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Author name: Alex Chen

Alex Chen is a senior software engineer with 8 years of experience building AI-powered applications. He has worked at startups and enterprise companies, shipping production systems using LangChain, OpenAI API, and various vector databases. He writes about practical AI development, tool comparisons, and lessons learned the hard way.

Machine Learning

Agent Debugging: A Developer’s Honest Guide

Agent Debugging: A Developer’s Honest Guide
I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes. If you’re working with AI agents, the debugging process can feel like navigating a minefield while blindfolded. Yet, it doesn’t have to be that way. This agent debugging guide is aimed to help

Operations

Agent Architecture: Stop Making These Mistakes

Why Are We Still Doing This?
Let me tell you about the time I almost smashed my laptop against the wall. Picture this: It’s a Friday night in 2025, and I’m debugging an agent system that was built by someone who, clearly, loved spaghetti more than clean architecture. Every single function was like an octopus—tentacles

Applications

My AI Agents Struggle: Finding Real-World Reliability

Hey everyone, Alex here from agntai.net. It’s Friday, March 21st, 2026, and I’ve been wrestling with a particular problem in AI agent development lately that I think many of you might be encountering too. We’ve all seen the incredible demos of agents that can browse the web, write code, and even manage complex projects. But

Machine Learning

Weaviate Pricing in 2026: The Costs Nobody Mentions

After testing Weaviate for 14 months at enterprise scale: the advertised prices are just the starting point of your bill, buckle up.

I’ve been running Weaviate as part of a production vector search infrastructure since early 2025, dealing with millions of entries and complex query demands. During that time, I’ve seen firsthand where the advertised

Machine Learning

How to Add Memory To Your Agent with Weaviate (Step by Step)

Weaviate Add Memory to Your Agent: A 2500-Word No-Nonsense Tutorial

If you want your intelligent agent to actually remember the context between conversations, you need to weaviate add memory to your agent the right way, using vector search to store and recall previous interactions. We’re not just tossing snippets into some database; we’re building an

Applications

Production ML Pitfalls: What Grinds My Gears

A Rant on Deployment Nightmares
Alright, let’s cut to the chase. You know what really grinds my gears when it comes to machine learning? People think deploying a model is just like clicking “Start” and poof, magic happens. Spoiler alert: it doesn’t. I’ve lost count of the times when a model, which performed impeccably well

Applications

Im Shifting How I Think About Agent Memory

Hey there, AgntAI.net readers! Alex Petrov here, and today I want to talk about something that’s been rattling around my brain for a while now: the surprisingly subtle but critical shift in how we think about agent memory. Forget your fancy new model architectures for a minute; I’m talking about the mundane, often overlooked details

Machine Learning

OpenAI API vs Claude API: Which One for Side Projects

OpenAI API vs Claude API: Which One for Side Projects?

The OpenAI API and Claude API are significant players in the developer space, especially when it comes to building AI applications. In March 2023, OpenAI’s model boasted integration into over 100 products, while Anthropic’s Claude API stepped firmly into the spotlight with its own set

Machine Learning

Railway vs Render: Which One for Side Projects

Railway vs Render: Which One for Side Projects
Railway has 15,432 GitHub stars while Render sits at 8,765. But honestly, the number of stars really doesn’t tell the whole story when it comes to picking the right tool for your side projects.

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