Tenets FAQs

Question 1

How does Tenets manage AI token budgets effectively?

Accepted Answer

Tenets includes smart summarization capabilities. When files exceed token limits, it intelligently preserves critical information like function/class signatures, import statements, complex logic blocks, and recent changes, ensuring the AI receives essential context without unnecessary verbosity.

Question 2

Does Tenets prioritize user privacy and data security?

Accepted Answer

Absolutely. Tenets is designed for complete privacy and security. All codebase processing, analysis, and data handling occur locally on your machine. No data ever leaves your device, ensuring privacy and eliminating API costs.

Question 3

What advanced technologies does Tenets use to find relevant code?

Accepted Answer

Tenets employs a multi-layered approach using NLP, ML semantic similarity, neural reranking, BM25, TF-IDF, and git signals. It intelligently tokenizes code, performs AST parsing for 15+ languages, and offers 'fast', 'balanced', and 'thorough' ranking modes for optimal relevance.

Question 4

What is Tenets and how does it help developers?

Accepted Answer

Tenets is an MCP server that automates finding, ranking, and aggregating relevant codebase context for AI coding assistants. It helps developers by providing precise, token-budget-optimized context to AI tools like Cursor and Claude, making their prompts more accurate and efficient.

Question 5

How does Tenets integrate with AI coding assistants?

Accepted Answer

Tenets features native Model Context Protocol (MCP) integration, allowing it to seamlessly connect with AI coding assistants such as Cursor, Claude Desktop, and Windsurf. Simply configure Tenets as an MCP server within your AI tool's settings.

Tenets

Tenets

Características Principales

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Características Principales

Casos de Uso