Modern AI models face critical challenges when generating code with APIs
New libraries and API versions released after model training aren't available. A library released yesterday won't be in a model trained months ago.
Documentation websites are designed for humans, not LLMs. Search results vary in quality, format, and completeness. Critical details may be spread across multiple pages.
Models mix methods and fields from different API versions, creating code that looks correct but fails because it combines v2 syntax with v3 methods.
Less common open-source libraries and private/internal APIs aren't in training data at all. Models simply don't know they exist.
Context Hub provides curated, verified documentation that can be injected into any LLM's context at inference time. Instead of relying on outdated training data or unreliable web searches, models get the exact, current API documentation they need.
Every piece of documentation is verified against actual API responses
Separate docs for each language prevent mixing paradigms
Formatted for context windows with relevant examples
Updated as soon as new versions are released
Install the CLI: npm install -g @context-hub/cli
Request documentation: chub get stripe-payments
AI receives verified docs: Current, accurate API information