Blog
The latest thinking from Fermions on chip design, AI, and where agentic engineering is headed.
When an AI suggests “optimizing” your Verilog, it’s optimizing for the wrong things entirely. Here’s a thought experiment. Imagine you’re a chef, and you hire a consultant to optimize your kitchen. The consultant arrives with a software engineering background. They look at your workflow and immediately start suggesting improvements: “Parallelize your prep work across more
As AI becomes increasingly integrated into electronic design automation tools, understanding model performance becomes critical. This technical analysis examines the key metrics and considerations for evaluating AI in EDA contexts. Traditional software metrics don’t fully capture what matters in AI-powered design tools. Accuracy is important, but so are interpretability, consistency, and the ability to quantify
Leading semiconductor companies are transforming their design workflows through strategic AI adoption. This case study examines how three organizations accelerated their processes while maintaining the rigor required for chip development. The common thread across successful implementations is a focus on augmentation rather than automation. Teams that treat AI as a partner—surfacing insights for human review
The semiconductor industry stands at a pivotal moment. As digital chip designs grow exponentially more complex, traditional methods of design and verification are reaching their limits. Artificial intelligence offers a path forward—not as a replacement for human expertise, but as a powerful augmentation. Over the past decade, we’ve witnessed a fundamental shift in how chips
