LLM Evals For Developer Tools: Useful, Correct, Safe

In 2026, the importance of evaluating large language models (LLMs) in developer tools is highlighted as a critical step in ensuring they remain useful, accurate, and safe. Despite initial demos and positive screenshots, real-world usage reveals significant gaps in understanding how these tools improve over time. Effective evaluations are essential to bridge the gap between promising demos and proven performance, making them crucial for developers aiming to create reliable and efficient tools. This focus on evaluation is vital for the ongoing development and trust in AI-driven solutions in software engineering.