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Engine Labs

AI software engineer that autonomously develops, tests, and deploys code integrated seamlessly with team workflows.

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Product Overview

What is Engine Labs?

Engine Labs offers an AI-powered software engineer designed to work alongside development teams by autonomously handling coding tasks, bug fixes, and pull requests. It operates in a full cloud development environment where it can run and test generated code before submitting it for review. Engine integrates with popular version control platforms like GitHub and GitLab, and project management tools such as Jira, Trello, Linear, and ClickUp, enabling smooth collaboration. Its AI continuously optimizes its own system prompts and environment to maximize the quality and approval rate of its contributions, significantly accelerating software delivery and reducing backlog.


Key Features

  • Autonomous Code Generation and Testing

    Engine writes, runs, tests, and fixes code autonomously within a cloud IDE before making pull requests, ensuring high-quality contributions.

  • Seamless Workflow Integration

    Integrates with GitHub, GitLab, and popular project management tools like Jira, Trello, Linear, and ClickUp to fit naturally into existing team workflows.

  • Continuous Self-Optimization

    Engine constantly updates its system prompt and development environment to improve its pull request approval rate and task success.

  • Backlog Reduction and Speed

    Capable of completing over 50% of typical software issues, helping teams ship features faster and reduce backlog significantly.

  • Cloud-Based Development Environment

    Runs entirely in the cloud, allowing developers to pair program with Engine or let it work autonomously anytime, anywhere.


Use Cases

  • Accelerated Software Development : Teams can leverage Engine to automate coding tasks, bug fixes, and feature development, speeding up release cycles.
  • Pull Request Automation and Review : Engine autonomously creates and reviews pull requests, reducing manual workload and improving code quality.
  • Backlog Management : Automatically addresses a significant portion of software issues, helping teams manage and shrink their backlog.
  • Workflow Enhancement : Integrates with existing project management and version control tools to streamline software engineering processes.
  • Remote and Distributed Team Support : Cloud IDE and autonomous operation enable distributed teams to collaborate effectively with AI assistance.

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