Docker vs Kubernetes: Which One for Enterprise
As of now, Docker has over 60,000 stars on GitHub compared to Kubernetes’s impressive 113,000. But really, stars don’t directly correlate to enterprise capability; practical application does. This article will lay out a thick comparison of Docker and Kubernetes to help enterprises decide between these two giants. The
10 LLM Cost Optimization Mistakes That Cost Real Money
I’ve seen 3 startups go under this month. All 3 made the same costly LLM cost optimization mistakes that turned their promising projects into financial black holes.
1. Ignoring Model Complexity
Simple models might not solve all your problems, but complex models come with complexity costs.
LangGraph vs Semantic Kernel: Choose the Right Tool for Your Enterprise Needs
LangChain has 130,068 GitHub stars. Microsoft’s Semantic Kernel, on the other hand, has 27,506. But stars don’t make or break an application — it’s the functionality and user experience that will determine what maintains your enterprise’s edge. So should your company lean toward
Hey everyone, Morgan here, back at aidebug.net! Today, I want to talk about something that probably keeps most of us up at night, staring at a screen full of red squiggly lines and cryptic error messages: the dreaded AI error. Specifically, I want to dive into a particular type of error that’s been haunting my
Learn why AI systems fail silently and how to catch bugs with data drift detection, confidence thresholds, and observable pipelines.
Hey everyone, Morgan here, back with another deep dive into the messy, glorious world of AI debugging. Today, I want to talk about something that hits close to home for anyone building AI, something that often feels like a punch to the gut: the dreaded “silent error.”
You know the one. Your model is running,
Practical strategies for debugging AI systems, from data validation to LLM error handling, with code examples you can use today.
March 23, 2026
Alright, so you’re working on a side project, probably juggling APIs, integrations, or building some AI-powered mojo. You stumble upon two popular frameworks: LangGraph and Semantic Kernel. Both promise to simplify working with large language models and AI agents, but which one is actually
Hey everyone, Morgan here from aidebug.net, back in my usual coffee-fueled state, ready to dive into something that’s been bugging me (pun absolutely intended) in the AI debugging world. We talk a lot about model drift, data quality, and those big, scary deployment issues. But what about the little things? The insidious, silent killers that
Author: Riley Debug – AI debugging specialist and ML ops engineer
As an AI debugging specialist and ML ops engineer, I’ve seen firsthand the power and the pitfalls of Retrieval Augmented Generation (RAG) systems. RAG promises to ground Large Language Models (LLMs) with up-to-date, domain-specific information, drastically