Guides & References
A curated collection of architectural deep dives, from-scratch system implementations, and infrastructure playbooks.
Deep Dives
Detailed architectural breakdowns of distributed platforms, real-time inference systems, authorization protocols, and full-stack performance.
React 19 Application Architecture & Server ComponentsOAuth 2.1 with PKCE & Secure Client AuthenticationHigh-Throughput LLM Serving with vLLM & PagedAttentionRetrieval-Augmented Generation (RAG) Production PlaybookVector Database Benchmarking: Milvus, Qdrant & pgvectorEvent Loop, Microtasks, and High-Concurrency Node.jsData-Driven Form Systems with Zod & Type-Safe SchemasClient-Side Cache Invalidation & Stale-While-Revalidate
Reinventing the Wheel
Taking complex systems apart to understand how they work from first principles. Custom emulators, inference engines, and developer tools.
Building a Tensor Compute Graph from Scratch in C++Writing a Custom Memory Allocator for High-Performance CachingBuilding an AST-Based Code Transformer and LinterBuilding a Zero-Dependency Microservice Framework in TypeScriptCoding a Real-Time Collaborative Canvas with WebSockets & CRDTsRoll Your Own Distributed Task Queue with Redis & BullMQ
DevOps & Infrastructure
Hardened infrastructure playbooks, GitOps deployment automation, containerization strategies, and Linux kernel observability.
Kubernetes Production Hardening & Multi-Cluster GitOpsDocker Multi-Stage Builds & Minimal Distroless ContainersLinux Kernel eBPF Observability & Network Performance TuningAutomated CI/CD Pipelines with GitHub Actions & ArgoCDPostgreSQL High-Availability, Replication & Connection PoolingZero-Downtime Database Migrations in Distributed Systems
Off the Clock
Occasionally I'll write about things that aren't strictly programming. Thoughts on productivity, engineering philosophy, and building in public.