AI Engineering
From Prototype to Production: Structuring AI Outputs as API Contracts
How to turn experimental prompts into reliable AI services with structured outputs and fallback strategies
Blog
Thoughts on AI engineering, backend, frontend, and building modern software.
MLOps
The Hidden Cost of Quiet Prompt Changes: How Small Adjustments Trigger Big LLM Spend
A senior engineer's guide to tracking subtle prompt tweaks that inflate cloud costs and break production systems without raising alarms
LLMs
Practical Lessons in LLMs: Real-World Tradeoffs and Implementation Pitfalls
Building production systems with large language models requires balancing speed, cost, and reliability. Learn concrete strategies for deployment, optimization, and avoiding common pitfalls.