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Getting-started

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Getting started

A quick start guide for teams that are new to LOCI Agentic AI.

This guide is designed to start running with LOCI as quickly as possible. By the end of this guide, you will have:

  • Integrated the LOCI GitHub App or Action into your repository

  • Triggered LOCI analysis as part of your CI/CD, pull request (PR) workflow

  • Generated a LOCI KPI Validator as Report for a PR

  • Viewed LOCI insights directly in GitHub (PR checks, comments, or reports)

This quick start focuses on validating code changes early, providing actionable performance and correctness signals, and enabling confident merge decisions with minimal setup.

1

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Upload a Binary

Use our Upload API to submit a binary file for analysis.

2

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Check Progress

Poll for analysis completion using the /xapi-progress endpoint.

3

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Fetch Reports & Visualizations

Retrieve structured results including control-flow graphs, feature summaries, and version comparisons.

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Docs Overview

  • API Reference: Loci AI API Interact with our services using simple HTTP endpoints.

  • Projects and Reports: Learn how to manage multiple projects and browse past analyses.

  • Integration Guides: Use Loci AI in CI/CD pipelines, reverse engineering flows, or security audits.

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Need help? Reach out at [email protected]envelope

Let’s automate binary analysis — at scale, with AI.

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