Genie – AI programming assistant launched by Cosine AI | AI toolset

What is Genie

Genie is launched by Cosine AIAI programming assistantwhich can solve software programming problems as quickly as humans, writing and running code in just 84 seconds. Genie can imitate the way human programmers think, automatically analyzing problems, iteratively analyzing and writing code. Genie leads the SWE-Bench benchmark with a 30.07% solution rate. Genie’s training uses a large amount of real human programming data, including results analysis, static analysis and other methods, as well as self-improvement mechanisms.

Main functions of Genie

• Automatically resolve issues: Genie can understand and parse problem descriptions from sources such as GitHub Issues and determine software issues that need to be solved.
• Iteratively think through required documents: Can automatically determine the code files required to solve the problem and conduct iterative thinking to find the best solution.
• Automatic iterative analysis: Genie will conduct in-depth analysis of the problem and continuously iterate to optimize the solution.
• Automatically write code: Based on the analysis results, Genie can automatically write code to solve the problem.
• Run code automatically: After the writing is completed, Genie can automatically run the code and debug and correct it when errors are encountered.
• self-improvement mechanism: Genie uses error codes generated by older versions as training data, learning and improving itself in this way.
• Multiple ways to trigger work: Genie’s workflow can be started through various methods such as prompt words, GitHub Issue, Linear Ticket or API.

Genie’s technical principles

• cognitive simulation: Genie simulates the cognitive processes of human engineers, including problem decomposition, information retrieval, logical reasoning and decision-making.
• Proprietary data set: Genie uses data generated by Cosine AI’s proprietary technology for training, including results analysis, static analysis and other methods as well as self-improvement mechanisms.
• incremental learning: Genie’s training emphasizes progressive knowledge discovery and step-by-step decision-making, and can gradually build solutions when facing new problems.
• Understand upper and lower sentences: Genie can understand and process long context information, implemented through a large context model, which can handle large amounts of labeled data.
• Agentic: Genie is autonomous and can react independently to input information and operate in a logical manner.
• iterative optimization: Genie trains through self-improvement, using synthetic data to guide the model to reach the target state and improve its ability to solve problems.

How to use Genie

Application scenarios of Genie

• software development: Genie can be applied to all stages of software development, including requirements analysis, design, coding, testing and maintenance.
• code generation: Genie can automatically generate code based on given specifications or problem descriptions to improve development efficiency.
• Bug fixes: Genie supports analyzing existing code to identify and fix potential errors and defects.
• code review: Based on logical reasoning capabilities, Genie supports code review to ensure code quality and consistency.
• System reconstruction: When improvements to existing system architecture or code base are needed, Genie can provide refactoring suggestions and implementation strategies.

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