fixes.
TypeORM Relation Eager vs Lazy Loading Errors: Debugging Unexpected Query Behavior
When TypeORM relations load too many or too few rows, the culprit is often a mix of eager and lazy loading settings. This guide covers debugging unexpected query patterns and fixing silent performance issues.
Debugging GraphQL N+1 Queries with DataLoader Batching
When DataLoader batching fails, GraphQL resolvers generate cascading database queries that kill performance. This guide shows you how to find, fix, and verify the N+1 pattern with concrete tools.
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.