From Kernel Hardening to AI Agents: What the Metal Taught Me About Building AI That Survives Production
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Most people writing about AI agents today started about six months ago. I started in firmware. My first real project out of college was a small streaming dongle — the kind of device that has to run Netflix, Prime, and YouTube on roughly 500MB of memory and 800 MFLOPS of compute . No thermal headroom. No margin for error. I owned most of the stack: RDK-V, a custom embedded browser, Bluetooth, WiFi, driver configuration, kernel hardening. And because shipping it meant five different companies'…
1Key Takeaways
- Most people writing about AI agents today started about six months ago.
- My first real project out of college was a small streaming dongle — the kind of device that has to run Netflix, Prime, and YouTube on roughly 500MB of memory and 800 MFLOPS of compute .
- I owned most of the stack: RDK-V, a custom embedded browser, Bluetooth, WiFi, driver configuration, kernel hardening.
- And because shipping it meant five different companies'….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that most people writing about AI agents today started about six months ago.
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