Integrate Gemini LLM for coding assistance

[kordless]

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:

1. Real-time code suggestions and completions as they type
2. Static code analysis to surface quality improvements and catch potential bugs
3. AI-assisted debugging to quickly identify root causes and suggest fixes
4. Natural language query support to explain, document, and navigate code

Potential implementation details:

1. Integrate Gemini's API to send code snippets and natural language queries and receive relevant model responses
2. Develop IDE plugins and/or a web-based code editor interface to surface Gemini suggestions and insights
3. Build a backend service to efficiently manage the Gemini integration, handle API requests, and cache responses
4. 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!

[kordless]

branch got borked, will have a different branch for this TBD