After having a wave of crashing of my Cursor IDE instance, I decided to give Windsurf (https://codeium.com/windsurf) a go today, and boy, it is a significant improvement. The premium Claude calls don't run out, look appropriate at all your libraries, do not need to be saved after you accept updates, and can look at how the app runs, correcting errors automatically. It should avoid the silly loops of confusion and better understand your code and the problem it is trying to fix. Let's see the progress. .....The future me says it's great, but don't cancel Cursor yet.

Hey guys, i had discussed this briefly a few meetings back about the problem I am trying to solve. I am stuck on how to best create the vector store, as simply chunking all messages and using some kind of Sentence splitting does not work well I manage a property portfolio on platforms like Airbnb, handling customer support through the entire guest journey (pre-booking to post-stay). I'm building a RAG system to help automate responses to guest inquiries. Here are the questions I have - some context of business below ## Technical Questions 1. **Vector Database Strategy** - How to structure embeddings for different information types? - Chunking Strategy Challenges: - Single message chunks: Lose conversation context - Multi-message chunks: How many messages maintain coherence? - Entire conversation chunks: May be too broad for specific queries - How to preserve booking context (guest state, property details) within chunks? - Should property-specific and global information be in separate vector spaces? - How to handle property hierarchies in vector search? 2. **Temporal Relevance** - How to weight conversation recency differently based on query type? - How to combine current property documents with historical conversations? 3. **Context-Aware Retrieval** - How to incorporate guest journey state into the retrieval process? - How to handle property relationships (e.g., similar apartments sharing info)? - How to balance property-specific vs. global policy information? 4. **Security and Policy Compliance** - How to ensure RAG responses respect security policies based on guest journey state? - How to handle platform-specific rules in responses? ## Data Sources and Unique Challenges ### 1. Historical Conversations (around 10,000 reservations over 7 years , each having 10-40 messages during the client journey) - Stored in PostgreSQL - Time relevance varies by query type: ``` Example A: "What's the WiFi password?" → Recent conversations only relevant (passwords change)

Has anybody tried this? I want to refactor everything I wrote so far for my personal project and I'll give this a shot and see how easy it is. Let me know you opinion if you've tried it https://haystackeditor.com/

Hi guys, I joined the weekly call this Tuesday and was amazed at the amount of stuff I learnt in 2 hours! Thanks a lot again Brandon and others I have large codebases (in my Python/django project) and I find myself asking ChatGPT / Claude answers to questions by copy pasting various parts of my codebase (full files or part of the files) with names of the files on top and giving it extra context via my text (here is an example https://chatgpt.com/share/b2d703e8-c464-485e-8cd4-bc795afdad2e) I would love if there is a way of doing this from inside my IDE itself (VS Code or Pycharm ) where I can mark blocks of text in mutliple files and then refer to them in my prompt Does anyone know of a good way to do this?