GitAuto AI

GitAuto AISince 2024-02

GitAuto AI is an autonomous AI agent designed to resolve GitHub issues, add unit test coverage, and fix runtime errors with zero manual intervention. Built on top of fine-tuned coding models, GitAuto continuously monitors your GitHub repository, extracts issue requirements, generates precise multi-file diffs, and opens clean pull requests ready for review. It helps engineering teams boost code quality, eliminate backlog debt, and ensure continuous test coverage across evolving codebases.

GitAuto integrates with GitHub Webhooks and GitHub Actions to execute local build checks, verify code syntax, and validate unit tests before finalizing PR submissions. It features specialized modes for bug fixing, unit test expansion, and documentation generation. With strict SOC 2 compliance and ephemeral container execution, GitAuto guarantees complete source code privacy and data isolation.

Factory AISince 2024-03

Factory AI creates autonomous 'Droids'—specialized AI agents designed to automate the repetitive tasks across the software development lifecycle. From generating comprehensive unit test suites to reviewing pull requests, resolving security vulnerabilities, and migrating legacy codebases, Factory Droids operate seamlessly within your existing Git and CI/CD pipelines. Built for engineering organizations seeking to amplify developer productivity, Factory integrates directly with Jira, Slack, GitHub, and cloud providers to handle end-to-end engineering tickets.

Factory's Droids are orchestrated using a multi-agent framework that combines static analysis, dynamic AST parsing, and frontier reasoning models. Each Droid is specialized for a distinct engineering task, such as Code Review Droid, Test Generation Droid, or Migration Droid. They run safely within sandboxed execution environments, adhering to company security policies and compliance standards while delivering verified, actionable code diffs.