Forge

Forge is an autonomous software-engineering agent for teams that want AI to do more than autocomplete code. It turns GitHub issues and pull requests into structured, reviewable workflows: planning changes, inspecting repositories, editing code in an isolated sandbox, running validation commands, generating verified patches, and returning clear review output to developers. Unlike a chat assistant, Forge operates as an execution system. Maintainers can label an issue, trigger a plan, approve execution, and let Forge carry out bounded tasks in a controlled environment. It can clone a repository, reason through the request, make targeted edits, validate results, and prepare a branch or patch for human review. Forge also supports native pull request review, so teams can comment `/forge review` on a PR and receive automated feedback grounded in the repository diff and change context. Forge is deployed here: https://149.28.121.155.sslip.io/ For the Vultr prize, Forge is production-shaped and deployment-friendly: containerized, API-ready, and structured to run as a web service with `forge-api` behind a reverse proxy, making it a strong fit for deployment on a Vultr VM. For the Gemini prize, Forge demonstrates multi-step reasoning across real software workflows: understanding issue context, reading repository state, deciding what to change, adapting after tool output, validating results, and evaluating risk. For the Featherless prize, Forge uses an OpenAI-compatible model interface, making it easy to route the same orchestration layer to open-source coding or reasoning models for portability, cost control, and domain tuning. Forge is not just an AI that suggests code. It is an autonomous engineering workflow system that can plan issues, implement changes, review pull requests, validate outputs, and return evidence developers can act on.