Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
PositiveArtificial Intelligence
The launch of Kodezi Chronos marks a significant advancement in debugging technology, addressing the shortcomings of existing large language models like Claude 4.5 Sonnet and Claude 4.1 Opus, which excel in code synthesis but struggle with real debugging tasks, scoring under 15%. In contrast, Chronos achieves a remarkable 67.3% fix accuracy on 5,000 real-world scenarios, showcasing its effectiveness. It also boasts an 80.33% resolution rate on SWE-bench Lite, outperforming competitors by a substantial margin. With repository-specific highs of 96.1% on Sympy and 90.4% on Django, Chronos not only enhances accuracy but also significantly reduces debugging time by 40% and iterations by 65%. This model is set to be available in Kodezi OS by Q4 2025 and via API in Q1 2026, promising to transform the debugging landscape for developers managing large codebases.
— via World Pulse Now AI Editorial System
