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.
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Structured investigations for the failure modes engineers meet in real systems.
Debugging GitHub Actions Cache Restore Miss: Why Your Actions Aren't Finding Cache
A practical guide to diagnosing and fixing cache restore misses in GitHub Actions workflows, covering key collisions, exact key matching, and non-obvious causes like branch scoping.
GitLab CI Pipeline Stuck in Pending: Debugging Runner Availability and Tag Mismatches
Diagnose why your GitLab CI pipeline stays pending. Covers runner registration, tag mismatches, concurrency limits, and queue backlogs.
Debugging Jenkins Pipeline Build Failures That Don't Show in Console Output
A practical guide to debugging Jenkins pipeline build failures that fail silently, with no obvious errors in the console log.
Pre-Commit Hook Failing: Debugging and Fixing Hook Execution Errors
A practical guide to diagnosing and resolving pre-commit hook failures in Git repositories, covering configuration, environment, and script issues.
ESLint Rule Conflict: How to Diagnose and Fix Competing Linter Directives
A complete guide to resolving ESLint rule conflicts where two or more rules produce contradictory outcomes, breaking your lint pipeline or CI.
semantic-release Not Creating a Release: Debugging the Silent Fail
A practical guide to debugging why semantic-release runs without errors but produces no release. Covers token issues, commit message parsing, and GitHub branch protection.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Mocking External APIs in Tests: Why stubbing HTTP is harder than it looks
Stubbing HTTP calls seems easy until a subtle mismatch between your mock and the real API causes a production incident. Here's what I learned the hard way.
How I Diagnosed a 1-in-1000 Race Condition in Our CI Pipeline
A race condition that only appeared once every thousand CI runs took weeks to track down. Here's how we finally caught it, what tools helped, and what we changed to prevent similar bugs.
Debugging Flaky Tests for Good: A Systematic Approach to Root Cause Analysis
Flaky tests waste time and erode trust. Here's how to find and fix the actual root cause instead of just rerunning.