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What is Genie
Genie was launched by Cosine AIAI programming assistantIt can quickly solve software programming problems like humans. It only takes 84 seconds to complete code writing and running. Genie can imitate the way of thinking of human programmers, automatically analyzes problems, iterates and writes code. Genie is far ahead with a solution rate of 30.07%in the SWE-Bench benchmark test. 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 function
- Automatic analysis problem: Genie can understand and analyze the problem description of the source of github issues and other sources to determine the software problems that need to be solved.
- Ieratory thinking documents: It can automatically determine the code file required to solve the problem and think iterates to find the best solution.
- Automatic iterative analysis: Genie will conduct in -depth analysis of the problem and continuously iterates to optimize the solution.
- Automatically write code: Based on the analysis results, Genie can automatically write code to solve the problem.
- Automatic running code: After the writing is completed, Genie can automatically run the code and debug and modify when encountering errors.
- Self -improvement mechanism: Genie uses the error code generated by the old version as the training data, which is self -learning and improved in this way.
- Multiple ways to trigger work: You can start the workflow of Genie through multiple ways such as prompt words, github issues, linear tickets, or API.
Genie’s technical principle
- Cognitive simulation: Genie simulated the cognitive process of human engineers, including problem decomposition, information retrieval, logical reasoning and decision -making formulation.
- Proprietary data set: Genie is trained by data generated by Cosine AI proprietary technology, including methods such as results analysis, static analysis and other methods and self -improvement mechanisms.
- Gradual 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. Through large -scale context models, the model can process a large number of labeled data.
- Autonomous features (agentic): Genie is autonomous, can independently respond to the input information, and operates in a logical manner.
- Iterative optimization: Genie training through self -improvement, using synthetic data to guide the model to achieve the goal state, and improve the ability to solve problems.
How to use Genie
Genie’s application scenario
- Software development: Genie can be applied to all stages of software development, including demand analysis, design, coding, testing and maintenance.
- Code generation: Genie can automatically generate code based on the given specifications or problems to improve development efficiency.
- Defect repair: Genie supports analysis of existing code, identify and repair potential errors and defects.
- Code review: Based on logical reasoning capabilities, Genie supports code review to ensure the quality and consistency of the code.
- System reconstruction: When you need to improve the existing system architecture or code library, Genie can provide reconstruction suggestions and implementation strategies.
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