AgentsLLMsEngineering
Why LLM Agents Fail in Production (And What to Do About It)
Agents look impressive in demos but break in unpredictable ways in production. Here's what I've learned about the failure modes and how to design around them.
12+ years in Software Engineering. Now building Agentic AI Solutions at Amazon, where I lead large-scale distributed systems, resiliency, and agentic AI systems.
Agents look impressive in demos but break in unpredictable ways in production. Here's what I've learned about the failure modes and how to design around them.
JSON repeats field names with every record, burning tokens at scale. Here's a simple format swap that cuts context token usage by 40–58% for tabular data.
Everyone can build a basic RAG pipeline. Making it production-ready is a different skill entirely. Here are the lessons I've learned the hard way.