Fume Introduction
Fume is an AI-powered software development tool that automates mundane coding tasks, fixes bugs, and handles feature requests through integration with existing project management tools.
View MoreWhat is Fume
Fume is an innovative AI software developer created by Emre Gucer and Metehan Öz in 2024. Based in San Francisco, this startup aims to revolutionize software development by automating routine tasks and freeing up engineers to focus on more complex problems. Fume integrates seamlessly with popular tools like Slack, Jira, and GitHub, allowing teams to delegate tasks to an AI that can write code, run tests, and submit pull requests without human intervention.
How does Fume work?
Fume operates on its own dedicated computer, working in the background on assigned software tasks. When a team member reports a bug or requests a feature through Slack or other integrated platforms, they can simply tag @Fume to initiate the process. Fume analyzes the request, creates a plan, writes the necessary code, and tests it in an isolated development environment. If successful, it submits a pull request for review. Throughout this process, Fume can ask clarifying questions via Slack if it encounters any issues or needs additional information. The AI is designed to understand complex codebases and can handle a wide range of tasks, from fixing Sentry errors to implementing minor features.
Benefits of Fume
By automating routine software development tasks, Fume significantly increases engineering efficiency, potentially by up to 10 times. It allows non-technical team members to report issues easily, and engineers can delegate time-consuming tasks without opening a code editor. This frees up valuable time for developers to focus on more critical and creative aspects of software development. Fume's ability to work continuously in the background also accelerates the development process, allowing teams to merge pull requests faster and ship code more quickly. Overall, Fume helps teams make the most of their engineering resources, potentially saving thousands of dollars every month while improving productivity and code quality.
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