Code Context Engine FAQs

Question 1

Which AI agents and editors are compatible with Code Context Engine?

Accepted Answer

CCE is editor-agnostic and compatible with popular AI coding environments including Claude Code, VS Code (Copilot), Cursor, Gemini CLI, and OpenAI Codex. It auto-detects your editor and configures itself with a single command.

Question 2

How does Code Context Engine provide cross-session memory for AI agents?

Accepted Answer

It stores AI decisions and identified code areas persistently. Agents can recall past decisions ('session_recall') and specific code sections, allowing for continuous, context-aware interactions without repetitive explanations or re-analysis across sessions.

Question 3

What is Code Context Engine and how does it work?

Accepted Answer

Code Context Engine indexes your codebase using Tree-sitter AST parsing, creating semantic code chunks. AI agents then search this index (via hybrid vector/BM25 search) for relevant context, eliminating the need to re-read entire files, which significantly reduces token consumption.

Question 4

How much can Code Context Engine save on LLM token costs?

Accepted Answer

It can achieve up to 94% token savings for AI coding agent interactions, as demonstrated by independent benchmarks on real-world projects. This dramatically cuts input token costs, which often constitute the majority of LLM API expenses.

Question 5

Is Code Context Engine private and secure?

Accepted Answer

Yes, it's designed as a local-first MCP server with zero-cloud and zero-config setup. Your code and data never leave your machine, ensuring complete privacy and security during AI development.

Code Context Engine

Code Context Engine

Características Principales

Casos de Uso

Características Principales

Casos de Uso