Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
This talk addresses the quality of code generated by Large Language Models (LLMs) for enterprise use. While LLMs show high functional correctness on standard benchmarks, they often produce code that is verbose, complex, insecure, and difficult to maintain. The presentation introduces an evaluation framework and a proposed agent-centric development cycle to address these shortcomings and ensure LLM-generated code meets engineering standards.
Europe 2026 15 min