The Engineering Hiring Process That Actually Predicts Performance
Most technical interviews test interview performance, not engineering performance. Here’s the process we rebuilt from scratch after tracking outcomes for two years.
Web Performance in 2026: The Core Web Vitals That Actually Matter for Revenue
Not all performance metrics move the needle equally. Here’s the data on which improvements drive measurable business outcomes vs. which are just satisfying to optimize.
Kubernetes Isn’t Right for Every Team. Here’s How to Know If It’s Right for Yours.
Kubernetes is powerful, operationally complex, and often overkill. Here’s the honest decision framework for whether your team should adopt it.
API Design Patterns We Wish We’d Known in Year One
APIs are forever. The design decisions you make in year one are the decisions you’ll be backwards-compatible with in year five. Here’s how to get them right.
The Incident Post-Mortem Process That Actually Prevents Recurrence
Post-mortems are only as useful as the follow-through they generate. Here’s how to run them in a way that produces real change, not just documentation.
How We Scaled PostgreSQL to 50 Million Rows Without Breaking a Sweat
The queries that run fine at 5 million rows start failing at 50 million in specific, predictable ways. Here’s the playbook we followed to scale without a rewrite.
The Security Audit That Found 23 Vulnerabilities in Our Production API
We hired an external security team to audit our production API. Here’s every category of finding, why they existed, and how we fixed them.
React Server Components: Six Months in Production
We migrated a significant portion of our application to React Server Components. Here’s the honest assessment after six months in production.
Building a High-Availability Service: The Architecture Decisions That Matter
Four nines of availability (99.99%) sounds like a stretch goal. Here’s the architecture pattern that makes it an engineering problem, not a prayer.
Python Performance: Why Your Code Is Slow and How to Fix It
Python is famously slow — but most Python performance problems aren’t language problems. They’re code pattern problems. Here’s how to diagnose and fix them.