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19 contributions to AI Developer Accelerator
Stuck in an AI coding loop - anyone familiar with Cursor?
Hey everyone, I'm building an AI-powered app and I keep running into technical issues that I can't seem to get past. Every time I try to fix something with AI assistance, I hit new errors and dysfunctionalities. It's become a bit of a frustrating loop. I'm working with Cursor and AI coding tools, but I'm clearly missing something in how I'm approaching the technical implementation. If anyone here has experience building with AI tools and wouldn't mind chatting about general troubleshooting approaches, I'd really appreciate it. Happy to exchange messages or grab a quick informal chat if you have time. would be grateful for any guidance from someone who's been through similar challenges. Thanks! 🙏
1 like ‱ 23d
Hey @Niko Zeldenthuis , Totally understand what you’re going through working with AI tools like Cursor can be super powerful but also tricky at times, especially when errors keep chaining together. One thing that’s helped me is to break problems into smaller, testable chunks instead of trying to fix everything at once with AI suggestions. Sometimes the model gives good code but misses context, so validating each step manually or adding debug prints/logs really helps isolate what’s going wrong. Also, don’t hesitate to simplify the setup get a minimal working version first, then layer complexity back in. And if you share more details about what tools, frameworks, or APIs you’re integrating, I’m happy to help brainstorm where the flow might be breaking. You’re definitely not alone in this it’s part of the learning curve with AI-assisted development.
We’re currently facing an issue with authentication popups using custom FastAPI endpoints.
We’re currently facing an issue with authentication popups using custom FastAPI endpoints. Our setup involves handling OAuth-based authentication through a popup window. The flow itself works correctly — the user is redirected to the provider’s auth page, signs in successfully, and the callback is supposed to hit our custom FastAPI endpoint to complete the authentication. However, the problem occurs after the authentication step: - The internal redirect URL isn’t working as expected. - The authentication status remains stuck in a pending state. - It seems like the popup isn’t properly receiving or handling the final redirect back to our app once the token is generated. We’ve already confirmed that the OAuth provider side is fine, and when we test the same redirect URL without the popup flow, it works correctly. The issue only appears when using the popup-based authentication with our custom FastAPI endpoints. Has anyone run into a similar issue or found a reliable way to handle popup-based OAuth callbacks and redirects in FastAPI? Any suggestions or best practices for managing this kind of flow would be really helpful.
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Issue with Multi-Agent Workflow Authentication
Hi everyone, I’m currently working on a multi-agent workflow where multiple agents (like Gmail and Google Drive) are triggered in parallel. The issue I’m facing is that when both agents attempt authentication at the same time, the system can only show one authentication popup at once. Because of this, the second authentication request fails, and we’re unable to complete the authentication process for all agents. Has anyone else faced a similar issue or found a way to handle multiple OAuth popups in parallel workflows? Any suggestions would be appreciated!
1 like ‱ 23d
Yes, @Olanrewaju Beauty , instead of that, I used a sleep approach I hold one popup and wake it up after the previous one completes. And yes, we’re storing the tokens, so authentication is needed only once
0 likes ‱ 23d
Nad its working as like expected
Temporal Embedding using Vertex AI RAG Engine
Have anyone handled any temporal embedding or handling temporal context using documents in Vertex AI RAG Engine?
0 likes ‱ Oct 30
Hyy @Pallab Banerjee try this if you have access - https://docs.cloud.google.com/vertex-ai/generative-ai/docs/rag-engine/use-embedding-models
1 like ‱ 28d
That's a fantastic solution and an important finding!
🚀 Excited to Announce: AI-Accelerate Retail Agent Teams! đŸ€–
Over the past weeks, I built and launched a sophisticated multi-agent retail operations platform powered by Google's Agent Development Kit (ADK) and Elastic's hybrid search—combining vector, semantic, and traditional search in real time. đŸ‘„ What makes it unique? - Multi-agent orchestration: Each specialized agent (Product Search, Review Analysis, Inventory, Shopping, Customer Support) works in harmony, managed by a central Coordinator Agent. - Conversational Intelligence: Handles natural language queries like “Show me blue summer dresses under $50 with good reviews in stock at my local store”—and delivers accurate, actionable results. - Cutting-edge tech: Google ADK, Gemini 2.0 Flash, Elastic kNN vector search, image-based product search (ImageBind embeddings), real-time dashboard UI, FastAPI backend, and more. - Real-world impact: Streamlines retail experience—instant product discovery, inventory insights, review analysis, FAQ support, and analytics. 🔗 Check out the codebase on GitHub:github.com/Yash-Kavaiya/AI-Accelerate-Retail-Agent-Teams 🔎 Full project details, technical deep dive & demo:devpost.com/software/ai-retail-agent-team-intelligent-retail-operations-platform Thanks to cutting-edge AI, this project brings together semantic/visual search, natural language capabilities, and enterprise-grade scalability for the next generation of retail operations! Would love to connect with retail tech enthusiasts, AI practitioners, and anyone interested in multi-agent systems for real-world applications. #ConversationalAI #GoogleADK #ElasticSearch #RetailTech #AI #MultiAgentSystems #GenAI #Gemini
1 like ‱ Oct 30
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Purendeeswar Reddy
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43points to level up
@purendeeswar-reddy-6841
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Active 1d ago
Joined Sep 19, 2025
India
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