CodeSift FAQs

Question 1

How does CodeSift achieve its high token efficiency?

Accepted Answer

CodeSift utilizes tree-sitter AST parsing for a deep, structural understanding of code, moving beyond simple text matching. It also employs smart output formatting, compact detail levels, token budgeting, relevance filtering, and a range of other performance features to minimize token consumption.

Question 2

Which AI coding tools and platforms can integrate with CodeSift?

Accepted Answer

CodeSift seamlessly integrates with popular AI coding tools and platforms such as Claude Code, Cursor, Codex, Gemini CLI, Zed, Aider, and Continue. It's compatible with any MCP (Multi-Client Protocol) client, providing easy setup and configuration through simple CLI commands.

Question 3

What is CodeSift and how does it benefit AI agents?

Accepted Answer

CodeSift is a powerful tool offering token-efficient code intelligence with 66 specialized search, retrieval, and analysis tools for AI agents. It significantly reduces token usage (61-95%) compared to traditional code workflows, leading to lower operational costs and more effective AI agent interactions with codebases.

Question 4

What kind of code intelligence features does CodeSift offer?

Accepted Answer

CodeSift provides a comprehensive suite of 66 tools, including structural and semantic search, symbol retrieval, code outlining, graph analysis (call traces, dependency maps), code quality checks (dead code, complexity), AST-aware secret scanning, and LSP-powered operations like go-to-definition.

Question 5

Is CodeSift difficult to install and configure?

Accepted Answer

No, CodeSift is straightforward to install via `npm install -g codesift-mcp`. Configuration for your specific AI agent or all supported platforms is handled with simple `codesift setup [platform]` commands, which automatically install necessary MCP configs, rules, and hooks.

CodeSift

CodeSift

Key Features

Use Cases

Key Features

Use Cases