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.

( 02 )Deep debugging guides

Structured investigations for the failure modes engineers meet in real systems.

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Guide

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.

Database
Guide

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.

Database
Guide

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.

Database
Guide

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.

Database
Guide

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.

Database
Guide

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.

Database
( 03 )Engineering articles

Long-form thinking on debugging habits, observability, and the systems around the bug.

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Article

How to Reproduce a Flaky Test: From CI Logs to Reliable Failure

A practical guide to turning intermittent test failures into reliably reproducible bugs, with techniques ranging from loop testing to thread sanitizers.

Testing
Article

Property-Based Testing: Finding the Off-by-One That Lived in Production for 18 Months

A concrete story of how switching from example-based tests to property-based tests caught a timing bug that had survived code review, QA, and 18 months of production traffic.

Testing
Article

How We Reduced End-to-End Test Flakiness by 80% with Deterministic Seeding

After months of chasing intermittent failures in our CI pipeline, we implemented a three-part strategy — deterministic seeding, isolated state per test, and a structured retry budget — that cut flaky end-to-end test failures by 80%.

Testing
Article

Snapshot Testing: The 5 Hidden Failure Modes That Will Break Your CI

Snapshot tests seem like a safety net, but they often hide real bugs, bloat diffs, and silently break your CI. Here are the five failure modes I've seen in production and how to fix them.

Testing
Article

Testing Async Code: Avoiding Flakiness and False Positives in JavaScript

Async testing is full of traps: unhandled rejections, race conditions, and tests that pass when they shouldn't. Here's how to write reliable async tests in JavaScript.

Testing
Article

Testing Error Handling Code Paths: A Practical Approach

Error handling code is often the least tested and most brittle. Here's how to cover those paths with fault injection, mocks, and chaos engineering.

Testing