Engine - 2026 Pricing, Features, Reviews & Alternatives

Engine is a cloud-based autonomous AI software engineer that operates within its own remote development environment. Assigned issues directly through GitHub, GitLab, Jira, Trello, Linear, and other workflow tools, it independently plans and executes multi-step engineering tasks end-to-end, delivering merge-ready pull requests without requiring continuous developer oversight. Asynchronous background execution allows engineering teams to remain focused on higher-priority work while Engine processes tasks in parallel. Pricing follows a per-task (per pull request) model, suited to teams operating within planned sprints.

Engine targets small to medium-sized professional software development and SaaS product teams that manage complex, multi-repo codebases and require enterprise-grade security and compliance. It automates routine engineering processes including code reviews, issue tracking, test execution, build monitoring, and deployment validation. Engine runs on frontier large language models and integrates with existing development toolchains through deep workflow connections rather than simulated tool interactions. Performance is verified near the top of the SWE-bench benchmark, reflecting state-of-the-art autonomous coding capability.

On the security and compliance front, Engine supports optional deployment within customer infrastructure, including AWS VPC, so code and data never leave the environment. Enterprise-grade encryption, access controls, and compliance measures are included. Customer code and inputs are never used to train models, and Engine does not rely on proprietary fine-tuned models.