\n\n\n\n Alex Chen – Page 173 – Agent 101

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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Cómo Explicar los Agentes de IA a Tu Jefe

Si alguna vez has pasado 3 horas tratando de explicar la IA a alguien que piensa que una hoja de cálculo es tecnología avanzada, sabes que puede sentirse como hablar con una pared. Pero los agentes de IA están apareciendo por todas partes, así que convencer a tu jefe es crucial. Vamos a desglosar los agentes de IA como si estuviéramos charlando sobre un café,

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La Historia de los Agentes de IA: De Eliza a 2026

Cuando intenté hablar con Eliza por primera vez—un simple programa de computadora de los años 60 que pretendía ser un terapeuta—me sentí tanto asombrado como frustrado. ¿Conoces esa sensación cuando te das cuenta de que estás hablando con algo que no es real, pero que de alguna manera se siente como magia? Sí, eso era Eliza. Ella decía cosas como “Cuéntame

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My AI Remembers: Achieving Persistent Context Across Tasks

Hey there, agent-in-training! Emma here, back on agent101.net, and today we’re diving headfirst into something that’s been buzzing around my brain (and my dev environment) for weeks: how to get your AI agent to actually *remember* stuff. Not just remember for one task, but carry that context, those learnings, that personality across multiple interactions. Because

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My 2026 AI Agent Journey: Tackling the Intimidation Factor

Hey everyone, Emma here from agent101.net!

It’s March 2026, and if you’re anything like me, you’ve probably heard the buzz about AI agents getting smarter, more capable, and frankly, a little more intimidating to get started with. Just a couple of years ago, we were all marveling at LLMs writing poems; now, they’re practically running

Beginner Guides

5 Cost Monitoring Mistakes That Cost Real Money

5 Cost Monitoring Mistakes That Cost Real Money
I’ve seen 3 production deployments fail this month. All 3 made the same 5 cost monitoring mistakes. The reality is, cost monitoring can be a minefield if you don’t know where to step. Neglecting certain aspects can lead to budget overruns that could’ve been easily avoided. Here’s

Beginner Guides

Cursor vs Continue: Which One for Enterprise

Cursor vs Continue: Which One for Enterprise?

When it comes to choosing a coding assistant, the stakes are high. The right tool can save developers countless hours, boost productivity, and make coding a relatively more enjoyable experience. Cursor and Continue are two popular contenders in this space, but they couldn’t be more different. According to

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Chunking Strategy Checklist: 12 Things Before Going to Production

Chunking Strategy Checklist: 12 Things Before Going to Production

I’ve seen 3 production agent deployments fail this month alone. All 3 made the same 5 mistakes. As developers, we often overlook the importance of a solid chunking strategy, and, honestly, that can lead to some serious headaches down the road. Whether you’re dealing with large

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My AI Agents Now Talk to Other Services: Heres How I Did It

Hey there, agent-in-training! Emma here, back on agent101.net, and today we’re diving into something I’ve been wrestling with (and finally conquering!) over the last few weeks: getting our AI agents to actually talk to other services. Not just a one-off ping, but a proper, multi-step conversation. Because let’s be real, a truly useful agent isn’t

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Data Privacy in AI: A Developer’s Honest Guide

Data Privacy in AI: A Developer’s Honest Guide

I’ve seen 5 organizations this month get fined for data privacy violations in their AI implementations. All 5 ignored the foundational aspects of data privacy.

1. Understand Data Minimization
Why it matters: Data minimization is the concept of only collecting and storing data that is strictly

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