Lean-ctx FAQs

Question 1

How does Lean-ctx reduce LLM token consumption for AI coding?

Accepted Answer

Lean-ctx transparently compresses CLI output using a Shell Hook and leverages an intelligent Context Server with 28 tools for cached reads, adaptive context modes, and deduplication. This combined approach leads to token consumption reductions of up to 99%.

Question 2

Which AI coding tools are compatible with Lean-ctx?

Accepted Answer

Lean-ctx integrates seamlessly with major AI coding tools including Cursor, Claude Code, GitHub Copilot, Windsurf, Gemini CLI, VS Code, Zed, and many more. It offers a one-command setup for auto-configuration.

Question 3

What kind of token savings can I expect with Lean-ctx?

Accepted Answer

Users can achieve up to 99% reduction in LLM token consumption for specific operations like cached file reads, and typically save around 88% on total session costs. This makes AI coding significantly more affordable and efficient.

Question 4

Does Lean-ctx prioritize user privacy?

Accepted Answer

Yes, Lean-ctx is designed with zero telemetry, ensuring enhanced privacy as no user data is collected. It operates as a lightweight, single Rust binary, maintaining a secure and efficient environment.

Question 5

How quickly can I get started with Lean-ctx?

Accepted Answer

Integration is fast and easy. You can install and set up Lean-ctx in under 60 seconds using a single command (`lean-ctx setup`), which automatically configures your shell and integrates with all detected AI coding editors.

Lean-ctx

Lean-ctx

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