Prototype faster
Setting up projects, configuring peripherals and adding simple functionality: make prototypes in a fraction of the time, so you can spend more time on the final product.
Automate the tedious
Tests. Custom-board ports. Documentation. SDK version ports. Let the AI assistant do the busywork, so you can focus on the work that requires the most skill.
Debug efficiently
With better context and access to real-world failure data, your AI assistant can help identify and solve issues faster and more reliably, whenever they happen in your product lifecycle.
Higher quality, lower cost
More accurate reference material for the LLM to work with means fewer tokens spent on corrections. Increasing the quality and lowering the AI cost at the same time.