Kodezi Chronos is a debugging-first language model designed for repository-scale code understanding and autonomous bug fixing. It targets developers and teams seeking to significantly improve debugging efficiency and accuracy, claiming up to 8.4x better performance than leading LLMs.

How It Works

Chronos employs a "debugging-first" architecture, trained on 42.5 million real debugging examples, differentiating it from general code completion models. Key innovations include a Persistent Debug Memory for cross-session learning, an Adaptive Graph-Guided Retrieval (AGR) system for efficient context management, and an Output-Optimized Design focused on generating fixes. It operates via an autonomous debugging loop that iteratively proposes, tests, analyzes, and refines solutions.

Quick Start & Requirements

This repository contains research findings, benchmarks, and evaluation frameworks. The Chronos model itself is proprietary and not publicly available. Access is via a waitlist at chronos.so, with beta access in Q4 2025 and general availability in Q1 2026 via the Kodezi OS platform. The research repository can be cloned and dependencies installed via pip install -r requirements.txt.

Highlighted Details

• Achieves 65.3% autonomous debugging success rate, outperforming GPT-4 (8.5%) and Claude-3-Opus (7.8%).
• Demonstrates 78.4% root cause accuracy, significantly higher than baselines.
• Utilizes Adaptive Graph-Guided Retrieval (AGR) for dynamic context expansion, achieving 87.1% success at adaptive depth.
• Shows strong performance across various languages (Python, JavaScript, Java, Go, C++) and repository sizes.

Maintenance & Community

The project is maintained by Kodezi. Community engagement is encouraged via GitHub Discussions. Contact is available via email (research@kodezi.com) and social media (Twitter, LinkedIn).

Licensing & Compatibility

The research repository is licensed under the MIT License. The Chronos model itself is proprietary technology and not included in this repository.

Limitations & Caveats

The Chronos model is not publicly available; access is through a waitlist with future release dates. This repository focuses on research, benchmarks, and evaluation frameworks, not the deployable model itself.