Genie – Cosine AI’s AI Programming Assistant | AI Toolset

What is Genie

Genie is launched by Cosine AIAI Programming Assistantcan quickly solve software programming problems like humans, and code writing and running can be completed in just 84 seconds. Genie can imitate the way human programmers think, automatically parse problems, iterate and write code. Genie is far ahead of the SWE-Bench benchmark with a resolution of 30.07%. 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.

Genie’s main functions

• Automatically resolve the problem: Genie can understand and parse problem descriptions from sources such as GitHub Issue and determine the software problems that need to be solved.
• Iteratively think about the required files: Can automatically determine the code files needed to solve the problem and think it through iteratively to find the best solution.
• Automatic iterative analysis: Genie will conduct in-depth analysis of the problem and iterate continuously to optimize the solution.
• Automatically write code: Based on the analysis results, Genie can automatically write code to solve the problem.
• Automatically run code: After writing, Genie can automatically run the code and debug and correct errors when encountering errors.
• Self-improvement mechanism: Genie uses error codes generated by the old version as training data to learn and improve 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 process of human engineers, including problem decomposition, information retrieval, logical reasoning and decision-making.
• Proprietary datasets: Genie uses data generated by Cosine AI proprietary technology for training, including results analysis, static analysis and self-improvement mechanisms.
• Progressive learning: Genie’s training emphasizes gradual knowledge discovery and gradual decision-making, and can gradually build solutions when facing new problems.
• Understanding the upper and lower sentences: Genie can understand and process long context information, and implement it through large context models, which can process large amounts of marked data.
• Autonomous Characteristics (Agentic): Genie is autonomous, can independently react to the input information and operate it in a logical way.
• Iterative optimization: Genie trains through self-improvement, uses synthetic data to guide the model to reach the target state, and improves its problem-solving ability.

How to use Genie

Genie’s application scenarios

• 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 a given specification or problem description to improve development efficiency.
• Defect repair: Genie supports analyzing existing code, identifying and fixing potential bugs and flaws.
• Code review: Based on logical reasoning capabilities, Genie supports code review to ensure code quality and consistency.
• System Refactoring: Genie can provide refactoring suggestions and implementation strategies when it is necessary to improve existing system architecture or code base.

© Copyright Statement