CKB FAQs

Question 1

What programming languages does CKB support?

Accepted Answer

CKB provides strong support for Go, TypeScript, JavaScript, and Python with full features, leveraging SCIP indexes. It also offers basic to experimental support for Rust, Java, Kotlin, C++, Ruby, Dart, C#, and PHP, continuously expanding its language capabilities.

Question 2

What kind of code analysis can CKB perform?

Accepted Answer

CKB performs advanced analysis such as precise impact analysis (what breaks if I change this?), architecture mapping (how systems connect), security scans (secret detection), and code quality checks (dead code, coupling analysis). It gives data-driven answers that go beyond simple grep.

Question 3

What are the core features of CKB?

Accepted Answer

CKB offers comprehensive features including semantic code navigation (search, call graphs, usage tracing), impact analysis & risk scoring (blast radius, affected tests), automated PR review, architecture mapping, ownership lookup, and dead code & secret detection. It integrates via CLI, HTTP API, and MCP for AI tools.

Question 4

What is CKB and what problem does it solve?

Accepted Answer

CKB (Code Knowledge Backend) transforms your codebase into a queryable knowledge base for AI assistants, CLI, and API. It solves critical challenges like understanding code impact, identifying owners, detecting dead code, and securing secrets, helping developers change code safely and ship with confidence.

Question 5

How does CKB enhance AI assistant capabilities?

Accepted Answer

CKB acts as a powerful backend for AI assistants like Claude, Cursor, and Windsurf, providing them with deep semantic code understanding via SCIP indexes. This enables AIs to answer complex code-related questions precisely, navigate code intelligently, and achieve up to 83% token efficiency.

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