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Version 1.8.3

Here are our Release Notes for Artemis v.1.8.3​

Release date: 16 December 2024

🚀 New features and functionalities​

We have added LLM-based filtering to Code Analysis​

Code Analysis section of Artemis enables you to scan your codebase and extract targeted code snippets for further improvement. We have added an LLM-based filter here, where you can now use natural language queries to extract snippets easily. See additional documentation here: Code Analysis with LLMs.

We added a status bar to give a quick overview of background tasks​

We have added a status bar to the platform, so that you can have a quick overview of any tasks that are running in the background. Here is a quick overview: status bar image

Connecting with Bitbucket​

We added support for Bitbucket integration, so Bitbucket users can now authenticate natively with App Passwords. On Artemis, go to Settings ➡️ Git Keys ➡️ New Key to access the option to create a Bitbucket App password.

Added further functionality to Pair Coder​

We added live logs and task cancellation to Pair Coder, while making it easier to navigate through the steps of the workflow.

We added the ability for users to push changes directly to a Git repo​

For code versions and optimisations, you are able to push changes directly to a Git repo, to the same branch, where previously, Artemis made a new branch to push the changes.

We have added the Vertex V5 embedding model to Artemis​

We added Vertex V5 to the list of embedding models. Vertex V5 provides improved performance compared to V4.

📈 Improvements​

We made it easier for you to integrate with Git​

  • Now you can provide any type of Git Key, regardless of the protocol of the Git URL.

  • We included key deletion confirmation and commit pushing, which will make things smoother as you integrate Git to Artemis for private code repositories.

Improvements to make the platform more performant and responsive​

We have made multiple changes to make the platform more performant and responsive. Generating project embeddings and retrieving files during code analysis have particularly improved as a result.

🐞 Bug fixes​

We fixed an issue with enabling/disabling code versions affecting costs​

There was an error in how LLM costs were calculated when enabling/disabling code versions. We fixed this so that cost estimates are more accurate.

Platform-wide stability improvements​

We have made multiple minor fixes across the platform, especially with data encoding, which makes the platform much more stable.

🚨 Security​

Various security improvements​

We have made various security improvements across the platform. These improvements also make connecting to LLMs via Artemis much more secure.