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Thoughts on code, architecture, and engineering
Monitoring tells you something is broken. Observability tells you why. Here's the stack and methodology I use to instrument production systems — from metrics and logs to traces and alerting that doesn't wake you up at 3 AM for nothing.
TypeScript at scale requires different patterns than TypeScript for a side project. Here are the type patterns and architectural decisions that keep large codebases maintainable, based on managing 200K+ line TypeScript projects.
A well-designed CI/CD pipeline is the backbone of engineering velocity. Here are the design principles I follow after building and maintaining pipelines for teams ranging from 3 to 50 developers.
Server Components change the mental model of React development. After building two production apps with RSC, here are the patterns that work, the pitfalls to avoid, and when client components are still the right call.
After optimizing PostgreSQL for three high-traffic production systems, I've compiled the tuning strategies that actually moved the needle — from indexing patterns to connection pooling and query optimization.
Migrating from Docker Compose to Kubernetes doesn't have to be a big-bang rewrite. Here's the incremental approach I've used across three production migrations — with real configs and hard-won lessons.
After shipping three B2B SaaS platforms from scratch, I've learned that microservices aren't a silver bullet — but applied correctly, they let small teams move fast without stepping on each other. Here's the architecture playbook I return to again and again.
After shipping a 50k RPS service in Rust, I returned to Node.js with a completely different mental model for performance. This is the story of memory models, threading, and why your async runtime is both better and worse than you think.
Designing APIs that developers actually enjoy using requires more than following REST conventions. After building and consuming dozens of APIs, here are the principles that matter most — from URL design to pagination, versioning, and error handling.
I've been writing JavaScript since 1999. jQuery felt like magic. React feels inevitable. This is the story of how we went from DOM manipulation to declarative UIs, and why the future probably isn't React.
The React state management landscape has matured significantly. After evaluating every major solution across multiple production apps, here's a pragmatic guide to choosing the right tool — and why you probably need less than you think.
Real-time data pipelines sound simple: ingest data, process it, serve results. In production with gigabytes per second, every architectural decision compounds. These are the lessons learned the hard way.
Training an ML model is the easy part. Serving it reliably in production — with proper input validation, versioning, monitoring, and scaling — is where the real engineering happens. Here's a battle-tested approach using FastAPI.
Launching a Next.js application to production is more than just running next build. After deploying six Next.js apps to production, here's the comprehensive checklist I wish I had from the start — covering performance, security, SEO, and operational readiness.