Beta v2.0: AI Code Monitor, plus Bitbucket, Codacy and Dark Mode
Video release notes: https://youtu.be/-ybsV6BCUz4
Introducing the AI Code Monitor
We've added the AI Code Monitor to the CTO Dashboard to help companies manage the risks and capture the benefits of code created in full or part by Generative AI tools like ChatGPT and GitHub CoPilot.
You can read more about the benefits and risks from Gen AI code here.
In the sample codebase analyzed, GenAI tools assisted with 25% of the code.
The AI Code Monitor includes the GBOM (tm) -- a Generative AI Bill of Materials identifying all the code in a codebase made with GenAI. It will be needed in all of the places that a Software Bill of Materials (SBOM) is needed today, and more.
It also includes a Compliance Standards Database, which will ultimately include all of the standards that companies using GenAI in their SDLC will need to comply with, based on their geographies and industries.
For example, for a company in the State of Baden-Württemberg, Germany:
- Per the pending EU AI Act, High-Risk AI systems in certain industries will face additional scrutiny and regulation.
- Per the German Copyright Act, companies won’t get copyright protection on their code unless the Gen AI code is sufficiently blended.
- Per the State government's LfDI AI Data Protection Discussion Paper from last week, there may be an additional scrutiny of companies that use Gen AI code to evaluate their employees' work product. This likely applies to companies with a custom-trained model.
Other improvements to the CTO Dashboard
The product now supports integration with BitBucket along with GitHub, and integrates data from the two version control systems seamlessly.
Multiple code quality metrics are now available from Codacy.
We're up to five integrations now:
You can select light or dark mode, or the tool will follow your system preferences.