InfoQ (1 hour ago)
DoorDash reduced grocery reorder latency from 16 to 2 seconds by precomputing recurring purchase needs using batch LLM inference and deterministic validation. Live catalog resolution keeps product selections current, while an editable shopping interface avoids unnecessary model calls.
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Combining the NetBSD kernel with the Alpine Linux userland
GoDaddy’s Airo AI Builder can build a custom website in minutes from a prompt, and you can get started for free
Companies like Hoto and Fanttik have elevated the design and functionality of tools like electric screwdrivers, but Arrowmax wants to make them smarter by adding a camera and AI that work together to eliminate the trial and error of finding the exact type and size of bit you need.
‘Not great’ shopping agents still have a long way to go, Amazon CEO Andy Jassy says.
DoorDash said that it is open to working with third-party agent makers
That manager is Felix Rieseberg. He’s led engineering on Claude.ai and the Claude Code desktop app, among other things. Earlier this week, he posted on X that the coding interview no longer tells him anything useful. So he pulled it from his team’s hiring loops this month.
Netflix has detailed how it is building a reliability platform for large-scale GPU training and inference, using layered health checks, automated remediation, and fault-tolerant training to keep jobs running despite hardware failures. By Craig Risi
Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption.
Netflix has added single-tenant Titus, a mode that runs one task alone on its own right-sized EC2 instance. The Compute/Platform team still owns and patches the host, so application teams keep the same API and deployment path By Claudio Masolo
In this episode, members of the InfoQ AI and ML editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software dev.
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