AI-assisted development​

Move faster with AI-assisted development — Less time on repetitive and tedious tasks, more time on features that matter

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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.