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Writings on AI, software engineering, and the craft of building systems that work. Exploring ideas at the intersection of technology and curiosity.

Mar 15, 2026

Scaling RLHF Systems: Lessons from the Trenches

Practical insights on scaling Reinforcement Learning from Human Feedback systems, covering data quality, annotator management, and infrastructure challenges

AIRLHFScaleMachine Learning

Feb 28, 2026

Building Distributed Annotation Platforms

Architecture patterns and lessons learned from building large-scale data labeling systems that power machine learning pipelines

DevelopmentDistributed SystemsArchitecture

Feb 10, 2026

Prompt Engineering in Production

Battle-tested strategies for building reliable LLM-powered features, from prompt versioning to failure handling and evaluation

AILLMPrompt EngineeringProduction

Jan 25, 2026

TypeScript Patterns for AI Applications

Type-safe patterns for building robust AI-powered features with TypeScript, covering API wrappers, streaming, and error handling

TypeScriptDevelopmentAIBest Practices