After 3 months of working with Microsoft’s Semantic Kernel: it’s useful for quick automations, but you’ll hit walls if you aim for production.
In the ever-expanding field of AI development, the introduction of Microsoft’s Semantic Kernel in 2026 has stirred up quite the conversation. After 3 months of hands-on experience using it for a personal
DSPy vs Semantic Kernel: Which One for Side Projects
As of now, there are a multitude of frameworks and tools available to developers working on AI-related side projects. While many enthusiasts parade around claiming that countless stars on GitHub validate their choice of tech, the truth is statistics can often be misleading. For instance, LangChain
Setting Up Monitoring with Autogen Studio: A Step-by-Step Tutorial
We’re setting up monitoring with Autogen Studio so you can keep an eye on your pipeline, which is crucial for avoiding headaches later on.
Prerequisites
GitHub Copilot vs Cody: Which One for Production?
According to various recent surveys, developers spend an average of 6+ hours a day writing code, with 38% of them saying they face challenges due to repetitive tasks. With that much time on the line, tools like GitHub Copilot and Cody aim to enhance productivity by offering
Adding Memory To Your Agent with Pinecone
Memory is vital for any AI agent looking to perform complex tasks effectively, and with Pinecone, enhancing your agent’s memory is straightforward. This detailed tutorial will guide you through how to add memory to your agent using Pinecone, step by step. It’s not just about having a chatty