Agent Frameworks

Alright, folks. Leo Grant here, back in the digital trenches with you. It’s Monday, March 23rd, 2026, and I’ve been wrestling with something pretty fundamental lately: the “build” part of agent development. Not just the coding, but the entire process of taking an idea, a set of constraints, and turning it into a functioning, autonomous

Alright, folks. Leo Grant here, back from a particularly deep rabbit hole. This past week, I’ve been wrestling with something that’s been bugging me for a while: how do we actually build agents that aren’t just glorified script runners, but genuinely adaptable, context-aware entities?

I mean, we’ve all seen the demos. The shiny new LLM-powered

FastAPI vs Express: Which One for Side Projects?
FastAPI has amassed 96,460 GitHub stars while Express sits at 60,678 stars. It’s clear developers have their preferences, but here’s the kicker: stars don’t ship features. FastAPI has gained traction in recent years due to its asynchronous capabilities and type hints, but does that make it better

PydanticAI vs Semantic Kernel: Which One for Small Teams
Here’s the deal: PydanticAI has 15,652 GitHub stars whereas Semantic Kernel boasts 27,522. A lot of developers get entangled in star counts, but stars don’t equate to quality or ease of use, especially for small teams. If you’re in a small team and have limited resources,

Hey everyone, Leo here from AGNTDEV.com. Hope you’re all having a solid week. I’ve been buried deep in some agent-related rabbit holes lately, specifically around the practicalities of getting agents to actually do things in the real world, beyond just chatting or generating text.

We talk a lot about agentic frameworks, reasoning loops, and all

Pinecone vs Weaviate: Which One for Production
Pinecone has 420 GitHub stars, while Weaviate boasts 15,839. But hey, stars don’t mean much if the product doesn’t deliver. Today, I’m comparing Pinecone and Weaviate, two popular vector databases, to help you make an informed choice about which one to roll out in your production environment.

Agent Frameworks

Make vs Activepieces: Which One for Small Teams

Alex Chen / March 21, 2026

Make vs Activepieces: Which One for Small Teams

Activepieces currently processes over 400,000 automated workflows every month, while Make seems to hit around 700,000. But the number of workflows doesn’t deliver value if the tool isn’t right for you.

Agent Frameworks

Im Exploring SDKs for AI Agent Workflows

Alex Chen / March 20, 2026

Alright, folks. Leo Grant here, back in the digital trenches of agntdev.com. Today, we’re not just kicking tires; we’re getting under the hood of something that’s been quietly but profoundly changing how I think about building agents: the subtle art of the SDK, specifically when it comes to integrating those clever AI models into our

Agent Frameworks

DSPy in 2026: 7 Things After 3 Months of Use

Alex Chen / March 20, 2026

After 3 Months of Using DSPy: It’s Good for Basic Prototypes, but Painful in Production

As a developer with a penchant for trying out the latest tools, I’ve spent the last three months experimenting with DSPy, Stanford’s open-source tool for machine learning applications. With 32,947 stars and a healthy community around it, I was excited

Agent Frameworks

Pinecone vs Weaviate vs Qdrant: Vector Db Showdown

Alex Chen / March 20, 2026

Quick Numbers: Pinecone vs Weaviate vs Qdrant