In 2024, something shifted: AI-native apps started taking off. And we realized that our architecture was uniquely well-suited to power them. We leaned into agent-focused development, and within a few months, over 80% of databases were being created by AI agents rather than humans.
The benefits of incremental development include a reduction of the potential risk in the project. If the architecture is for a family of related systems, the infrastructure can be reused across the family, lowering the per-system cost of each.
One skill every ML engineer has to master ↓
𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺 𝗱𝗲𝘀𝗶𝗴𝗻
Yes. And do you know why?
Because good ML system design has NOT changed at all in the last 5 years.
And it won't.
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