Sipcode ships context hygiene for Claude Code

Long-running agentic coding sessions quickly degrade as the model's memory fills with useless logs and redundant file reads. Sipcode solves this context rot at the hook layer, proving that deterministic output management is essential for reliable AI software engineering.

• –Intercepts Claude Code's tool calls via PreToolUse hooks to prevent context clutter before execution
• –Caps highly verbose CLI outputs from command runs like npm install, git log, and grep
• –Prevents redundant token consumption by deduplicating same-session re-reads of unchanged files
• –Achieves a reported 62.6% median reduction in tool-output tokens on benchmark tests
• –Exposes 15 MCP tools locally for context observation and drift detection with zero network calls for privacy