Engineering
Load Testing Your API: Tools, Patterns, and Pitfalls
A practical guide to load testing APIs — covering tool selection, realistic traffic patterns, performance baselines, bottleneck identification, and common mistakes.
·4 min read
Categories
Engineering
Software craft & practices · 54 articles · Page 4 of 5
Engineering
Effective Technical Documentation for Engineering Teams
How to write technical documentation that engineers actually read — covering ADRs, runbooks, API docs, and documentation-as-code workflows.
·4 min read
Engineering
Debugging Memory Issues in Production Systems
Techniques for diagnosing memory leaks, excessive allocation, and OOM kills in production — covering heap snapshots, profiling tools, and common leak patterns.
·4 min read
Engineering
Trunk-Based Development: Why Short-Lived Branches Win
How trunk-based development with short-lived branches reduces merge conflicts, speeds up delivery, and keeps the main branch always deployable.
·4 min read
Engineering
Writing Resilient Integration Tests That Actually Catch Bugs
Patterns for integration tests that are reliable, fast, and catch real bugs — covering database setup, API testing, and avoiding flaky test syndrome.
·5 min read
Engineering
Functional Programming Patterns in TypeScript
Practical functional programming patterns for TypeScript that improve code clarity without requiring a complete paradigm shift.
·5 min read
Engineering
TypeScript Generics: From Confusion to Confidence
A practical guide to TypeScript generics that takes you from basic type parameters to advanced conditional types and utility patterns.
·4 min read
Engineering
Effective Code Reviews: Beyond Nitpicking and Rubber Stamps
How to give code reviews that catch real bugs, share knowledge, and improve team velocity instead of creating bottlenecks.
·4 min read
Engineering
Distributed Tracing: Following Requests Across Services
When a request touches five services, logs from each one are useless in isolation — distributed tracing ties them together with trace IDs, spans, and context propagation.
·3 min read
Engineering
Chaos Engineering: Breaking Things on Purpose
Chaos engineering is the practice of deliberately injecting failures into production systems to discover weaknesses before they cause real outages.
·3 min read
Engineering
Memory Leaks in Node.js: Detection and Prevention
Closures, event listeners, and uncleared timers — the most common memory leak patterns in Node.js and how to find them before they crash production.
·3 min read
Engineering
Feature Flags at Scale
Feature flags decouple deployment from release — here's how to implement them without creating a tangled mess of conditional logic across your codebase.
·3 min read