If you were to “hire” an LLM for your engineering team, who would you get? The sophisticated “senior architect,” or the fast “rapid prototyper?”
You shouldn’t only rely on performance benchmarks alone to find out. Prasenjit Sarkar, Sonar Solutions Marketing Manager, will discuss our latest research analyzing code from today’s leading LLMs—including GPT-5, Claude Sonnet 4, and others—to reveal their distinct “coding personalities.”
You’ll discover:
- How each model has a unique profile of strengths and weaknesses, from producing highly secure code to creating massive amounts of technical debt.
- While they can solve complex problems, they all share fundamental blind spots—with over 90% of all issues found being “code smells” that create long-term maintenance burdens.
- Why the top-performing model for functional correctness may not be the best choice for your team’s needs.