Choosing a deep learning framework used to be a religious debate. TensorFlow vs. PyTorch was the AI equivalent of tabs vs. spaces. In 2026, the landscape has shifted — PyTorch won the research community, but the story is more complicated than that.

The Major Frameworks

PyTorch. The dominant framework for AI research and increasingly for production.

If you’re building anything with neural networks in 2026, your choice of deep learning framework shapes everything — your development speed, deployment options, hiring pool, and even what kinds of models you can practically build. The framework wars have mostly settled, but the landscape is more nuanced than “just use PyTorch.”

The Current State of Play

85% of developers use AI coding tools, but most use them like fancy autocomplete. Here is how the best developers actually use them for 3-5x productivity.

Alright, folks, Leo Grant here, back with another deep dive into the wild world of agent development. Today, I want to talk about something that’s been nagging at me, something I’ve seen pop up in forum after forum, and honestly, something I struggled with myself just a few months ago: The “Shiny New Agent Framework”

Hey everyone, Leo here from agntdev.com! Today, I want to talk about something that’s been quietly changing how I approach building agents: the rise of specialized SDKs. Not just any SDKs, but the ones designed to make the orchestration of complex agent behaviors less of a headache and more of a fluid process.

For a