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Mostly about building products, healthcare tech, and lessons learned along the way.
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Articles · Page 7
Older posts from the archive.
•7 min read
Why Your LLM Evaluator Is Lying to You
LLM-as-judge evaluators feel like quality assurance but behave like rubber stamps. They fail hardest on the outputs that matter most: edge cases, safety-critical errors, domain-specific nuance. What to do instead.
EngineeringRead more →
·6 min read
Why I Stopped Using RAG for Coding Agents (And What I Do Instead)
The instinct when building a coding agent is 'I need RAG to handle large codebases.' The better instinct is giving the agent tools to explore code the way a senior engineer would: reading files, following imports, tracing execution.
EngineeringRead more →
·5 min read
React Tooling 2024: Stop Using the Wrong Shit
20+ React apps built this year. What works, what's a waste of time, and why you're probably overengineering.
ReactRead more →
·8 min read
The Neural Net Training Recipe That Actually Works
I spent months chasing architecture fixes when my real problem was bad debugging hygiene. The training recipe that works: start simple, visualize everything, tune last. The unglamorous discipline that separates working models from expensive experiments.
EngineeringRead more →
·9 min read
You Don't Need GPT-4 for That: Small Models and Edge Agents
Frontier models aren't required for agentic function calling. For healthcare AI, assuming they are can also be a compliance liability. When a fine-tuned 7B model is the right architecture, and when it isn't.
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•8 min read
Multi-Agent Orchestration in Practice: What I Learned Building Parallel Agent Systems
The orchestrator/worker pattern is the key mental model for multi-agent systems. How to structure orchestrators, spawn and manage workers, aggregate results, and avoid the coordination failures that sink most implementations.
EngineeringRead more →
·8 min read
What It Actually Takes to Build a Real LLM Agent
Everyone's talking about agents. Few have shipped one that works in production. The failure modes, memory tradeoffs, and tool design decisions the architecture papers skip.
ReactRead more →
·8 min read
Three Hard Truths About LLMs in Production Nobody Warned Me About
Twelve years in ML and I still got burned. Stochasticity is a systems design problem. Your target model will be deprecated. Silent failures are worse than loud ones. What production healthcare AI taught me.
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·6 min read
What AI Agents Actually Are (And What They Can't Do Yet)
Everyone's building 'agents.' Most are just APIs with a system prompt. The precise definition, the components that matter, the failure modes I've hit, and how to pick the right pattern for your problem.
EngineeringRead more →