After 3 months with Qdrant in 2026: It’s an excellent choice for specific use cases, but has some critical drawbacks.
When I jumped into using Qdrant this year, my goal was clear: to build a scalable solution that could manage a variety of vector searches efficiently. With the rapid rise of AI and machine learning,
AutoGen vs PydanticAI: Choosing the Right Framework for Startups
Microsoft’s AutoGen has racked up 55,875 stars on GitHub, while PydanticAI trails behind with 15,573. But here’s the kicker: stars don’t build your startup. In the wild west of AI frameworks, picking the right tool between AutoGen and PydanticAI can make or break your project’s success.
Hey there, Clawgo faithful! Jake Morrison here, back at the keyboard and buzzing about something that’s been subtly, then not-so-subtly, shifting how I get things done. We talk a lot about AI agents on this site, the big picture stuff, the future, the implications. But today, I want to zero in on something much more
AI agents automate judgment-heavy dev workflows. Here’s how they work, which frameworks to use, and practical tips to build your first one.
Hey Clawgo fam, Jake Morrison here, bringing you another dive into the wild and wonderful world of AI agents. Today, I want to talk about something that’s been buzzing in my own head for the last few months, something that’s shifted from a cool concept to a genuine productivity booster for me personally: Agent Teams.
A practical guide to AI agents, automation workflows, and the agent frameworks worth using in 2026. Includes code, tips, and real patterns.
