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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.

AI Security

Autogen Studio Pricing in 2026: The Costs Nobody Mentions

After evaluating Autogen Studio pricing, I can confidently say it looks deceptively appealing but can become a financial black hole.

If you’re like me—spending hours coding and debugging in the trenches—you know that the costs associated with a platform can often blindside you. I decided to put Autogen Studio through its paces over the last

AI Security

DSPy vs Haystack: Which One for Side Projects

DSPy vs Haystack: Which One for Side Projects?

DSPy barely registers a blip on the GitHub radar compared to Haystack, but stars alone don’t tell the whole story. When you’re hacking on side projects, the question isn’t who’s got the flashiest metrics—it’s what gets your dirty prototype running fast, easy, and with minimal headaches. So,

AI Security

LangGraph vs DSPy: Which One for Side Projects

LangGraph vs DSPy: Which One for Side Projects
LangChain has 130,068 GitHub stars. DSPy has 32,930 stars. But stars don’t ship features. As a developer who’s been around the block a few times, I’ve seen countless frameworks and tools come and go. You can’t just take a tool at face value based on popularity alone.

AI Security

Autogen Studio in 2026: 7 Things After 1 Year of Use

After one year with Autogen Studio 2026: it’s decent for small projects, but you’ll run into headaches when scaling up.

Autogen Studio emerged as a promising contender in the no-code space, and I’ve spent the last year pushing its limits. I primarily used it for developing internal tools for a mid-sized startup, with teams ranging

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security

I Fixed My Bots CAPTCHA Problem—Heres How I Did It

Hey everyone, Pat Reeves here, dropping in from botsec.net. Hope you’re all having a decent week, and more importantly, that your bots are behaving and not causing any… unexpected incidents. It’s March 18th, 2026, and honestly, every day feels like a new frontier in bot security. Just last week, I nearly tore my hair out

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security

AI Security: Protecting Your Systems from Threats

LangGraph vs DSPy: Which One for Startups?

March 23, 2026

If you’re a startup founder or a developer trying to pick between LangGraph and DSPy for your next AI-driven application, you’re probably drowning in jargon and marketing fluff. I’ve spent the better part of the last two years working with both tools on multiple projects, and

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security

My 2026 Botnet Update: Authentication Bypass Tactics

Hey everyone, Pat Reeves here, back on botsec.net. It’s March 2026, and if you’re like me, you’re probably still reeling a bit from the sheer audacity of some of the botnet activity we saw last year. While the big headlines focused on the DDoS attacks and data exfiltration, something else has been quietly bubbling under

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threat-models

Google AI Studio Safety Settings: Your Essential Guide

Understanding Google AI Studio Safety Settings: A Practical Guide

As an AI security researcher, I’ve spent significant time examining the practical implications of AI models. One crucial area for any developer working with Google AI Studio is understanding and effectively configuring its safety settings. These aren’t just checkboxes; they are your primary tools for mitigating

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