deadends.dev vs //beforeyouship — LLM cost modeling from your editor

Error knowledge database for AI coding agents. 2002 verified error patterns across 43 domains. Returns dead ends (what NOT to try) and workarounds (what works) for any error message. Covers Python, Node, Docker, CUDA, Kubernetes, ROS 2, PyTorch, and 36 more domains.

Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers

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