> For the complete documentation index, see [llms.txt](https://docs.loci-dev.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.loci-dev.net/loci-release-notes/loci-binary-analysis-in-your-ci-cd-release-notes.md).

# LOCI Binary Analysis in Your CI/CD Release Notes

AI has solved software generation. LOCI solves software understanding — for every pull request. Wherever your coding agents ship code, LOCI reads the compiled binary and catches what a source-level review can't see, before it merges. Here's what's changed, release by release.

[![View on Marketplace](https://img.shields.io/badge/GitHub%20Marketplace-View%20Action-blue?logo=github)](https://github.com/marketplace/actions/loci-action) [![Check Workflow Runs](https://img.shields.io/badge/Workflow%20Runs-View%20on%20GitHub-orange?logo=githubactions)](https://github.com/auroralabs-loci/loci-action/actions)

## LOCI Agentic AI – Hardware-Aware Optimization

**Line of Code Insights (LOCI)** Agentic AI is the First Hardware-Aware Optimization Agent for CPUs. It predicts power spikes and Performance inefficiencies before test or inference. Optimizes code, configs, and serving - autonomously. It uncovers anomalies in static data, shifts observability left, and predicts emerging trends in dynamic data, discovering hardware and software reliability issues, to reduce costs and time to resolution.

LOCI lets you upload compiled binaries for performance analysis, view insights directly in your workflow summary, and (if you install the GitHub App) automatically receive PR comments with results.

* `upload`: uploads binaries in `LOCI`.
* `summary`: waits for the analysis to complete and attaches the Agent Report to the workflow run summary.

  Comments on PRs are posted automatically by the GitHub App after completed binaries upload.