The founders of Diode Computer leveraged their unique skills as electrical and software engineers to create an AI circuit board co-pilot, addressing a gap in communication between hardware and software engineering.

We're on the pathway to AI being able to design chips better than humans, which could eliminate bottlenecks in achieving greater intelligence.

We've applied AI to various tasks, including chip design and scheduling, making processes more efficient, but it remains constrained to domains that are provably correct, like mathematics and coding.

As AI tools handle more low-level programming tasks, the role of software designers will increasingly focus on higher-level design, making software design more important than ever.

The recent YC o1 hackathon showcased how AI can automate complex tasks like circuit design, demonstrating significant advancements in reasoning capabilities.

Currently, we manually build the component catalog for synthetic data generation, but we are developing AI tools to automate this process and intelligently assemble components into systems.

Automat is developing a more effective robotic process automation solution that eliminates the need for costly consultants, leveraging recent AI advancements.

The rise of AI tools is addressing the software development deficit, allowing for more efficient code generation and management.

AI can now fully automate processes that previously required human teams, such as QA testing, allowing companies to operate without traditional roles.