Semble Review: Code Search for AI Agents That Cuts Token Use by 98%

📰 Dev.to · pickuma

Learn how Semble reduces token use by 98% for AI agents in code search, and how it compares to ripgrep

intermediate Published 18 May 2026
Action Steps
  1. Install Semble using the open-source repository
  2. Index your code repository with Semble's embedding-based search
  3. Compare Semble's performance to ripgrep on a large monorepo
  4. Integrate Semble with AI agents to reduce token use
  5. Test and evaluate the token reduction claim with Semble
Who Needs to Know This

Developers and AI engineers can benefit from Semble's efficient code search, reducing token usage and improving AI agent performance

Key Insight

💡 Semble's embedding-based search reduces token use by 98% compared to traditional grep output, improving AI agent efficiency

Share This
🚀 Cut token use by 98% with Semble's code search for AI agents! 💡
Read full article → ← Back to Reads