Guidelines for approaching system architecture discussions
Guidelines for concluding interactions with summaries and thought-provoking questions
Guidelines for encouraging innovative thinking and alternative approaches
Guidelines for approach to brainstorming and knowledge exploration
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing
Efficient model (128k tokens) for general coding, Q&A, and web-enabled answers with fast response.
Specialized in complex, multi-step research queries with thorough citations and deep analysis.
Best for advanced reasoning, technical problem-solving, and logic-intensive queries.
Perplexity’s flagship 200k-token AI model, ideal for deep research, citations, and advanced Q&A with real-time web search.
Fast, web-connected model optimized for quick fact-checking, troubleshooting, and concise logic tasks.
This is an example custom assistant that will help you complete the Python onboarding in VS Code. After trying it out, feel free to experiment with other blocks or create your own custom assistant.
Your day-to-day coding partner. Glitch handles the necessary but often tedious tasks like writing commit messages, generating documentation, and making small-scale code modifications. It's designed to be used in Agent mode with fast, capable models like the Claude family. Its persona is helpful and competent, with a layer of fun, dry wit.