Meet Corben, your AI software engineer.
From the first issue to the final pull request.
More momentum for everything you want to build.
Built for ambitious teams. Designed to work alongside you.
Let users sign in with their GitHub account. Follow the existing auth patterns and keep the email sign-in flow working.
A concept designed around the tools your team already knows
The Corben vision: an engineer that understands the task, does the groundwork, and brings the result back for your review.
A bug, a feature, a long-overdue improvement. Describe the outcome and give Corben the context.
Follow a clear trail from investigation to implementation, with progress visible in your workspace.
Review the proposed changes, share feedback, and decide when the work is ready to merge.
Enterprise-grade software needs clear boundaries, repeatable checks, and accountable decisions. These principles guide the Corben product vision.
Scope access to the task. Keep credentials out of source code, isolate execution, and review changes that touch authentication or sensitive data.
Define acceptance criteria, test failure paths, and verify the build. Review the diff and plan a rollback before a release.
Make permissions, activity records, data handling, and approvals part of the conversation before connecting a production codebase.
Keep engineering judgment with your team. Proposed changes should include context and verification evidence for a human reviewer.
Discuss your security requirements as a Corben Partner. Certifications, service levels, deployment options, and enterprise controls must be confirmed for any future service; this concept demo does not establish them.
Explore our approach ↗Help shape a new way of building software. We’re looking for teams and builders who want to be part of the journey from the beginning.
Bring your real engineering challenges and help define what Corben should solve.
Discuss how an AI engineer could fit your team’s tools, codebase, and workflow.
Start a conversation about collaborating as a team, developer, or technology partner.
Practical guides from the Corben engineering team on AI agents, software delivery, and reviewing the work.
An AI software engineer takes a whole ticket, plans it, writes and tests the code in its own environment and opens a pull request. Here's how it works.
Read article ↗AI-written PRs fail in specific, predictable ways. Use this 12-point review checklist to catch wrong assumptions, fake tests and security gaps before merge.
Read article ↗A coding assistant helps you write code faster. A coding agent takes the whole task and hands back a pull request. When to use each, with 2025 data.
Read article ↗Corben is a concept for an AI software engineer that helps teams take engineering tasks from an issue to a reviewable pull request. This website presents the vision; the workspace above is an interactive illustration.
Engineering teams, individual builders, and technology partners interested in shaping the product. Use the partner form to introduce yourself and describe what you would like to build together.
The demo is illustrative. You can explore example issues and progress updates, but it does not connect to your repositories, run code, or create pull requests.