AI-assisted development use cases
Debug & verify
Analyze build errors and logs
With Nordic context, your AI assistant can interpret Zephyr and SDK-specific error messages, trace the root cause through dependencies, and point you directly to what needs fixing.
SDK migration
Migrate between nRF Connect SDK versions
With Nordic context, your AI assistant knows what changed between versions — it can surface breaking changes, suggest fixes, and update code directly, turning a days-long task into a focused review.
Prototyping
Find the right sample, modify and adapt it
Let your AI assistant help you find suitable samples from the actual SDK catalog — not a guess — and adapt them to your use case for quick prototyping.
Real-life data insights
Validate a firmware release against real fleet data
With nRF Cloud MCP, your AI assistant can compare a release candidate against live fleet performance data and surface regressions — before they reach production.
Board bring-up
Port a DK project to a custom board
With Nordic context, your AI assistant can generate configuration files, walk you through pin mapping, and surface likely issues before they become blocking — turning a project bottleneck into a guided process.
Zephyr
Add features from Zephyr to your project
Your AI assistant locates the right Kconfig options and devicetree changes, applies them to your project, and explains what changed and why — without trial and error.
Power profiling
Perform deeper and more accurate power analysis
Your AI assistant can now control a connected PPK2 to capture and analyze data about your project's power consumption—ensuring this key aspect of your product always remains within the required limits.
Debugging
Analyze bugs and solutions using real hardware
By starting GDB sessions, your AI assistant can gather information from real hardware about problems and validate the fixes or changes it implements—making the entire development process smoother.
VS Code integration
Direct access to the applications you are working on
The nRF Connect for VS Code extension can now expose information about your applications, builds, and configurations to your AI assistant—making it simpler to work with it side by side.