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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.

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Semantic Kernel vs LlamaIndex: Which One for Small Teams

Semantic Kernel vs LlamaIndex: Which One for Small Teams
Real-world usage data shows that Microsoft’s Semantic Kernel boasts 27,528 stars on GitHub, while LlamaIndex shines with 47,875 stars. But here’s the catch: stars don’t mean functionality, particularly for small teams. Choosing between Semantic Kernel and LlamaIndex can be quite the task, especially considering the unique

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LangChain vs AutoGen: Which One for Production

LangChain vs AutoGen: Which One for Production?

LangChain has 130,624 GitHub stars. AutoGen has 56,035. But let’s be real, stars are just vanity metrics. What really matters is how these frameworks translate into real-world applications. In a landscape bustling with promises and potential, the differences between these tools mean more than just numbers; they dictate

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My 2026 Toolkit: Getting Things Done in the Digital Age

Hey there, toolkit builders and agent aficionados! Riley Fox here, back in your inbox (or browser, whatever your poison) with another dive into the nitty-gritty of getting things DONE. It’s March 22, 2026, and if you’re anything like me, your plate is overflowing with projects, ideas, and that one nagging thought about a better way

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How to Optimize Token Usage with ChromaDB (Step by Step)

How to Optimize Token Usage with ChromaDB (Step by Step)

If you aren’t paying attention to token usage in your vector database queries, you are burning through credits and performance faster than you realize—so here’s how to chromadb optimize token usage like you actually want to save money and speed.

What You’ll Build and Why

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My Workflow: Conquering Digital Clutter for Freelance Success

Hey everyone, Riley here from agntkit.net, bringing you another deep dive into the tools that make our digital lives, well, less chaotic. Today, I want to talk about something that’s been on my mind a lot lately, especially as I’ve been trying to streamline my own workflows for a few demanding freelance projects.

We all

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llama.cpp vs TensorRT-LLM: Which One for Small Teams

llama.cpp vs TensorRT-LLM: Which One for Small Teams

TensorRT-LLM has been reported to be 30-70% faster than llama.cpp on the same hardware. But faster doesn’t always mean better, especially for smaller teams with tight budgets and limited resources. The choice between llama.cpp and TensorRT-LLM can dramatically impact how quickly you can deploy models and iterate

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n8n vs Make: Which One for Production

n8n vs Make: Which One for Production?

n8n-io/n8n has a staggering 180,218 stars and 55,981 forks on GitHub, while Make (formerly Integromat) does not have a public open-source repo to compare directly. However, stars and forks don’t send you alerts or automate business-critical workflows. So, when it comes to deploying automation on your production environment,

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My Shift to Using Starters for Workflow Efficiency

Hey everyone, Riley here, back at agntkit.net!

Today, I want to talk about something that’s been on my mind a lot lately, especially as I’ve been trying to streamline my own workflows. We hear terms like “toolkit,” “library,” “package,” and “resource” thrown around pretty interchangeably in our line of work. But there’s one word that,

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FastAPI vs Hono: Which One for Startups

FastAPI vs Hono: Which One for Startups

FastAPI is batting at a remarkable 96,375 GitHub stars. Hono, on the other hand, doesn’t even come close in terms of popularity. But popularity doesn’t always mean it’s the best tool for the job. As a developer with over five years in the field, I’ve seen firsthand how

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How to Set Up Logging with Ollama (Step by Step)

How to Set Up Logging with Ollama: A Step-by-Step Guide

If you’re fed up with generic logging solutions and want a tailored approach, setting up logging with Ollama is the way to go. With Ollama’s GitHub repo boasting 165,618 stars, it’s clear that developers are rallying around this framework. However, if you skim through typical

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