This issue proposes integrating Google's Gemini large language model (LLM) into the Webwright project to provide advanced coding assistance capabilities.
Gemini is a state-of-the-art LLM trained on a vast corpus of code and natural language data. By integrating Gemini, Webwright could offer developers powerful new features like:
Real-time code suggestions and completions as they type
Static code analysis to surface quality improvements and catch potential bugs
AI-assisted debugging to quickly identify root causes and suggest fixes
Natural language query support to explain, document, and navigate code
Potential implementation details:
Integrate Gemini's API to send code snippets and natural language queries and receive relevant model responses
Develop IDE plugins and/or a web-based code editor interface to surface Gemini suggestions and insights
Build a backend service to efficiently manage the Gemini integration, handle API requests, and cache responses
Expose user-configurable settings to control the desired level of assistance and suggestions from Gemini
Gemini's strong understanding of code syntax, semantics, and best practices could significantly accelerate development within Webwright while enhancing code quality and comprehension.
Some open questions to explore:
Pricing and terms of Gemini API access
Availability of fine-tuned Gemini models for specific programming languages and domains
UX design and user customization options for Gemini assistance features
Potential edge cases or limitations of AI-generated code suggestions to be aware of
Please share any thoughts, feedback, or +1s to gauge interest and shape this initiative!
This issue proposes integrating Google's Gemini large language model (LLM) into the Webwright project to provide advanced coding assistance capabilities.
Gemini is a state-of-the-art LLM trained on a vast corpus of code and natural language data. By integrating Gemini, Webwright could offer developers powerful new features like:
Potential implementation details:
Gemini's strong understanding of code syntax, semantics, and best practices could significantly accelerate development within Webwright while enhancing code quality and comprehension.
Some open questions to explore:
Please share any thoughts, feedback, or +1s to gauge interest and shape this initiative!