\n\n\n\n Alex Chen, Author at AgntAI - Page 143 of 154 Alex Chen, Author at AgntAI - Page 143 of 154

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.

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My AI Agents Struggle with Reliability (March 2026)

Hey everyone, Alex here from agntai.net. It’s March 2026, and I’ve been wrestling with something that I think a lot of you working with AI agents are probably feeling too: the sheer complexity of making these things actually work reliably in the wild. We’re past the “cool demo” phase for a lot of agentic systems.

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My AI Agent Debugging: Misplaced Commas & Existential Crises

Hey there, AgntAI.net crew! Alex Petrov here, fresh off a truly baffling debugging session that reminded me just how much we’re still figuring out in the world of AI agents. You know, the kind of session where you’re staring at logs, convinced your agent is having an existential crisis, only to find a misplaced comma

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Agent Evaluation Done Right: Practical Tips and Rants

The Tale of Frustration: Evaluating Agents Blindly
Oh, the stories I could tell you about agent evaluation gone wrong! I once spent close to three weeks trying to assess an agent’s performance using metrics that ended up being as useful as a wooden spoon in a bar fight. Imagine having your agent score 95% in

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RAG Systems in ML: The Good, The Bad, and The Ugly

The Time I Wanted to Throw My Laptop
You ever had one of those days where everything goes south, and you think you’re living in some twisted universe where tech creators laugh at your misery? That’s how I felt when I first deployed a RAG system. Let me tell you, RAG, or Retrieval-Augmented Generation, has

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Crafting Intelligent Agents: An Engineer’s Tale

Crafting Intelligent Agents: An Engineer’s Tale

Hey there! As someone deeply immersed in the world of machine learning and artificial intelligence, I’ve always found the concept of agent systems to be both fascinating and rewarding. The journey began a few years ago when I was tasked with enhancing a virtual assistant’s ability

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