Visor FAQs

Question 1

What is Visor and how does it help AI coding agents?

Accepted Answer

Visor is a Skill-Orchestrated Context Intelligence Engine that delivers precise, context-aware code snippets from your codebase to AI coding agents. This optimizes agent performance, reduces token waste, and prevents AI hallucinations by providing highly relevant code.

Question 2

How much token waste can Visor reduce?

Accepted Answer

Visor's Context Intelligence Engine uses multi-signal scoring and intent classification to provide surgical context, reducing token usage by up to 80% compared to AI agents blindly searching or reading irrelevant files.

Question 3

Which IDEs and AI agents are compatible with Visor?

Accepted Answer

Visor offers full compatibility with Google Antigravity and VS Code via its extension and MCP config. It also provides MCP tool support for Cursor and Claude Code, acting as a local-first MCP server.

Question 4

What programming languages does Visor's semantic indexing support?

Accepted Answer

Visor leverages Tree-sitter for semantic AST indexing across 9 programming languages out of the box, including Python, TypeScript, JavaScript, Go, Rust, Java, C, and C++. It's also designed for easy extensibility to add more languages.

Question 5

How does Visor prevent AI hallucinations from outdated code?

Accepted Answer

Visor features 'Drift Detection' which uses SHA-256 hash comparison or file changelog timestamps to warn AI agents if the code context they are using has become stale, thereby preventing hallucinations and ensuring accuracy.

Visor

Visor

Características Principales

Casos de Uso

Características Principales

Casos de Uso