Get Involved as a Developer

If you are a developer and would like to engage with the AI4CI project, here are a few ways to get started and we compile a list of ways you can engage with this project.

CI/CD Data Sources

As part of the AI4CI project, we collect data from various CI/CD data sources and build tools to analyze them and derive meaningful insights from them.

The applications and CI/CD tools we currently collect data from are as follows:

• TestGrid
• Prow/GCS Artifacts
• Github
• Bugzilla
• Telemetry

Interact with Dashboards

As a part of AI4CI, we collect the relevant metrics and key performance indicators (KPIs) from various CI/CD data sources and visualize them using dashboards. You can view and interact with the publicly available dashboard here.

Interact with Model Endpoints

• Github Time to Merge Model: We have an interactive endpoint available for a model which can predict the time taken to merge a PR and classifies it into one of a few predefined time ranges. To interact with the model, check out this Model Inference Notebook

  You can find more information about Github Time to Merge Model here.

• Build Log Clustering Model : We also have an interactive endpoint for a model that uses unsupervised machine learning techniques such as k-means and tf-idf for clustering build logs. To interact with the model, check out this Seldon deployment.

Video Playlist

Here is a video playlist for the AI4CI project which goes over different analyses and walks through various notebooks within the project.