Engine
Remote AI software engineer for fast-moving teams
What is Engine? Complete Overview
Engine is an advanced AI software engineer designed to help development teams ship code faster by automating various aspects of the software development lifecycle. It functions as a remote AI team member that integrates seamlessly with existing developer tools and workflows. Engine can fix bugs, implement features, review code, and handle up to 50% of typical development issues. The platform is built for professional development teams and integrates with popular tools like GitHub, GitLab, Linear, and Trello. Engine uses cutting-edge AI models from Anthropic, OpenAI, and Google, constantly improving its performance and PR approval rates while maintaining state-of-the-art scores on the SWE-bench benchmark for AI software engineers.
Engine Interface & Screenshots
Engine Official screenshot of the tool interface
What Can Engine Do? Key Features
AI-powered Programming
Engine acts as a full AI software engineer, capable of handling pull requests, fixing bugs, and implementing features. It operates in a complete cloud development environment where it can test and debug its own code before submitting PRs for human review.
Backlog Reduction
The system can autonomously handle over 50% of typical development issues, significantly reducing team backlogs. Its capabilities are constantly improving through updates to its system prompts and development environment configuration.
Code Review Agent
Engine can review existing pull requests and suggest improvements or modifications, serving as an additional code reviewer that never sleeps. This helps teams maintain code quality while reducing human reviewer workload.
Seamless Integrations
The platform integrates with all major development tools including GitHub, GitLab, and project management systems like Linear, Trello, Jira, and ClickUp. This allows it to fit naturally into existing team workflows without disruption.
Advanced AI Models
Engine leverages cutting-edge frontier models from leading AI providers including Anthropic's Claude 4 and OpenAI's latest offerings. The system automatically updates to use the most advanced available models.
Best Engine Use Cases & Applications
Backlog Reduction
Teams struggling with growing backlogs can use Engine to automatically handle simpler issues and bug fixes, allowing human engineers to focus on more complex problems and feature development.
24/7 Development Coverage
Distributed teams or those with timezone challenges can use Engine to maintain continuous development progress outside normal working hours, with the AI handling tasks that arise overnight or during weekends.
Code Review Augmentation
Engineering teams can use Engine as an additional code reviewer to improve review quality and speed, particularly helpful during peak development periods or when dealing with large PR volumes.
Rapid Prototyping
Product teams can leverage Engine to quickly implement prototype features or proof-of-concepts, significantly reducing the time from idea to testable implementation.
How to Use Engine: Step-by-Step Guide
Connect Engine to your development environment by linking your GitHub or GitLab repositories and project management tools like Linear or Trello.
Configure Engine's access level and permissions according to your team's needs and security requirements.
Engine will automatically monitor connected systems for new issues or pull requests it can assist with, based on your configuration.
The AI will analyze, implement, and test solutions before submitting pull requests for human review in your standard workflow.
Review and approve Engine's pull requests just like you would with human team members, or request changes through your normal code review process.
Engine Pros and Cons: Honest Review
Pros
Considerations
Is Engine Worth It? FAQ & Reviews
Engine utilizes frontier models from leading AI providers including Anthropic (Claude 4), OpenAI, and Google. The system automatically updates to use the latest and most advanced models available.
Engine operates in a full cloud development environment where it can execute and test its own code before submission. It constantly optimizes its system prompts and environment to maximize PR approval rates and has state-of-the-art performance on software engineering benchmarks.
Engine works with GitHub and GitLab for version control and integrates with project management tools including Linear, Trello, Jira, and ClickUp for seamless workflow integration.
Higher-tier plans offer enhanced security options including private models and self-hosted virtual machines. Engine only accesses what you authorize and operates within your existing security frameworks.
Engine is designed to augment human teams, not replace them. It handles routine tasks and can complete about 50% of typical issues, allowing human engineers to focus on more complex, creative work.