Analyze code and files using Gemini's large context window for security, architecture, or performance insights. Ask questions about specific files or repository code to get focused analysis.

Identify high-maintenance risks in codebases by detecting large, highly-connected files that consume excessive context and increase technical debt.

Process large files efficiently by streaming them in manageable chunks without loading entire files into memory, enabling step-by-step handling of oversized data.

Jump to a specific line in large files with surrounding context lines for efficient code review and debugging.

Upload local files to Databricks Unity Catalog volumes for data processing. Supports large files with progress tracking and error handling.

Search log files within a specific time window to find relevant entries, with options to filter results and include surrounding context for better analysis.