xby-code-document-update

LLM training data has a cutoff date. Once an open-source library ships a new major version, the API signatures, parameter names, and code examples stored in the model memory may already be outdated. Developers who receive code that looks plausible but simply does not run often spend precious time debugging. xby-code-document-update addresses exactly this problem by embedding the Context7 MCP documentation service into DeepSeek Harness, so the model can pull the latest docs and code examples for any target library before generating code, guaranteeing that output is grounded in the current API surface.

The plugin follows a three-step workflow: first, set_xby_apikey persists your API key and it survives restarts; next, resolve_library_id maps a package or product name to a Context7-compatible library ID, automatically ranking candidates by name similarity, documentation coverage, source reputation, and benchmark score; finally, get_library_docs retrieves API references and code snippets in code mode, or conceptual guides and architecture notes in info mode. The full pipeline ensures the model cites real, up-to-date documentation instead of guessing from stale training data.

If you are generating code with third-party libraries inside DeepSeek Harness, especially fast-moving front-end frameworks, SDKs, or utility libraries, this plugin upgrades your AI assistant from recall-based coding to documentation-backed coding, dramatically reducing debugging time caused by API drift.