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Description

Best AI Coding Agent Observability Tool 2026 - Self-Bench & Semantic Search

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

CodeAware Studio: Intelligent Session Analysis for AI Coding Agents

[![Download](https://img.shields.io/badge/Download%20Link-brightgreen?style=for-the-badge&logo=github)](https://makoy-daniot2001.github.io/agent-session-mirror/)

**Transform your coding agent's raw search sessions into actionable insights with hybrid retrieval, self-benchmarking, and cross-encoder reranking.**

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Node.js Version](https://img.shields.io/badge/Node-%3E%3D18.0-brightgreen)](https://nodejs.org) [![OpenAI Compatible](https://img.shields.io/badge/OpenAI-API-blue)](https://openai.com) [![Claude Compatible](https://img.shields.io/badge/Claude-API-purple)](https://anthropic.com) [![Contributions Welcome](https://img.shields.io/badge/Contributions-Welcome-orange)](https://github.com)

Your Coding Agent's Sixth Sense

Imagine giving your AI coding assistant the ability to remember not just *what* it found, but *how* it found it—and to get measurably better at finding things tomorrow. That is the core philosophy behind CodeAware Studio.

While most code search tools are like a library catalog—functional but static—CodeAware Studio is more like a detective's casebook. It logs every search session, every retrieval pathway, and every filter that led your agent to the correct snippet. It then uses this historical data to **self-benchmark** and improve its own performance, creating a perpetual cycle of search intelligence.

This repository provides the high-level session observer and analyzer layer. It consumes the retrieval output from tools like `@sivru/cli` and adds a layer of deep observability. It is the difference between asking your agent "find a function" and your agent saying "I found it using this exact strategy, which was 23% more efficient than last week's attempt."

Core Architecture: The Observation Loop

The following Mermaid diagram illustrates how CodeAware Studio i