Cosine's AI developer, called Genie, represents a significant advancement in AI-assisted software engineering. Below is an overview of its key features and capabilities:
Performance
Genie has achieved impressive results on industry benchmarks:
- Scored 30% on SWE-Bench, the standard benchmark for evaluating AI software engineering skills.
- This score is significantly higher than competitors like Amazon Q (19%), Factory's Code Droid (19%), and OpenAI's GPT-4 (1.31%).
Capabilities
Genie is designed to function like a human software developer, with abilities including:
- Solving bugs autonomously
- Building new features
- Refactoring existing code
- Working collaboratively with human developers
Technology
- Built on a fine-tuned version of GPT-4 with an extended context window.
- Trained on billions of tokens of carefully curated software development data.
- Uses multiple problem-solving approaches to adapt to different scenarios.
Key Features
- Contextual Understanding: Comprehends complex codebases and project structures.
- Efficiency: Solves coding problems rapidly, sometimes in just 84 seconds.
- Long-Term Memory: Retains context across long interactions.
- Integration: Works with tools like GitHub, Slack, and VS Code.
Development Approach
Cosine took a unique approach in developing Genie:
- Focused on emulating human reasoning and decision-making processes in software engineering.
- Spent nearly a year curating high-quality training data from real software engineers.
- Developed proprietary techniques to derive human reasoning from examples.
Future Plans
Cosine aims to further improve Genie by:
- Developing multi-sized models for various task complexities.
- Expanding into open-source communities.
- Continuing to refine and expand its capabilities.
Genie represents a significant step forward in AI-assisted software development, combining advanced language model capabilities with a deep understanding of how human developers work. Its performance on benchmarks and range of capabilities make it a promising tool for enhancing software engineering productivity.
