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.
18 playbooks · 509 guides · 96 articles · 13 linked practice labs ·skip to practice
Fast pattern recognition for the production failures engineers see most often.
18 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.
Configuration Options Not Binding in .NET: How to Debug
A practical guide to debugging .NET configuration binding failures, covering real-world causes like casing mismatches, missing sections, and premature validation.
Elixir GenServer call timeout: How to find and fix the real cause
A hands-on guide for debugging Elixir GenServer call timeouts: from symptoms and root causes to specific fixes and verification steps, with a real incident walkthrough.
Phoenix LiveView assign not updating UI: Debugging Stale State
A practical guide to debugging Phoenix LiveView UI that doesn't update after an assign change. Covers socket diffs, Ecto schema reloads, and dead-end pitfalls.
Debugging Ecto N+1 Preload Queries in Elixir
Identify and fix N+1 query problems caused by Ecto preload misuse in Elixir/Phoenix applications.
Elixir Process Mailbox Overflow: How to Diagnose and Fix Unbounded Message Accumulation
Diagnose and fix Elixir process mailbox growth that causes memory pressure, latency spikes, and crashes. Covers OTP mailbox internals, redbug, recon, and practical fixes.
Kotlin Coroutine Not Cancelling: Debugging Stuck Jobs
A practical guide to debugging Kotlin coroutines that ignore cancellation, covering common pitfalls like blocking calls, uncooperative suspend functions, and improper scope management.
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.