Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar

Summary

The transcript explores the evolving landscape of software development, focusing on the emergence of AI-powered coding agents and large language models (LLMs) that generate code. Speakers like Adnan Qureshi highlight a shift from traditional IDE-based coding to an "agentic" approach where natural language instructions become the primary programming method, with tools like Code X, Claude, and Devin leading the way. While LLM companies tout high pass rates on functional tests, the presentation emphasizes the critical need to evaluate these generated code solutions for deeper qualities like security, maintainability, and real-world reliability, with Sonar developing a comprehensive evaluation framework to assess these dimensions.