Stop Flying Blind: We Built an LLM Evaluation Framework That Works Across 17+ Ag

<h2> Intro </h2> <p>When I first started building a text‑to‑SQL system, the obvious thing was to run the generated query against a database and compare the result with a ground

<p>Amazon Bedrock AgentCore Evaluations solves a real problem: you build agents on LangGraph, your teammate uses LlamaIndex, and the platform team is experimenting with the OpenAI

<p>My build passed on my laptop. It died on a free server in 40 seconds.</p> <p>Same code. Same lockfile. Same commit hash. So what changed?</p> <p>The answer is boring and

<h2> Introduction </h2> <p>Most LLM tutorials assume you start from nothing. A blank project. A clean architecture. No constraints. No legacy code. No deployment history. No