Dev Patel

When building AI agent applications, upstream rate limits and provider outages can completely stall user workflows. We built a resilient router with OpenRouter and API100 that provides automatic hedged requests and streaming failovers. Hedg

Provider outages and rate-limits happen daily. We implemented a dynamic sliding-window health score that automatically reroutes LLM inference calls between Anthropic, OpenAI, DeepSeek, and Google without dropping WebSocket client streams. t

Over the past 3 months we've been running an autonomous coding agent swarm across 140 GitHub repos. Here are the core architectural lessons: 1. State Isolation Matters Shared memory contexts pollute model attention spans rapidly. Keep agent

Built a small eval harness for retrieval-augmented generation that scores answer faithfulness and citation accuracy across providers. Runs on Supabase + pgvector. Looking for contributors and feedback on the scoring metrics!