AI Binary Analysis in Your CI/CD

LOCI adds AI-based binary analysis to your CI/CD workflow.

It helps teams review performance before issues reach testing or production.

In this section

• Ready to integrate in Your CI/CD

• GitHub Integration

• Azure DevOps Integration

Start with the workflow. Then use the GitHub pages for setup and examples.

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CI/CD Workflow

LOCI fits into your existing build workflow with two steps.

1

Upload

Run this step right after your build.

• Upload compiled binaries to the LOCI backend.

• Start analysis immediately.

• Trigger automatic PR comments when the LOCI GitHub App is installed.

2

Summary

Run this step when you want results in the workflow UI.

• Wait for analysis to finish.

• Pull results back into the job.

• Show the Agent Report and Function Insights in the workflow summary.

Use upload on every run. Add summary when reviewers need results inside GitHub Actions.

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CI/CD Benefits

LOCI adds hardware-aware analysis to your pipeline before tests finish.

What you gain

• Pre-test analysis catches performance and hardware interaction issues early.

• Autonomous optimization gives concrete suggestions for bottlenecks.

• Performance gates help block regressions in pull requests. Gates are defined in your repository's Contract Envelope (.loci/contract.yaml) — see contract

Where results appear

• In the LOCI backend after upload.

• In the workflow summary when you run summary.

• In pull requests and checks when the LOCI GitHub App is installed.

This helps teams catch regressions sooner and review performance in the same flow as code changes.