Reason

Product Introduction

1. Definition: Reason is an autonomous AI coding agent and cloud-based software engineering workspace. Technically, it is a multi-agent harness system that integrates with GitHub to automate the software development lifecycle.
2. Core Value Proposition: It exists to automate the coding workflow by connecting directly to repositories, allowing developers to assign issues, and having its cloud agents autonomously generate evidence-backed pull requests. This accelerates development cycles and reduces manual toil for engineers and engineering teams.

Main Features

1. Autonomous GitHub Agent: Reason's core feature is its cloud agent that operates directly on connected GitHub repositories. How it works: Users assign an issue from the repository to the agent. The agent then analyzes the codebase, plans and executes the necessary changes, and opens a pull request. This process is supported by screen recordings, execution logs, and review-ready diffs, providing full transparency into the agent's work.
2. Multi-Platform Workspace: Reason provides a unified workspace accessible via web app, desktop (macOS), and mobile. The web app (reasonmachines.com/agents) is the primary control panel. The macOS application allows Reason's cloud sessions to interact with local files, development tools, and open network ports, bridging cloud intelligence with local environments.
3. Programmatic API Access: For advanced integration and automation, Reason offers a comprehensive HTTP API. The API specification is documented at reasonmachines.com/llms.txt, enabling per-user programmatic control over agents and sessions, allowing teams to embed autonomous coding into their custom CI/CD or project management pipelines.

Problems Solved

1. Pain Point: It addresses developer bottleneck and context-switching overhead in the software development lifecycle. Manually triaging, investigating, and implementing fixes for GitHub issues is time-consuming and interrupts deep work.
2. Target Audience: Primary personas include solo developers, startup engineering teams (especially Y Combinator cohorts), open-source maintainers, and engineering managers seeking to increase team throughput. It is built for developers who use GitHub as their primary version control system.
3. Use Cases: Essential scenarios include: automatically fixing well-defined bugs, implementing small features or documentation updates, handling dependency upgrades, generating code from specifications, and providing a "second pair" of autonomous eyes on a codebase to reduce review load.

Unique Advantages

1. Differentiation: Compared to other AI coding assistants (like GitHub Copilot) which are primarily autocomplete tools, Reason is an autonomous agent that completes full tasks. Compared to other agent frameworks, Reason emphasizes a "minimal and maximal harness" philosophy—minimal for speed of iteration and maximal to leverage frontier AI models effectively—and provides a production-ready, cloud-hosted service with evidential output (recordings, logs).
2. Key Innovation: Its key innovation is the integrated, evidence-backed workflow. The system doesn't just output code; it produces a complete audit trail including a screen recording of its reasoning and actions, console logs, and a final diff. This "evidence-backed" approach builds trust and makes the pull request review process for human engineers significantly faster and more reliable.

Frequently Asked Questions (FAQ)

1. How does Reason AI work with GitHub? Reason AI integrates directly with your GitHub account via OAuth. Once you connect a repository, you can assign issues to Reason's autonomous agents from within the Reason web app. The agent clones the repo, works on the issue in an isolated environment, and automatically opens a detailed, evidence-backed pull request for your review.
2. What is an autonomous software engineer? An autonomous software engineer, in the context of Reason, refers to a cloud-hosted AI agent system that can perform complete software engineering tasks—such as debugging, feature implementation, and refactoring—from start to finish with minimal human intervention, culminating in a ready-to-merge pull request.
3. Is Reason better than GitHub Copilot? Reason and GitHub Copilot serve different purposes. Copilot is an AI pair programmer that suggests code completions and functions inside your IDE. Reason is an autonomous agent that completes entire tasks (like fixing an issue) outside your IDE and delivers the result as a pull request. They can be used complementarily.
4. How do I get started with Reason Machines? You can start by signing up at reasonmachines.com and connecting your GitHub repository. Current and alumni Y Combinator companies can access special credits via the Bookface deal. For programmatic access, review the API documentation at reasonmachines.com/llms.txt.
5. What kind of evidence does Reason provide for its work? For every task, Reason generates a comprehensive evidence package that includes a screen recording of the entire agent session, terminal logs of all commands executed, and the final Git diff. This allows engineers to review not just the code change, but the exact process and reasoning that led to it.