What's the best LLM for software development?

With so many available LLMs to power your AI code assistant, how are you supposed to choose the best one for your needs? Is it all about model size? What other considerations should you take into account? Tabnine’s capability allowing for different models has given us a unique perspective on model performance in the real world.

In this Tabnine Live Shantanu, and Aydrian will walk you through a live stream demo and Q&A session where we’ll sort through the answers. We’ll share performance insights on model usage & code acceptance rates to show you the highest performing model for specific software development use cases.

Here’s what we’ll cover:

– What the future of LLMs for software development looks like
– How AI agents, context, and LLMs work together to generate useful code
– Real world performance data on Codestral, Command R, Claude 3.5, GPT-4o, and Tabnine Protected
– The highest performing LLM by software development use case: error fixing, explaining code, searching code, generating code, unit tests and documentation.
– How to switch models in real time to get the best performance and meet your project needs
– How to connect your own LLM endpoints to Tabnine
– How to control the models available to your engineering team