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

Sonar ran 4,444 Java programming assignments through 53 models and measured what actually came out. GPT-4o generated under 250,000 lines for those assignments. GPT 5.4 generated 1.2 million. Claude Sonnet 4.6 generated 627,000 with the highest security issue rate at 300 per million lines of code. Prasenjit Sarkar from Sonar walks through the full leaderboard: pass rate, cyclomatic complexity, bug density, and security issues per model. Their response is a three-stage framework called ACDC: guide, verify, solve. The verify stage runs SonarQube analysis in 1 to 5 seconds before a commit, against 1 to 5 minutes in CI. If issues slip through to the PR, a remediation agent creates one fix per issue, runs it through analysis and compilation to check for regressions, and only presents it if it passes. Speaker info: - https://www.linkedin.com/in/jit2600/