Utilize the 1M Token Window for Deep Context Analysis
Process entire codebases or massive document sets in a single prompt.
Leverage Claude Fable 5's 1 million token context window to analyze massive datasets or complete code repositories at once without manual chunking.
The Scenario
You are a developer inheriting a massive legacy codebase or a researcher with hundreds of pages of documentation and need to understand the 'big picture' without missing small details buried in the text.
Before & after
Previously, you had to manually split large documents or codebases into chunks, often losing context between files. This preparation and cross-referencing usually took 2-3 hours of manual effort.
With Claude Fable 5, you can upload the entire repository or a year's worth of reports. Claude processes the full context in 5-10 minutes, identifying patterns across all files simultaneously.
The Prompt
I am uploading [DESCRIPTION_OF_FILES: e.g., my entire project codebase]. Analyze the architecture and identify any potential security vulnerabilities or performance bottlenecks across all modules. Explain how [MODULE_A] interacts with [MODULE_B] in detail.
The new 1M token context window allows for massive data ingestion without the need for RAG (Retrieval-Augmented Generation) or manual chunking.
Source
Claude Platform - Claude API Docs"Both models support a 1M token context window by default, 128k max output tokens, and always-on adaptive thinking."