FastCode: Fast and Cost-Efficient Code Understanding and Reasoning
Repository-scale code reasoning is a cornerstone of modern AI-assisted software engineering, enabling Large Language Models (LLMs) to handle complex workflows from program comprehension to complex debugging. However, balancing accuracy with context cost remains a significant bottleneck, as existing agentic approaches often waste computational resources through inefficient, iterative full-text exploration. To address this, we introduce FastCode, a framework that decouples repository exploration from content consumption. FastCode utilizes a structural scouting mechanism to navigate a lightweight semantic-structural map of the codebase, allowing the system to trace dependencies and pinpoint ...
| Authors | Zhonghang Li, Zongwei Li, Yuxuan Chen et al. |
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| Primary category | cs.SE |
| Published | 1 March 2026 |
| Last updated at source | 3 March 2026 |
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