The best Large Language Models (LLMs) for coding have been trained with code related data and are a new approach that developers are using to augment workflows to improve efficiency and productivity. These coding assistants can be used for a wide range of code related tasks, such as code generation, code analysis to help with debugging, refactoring, and writing test cases, as well offering chat capabilities to discuss problems and inspire developers with solutions. For this guide we tested several different LLMs that can be used for coding assistants to work out which ones present the best results for their given category.
The are area of technology that is moving very quickly so while we do our best to keep this guide as up to date as possible, you may want to check if a newer model has been released and whether it fits your specific use case better. The best large language models (LLMs) for coding Originally released in October 2021, GitHub Copilot is a version of ’s Copilot LLM that is specifically trained with data to assist coders and developers with their work with the aim to improve efficiency and productivity. While the original release used ’s Codex model, a modified version of GPT-3 which was also trained as a coding assistant, GitHub Copilot was updated to use the more advanced GPT-4 model in November 2023.
A core feature of GitHub Copilot is the extension provided that allows direct integration of the LLM into commonly used Integrated Development Environments .
