FROM CODE FOUNDATION MODELS TO AGENTS AND APPLICATIONS: A COMPREHENSIVE SURVEY AND PRACTICAL GUIDE TO CODE INTELLIGENCE (16 HOUR READ)

Summary from the TLDR AI newsletter

This study presents a comprehensive analysis of code-generating large language models across their entire life cycle. It examines both general-purpose models and code-specialized models. The researchers bridged the gap between academic benchmarks and real-world software development challenges through systematic experiments on scaling laws, architectures, and training methodologies. They also conducted a series of experiments that analyzed code pre-training, supervised fine-tuning, and reinforcement learning across multiple dimensions.