Utilize Claude Sonnet 5 for Large-Scale Contextual Analysis
Process massive codebases or long-form documents using the 1M token context window.
Leverage Claude Sonnet 5's 1 million token context window to perform deep analysis across entire projects without the need for manual chunking.
The Scenario
You need to analyze an entire repository of code or a massive legal document that exceeds standard model limits to find specific contradictions or architectural patterns.
Before & after
Users frequently had to split large documents into parts or use RAG (Retrieval-Augmented Generation) to select snippets, which manually takes 30-60 minutes to organize and often loses context.
For large-scale coding or research, provide the 1M token context directly. Claude Sonnet 5 handles this natively, taking just seconds to ingest your entire documentation or codebase.
The Prompt
I am providing my entire codebase/dataset below. Please analyze the relationship between [MODULE_A] and [MODULE_B] and suggest a refactor to improve efficiency. [PASTE_EXTENSIVE_CODE_OR_DATA_HERE]
Claude Sonnet 5's massive context window and 128k output tokens make it ideal for rewriting entire software modules or analyzing massive datasets in one go.
Source
Claude Platform - Claude Platform Docs"Claude Sonnet 5 supports a 1M token context window, 128k max output tokens..."