Codeaware FAQs

Question 1

How much context can Codeaware compress?

Accepted Answer

Codeaware achieves significant token reduction: up to 95% on file reads using advanced AST-based analysis and over 90% on test and build logs by extracting only critical information like errors and failures. This maximizes your context window and saves costs.

Question 2

Does Codeaware prevent context loss from Claude's `/compact` command?

Accepted Answer

Yes, a core feature of Codeaware is its complete session state recovery. After Claude's `/compact` command, Codeaware can fully restore your working context, including symbols, caller relationships, and prior results, ensuring you never lose your progress.

Question 3

What kind of code intelligence does Codeaware offer?

Accepted Answer

Codeaware provides deep code understanding through tree-sitter. It offers symbol extraction, caller chain analysis, test coverage mapping, and syntax validation. Crucially, it includes pre-edit impact analysis and transactional edits with hash-based concurrency protection to prevent data loss.

Question 4

What is Codeaware and how does it help with Claude Code?

Accepted Answer

Codeaware is a Rust-based MCP server that acts as a compression and orchestration layer for Claude Code. It dramatically reduces token consumption by compressing code context and command output, preserves your entire session state, and offers intelligent code analysis, making your LLM coding workflows faster, cheaper, and more reliable.

Question 5

How does Codeaware compare to other MCP servers?

Accepted Answer

Unlike general-purpose MCPs that add new capabilities, Codeaware specifically optimizes existing code interactions for Claude. It stands out with unique AST-based compression, transactional edits, pre-edit impact analysis, and robust semantic compaction recovery, capabilities not found in other token-optimization MCP servers.

Codeaware

Codeaware

Características Principales

Casos de Uso

Características Principales

Casos de Uso