Luca and Jeff dive into how AI tools can supercharge embedded development workflows. Luca shares his extensive hands-on experience, while Jeff brings a fresh perspective as someone just starting to incorporate these tools. They explore how AI can help with coding, testing, and debugging - while emphasizing that good software engineering judgment remains crucial. The conversation is particularly timely since AI tools are evolving rapidly, unlike their usually more "evergreen" podcast topics.

A key insight they discuss is that while AI tools offer amazing productivity boosts (much like IDEs did), they're not replacing experienced developers anytime soon. However, they raise interesting questions about the future job market for junior developers. Their take? Modern developers should absolutely embrace AI tools, but use them thoughtfully - especially when learning.

Key Timestamps and Topics:

00:00:00 - Welcome and episode overview

00:00:43 - Why this topic won't age well (but that's okay!)

00:02:20 - Breaking down different AI coding tools

00:08:00 - Deep dive into aider and workflow integration

00:20:02 - Using AI for testing and test-driven development

00:27:00 - AI-assisted architecture work and its limitations

00:30:40 - How AI helps explore unfamiliar codebases

00:33:30 - Debugging with AI - pros and cons

00:38:50 - What this means for development jobs

00:43:59 - Using AI to learn new frameworks/languages

00:46:15 - Embedded Online Conference preview

You can find Jeff at https://jeffgable.com.
You can find Luca at https://luca.engineer.

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AI-augmented software development