Abstract
AI is writing more code than ever—but not all LLMs code the same way. In this research report, Sonar analyzes the quality and security of code produced by leading large language models, uncovering distinct strengths, risks, and measurable “coding personalities” that influence real-world outcomes.
What’s Inside the Report
- 1. Code quality and security analysis across top LLMs
- 2. Strengths and limitations of each model
- 3. How LLM “coding personalities” impact results
- 4. What this means for AI adoption in your SDLC