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Analyze code and ask natural-language questions using structural and semantic knowledge.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kbask" yet — see the docs or source repo.
Analyze the dependency relationships around the payment module in this codebase. List the core services it calls, which modules reference it, and summarize potential coupling risks.
A dependency map for the payment module, key call chains, and a summary of coupling risks.
How is user authentication implemented in this project? Explain it in four parts: request entry point, middleware, core validation logic, and error handling, and point to the relevant files.
An explanation of the authentication flow, relevant files and function locations, and a summary of the key implementation logic.
If I change the order status enum definition, identify all affected classes, interfaces, query logic, and test files, and group them by high, medium, and low risk.
A list of impacted code, risk levels, and recommended test areas to check first.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Build and query a codebase knowledge graph with relationships and rationale.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Query code structure and cross-language relationships via MCP with auditable access logs.
Understand multi-project codebases with knowledge graphs, search, tracing, and impact analysis.
Build persistent codebase memory for semantic search, impact analysis, and rule enforcement.