High-performing teams need products that help them accelerate — not more rigid and manual tools to slow them down. OpsLevel combines simplicity and flexibility through automation, AI, and customizability to
create a truly powerful Software Catalog.
OpsLevel’s Software Catalog is powered by AI, eliminating manual effort with automation and intelligence to ensure your catalog is always rich, accurate, and up-to-date.
Learn more about how AI and automation power the Software Catalog.
A robust software catalog is the foundation of a high-value developer portal. Now you can create a catalog tailored to your unique needs and define relationships between C, helping you identify dependencies and act fast when something needs fixing.
Learn more about Components in our docs.
You shouldn’t have to choose between customization and speed to value—why not have both? With OpsLevel’s flexibility and out-of-the-box features, you can tailor your developer portal for your workflows and team needs.
Your team needs information in context, not scattered across wikis and disparate tools. OpsLevel delivers everything your team needs directly within their workflows so they can stay focused on building, fixing, and shipping great code.
Old services lurking in the shadows? Our AI-powered Software Catalog pulls information from a service’s code base to generate a description of what it does so new owners can hit the ground running quickly.
Architecture Engineering Manager
OpsLevel’s AI assistance generates automated service descriptions using the contents of your repository files and data from across your services architecture.
Many services are missing descriptions in OpsLevel. This information offers critical context for broader engineering teams, but motivating service owners to keep them updated is a chore. With AI-generated service descriptions you get meaningful context added to your catalog automatically, without the hassle.
The feature is currently disabled by default on all existing customer accounts. As of Thursday, October 12, 2023, it will be enabled by default for new accounts. Access to the feature can be turned on (or off) at any time through the settings panel in your account.
In addition to OpsLevel’s typical code-scanning functionality, we’re using a large-language model hosted by OpenAI. If this feature is enabled, your repository contents could be submitted to the OpenAI API for analysis. OpenAI will read any repository content; it prefers documentation, but it will also read code.
We then leverage OpenAI’s GPT o1 and o1-mini to generate proposed service descriptions for any catalog entity missing one, based on the context it’s found in your linked repositories.
We have an agreement with OpenAI that none of your code is stored at rest permanently. Per OpenAI API Data Usage Policies, OpenAI will not use your data to train their models.
The agent transiently scans your documentation and code and uses it to make an inference about what a service’s description should be.
Similar to our repo checks, after computing a result, the original input code and documentation is eventually discarded.
We care deeply about who has access to your code and where it is stored. We handle your data in accordance with our Privacy Policy and data protection regulations. As always, our complete subprocessor list is available on our trust portal.
