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Internal AI agents are infrastructure, not just developer side projects
◆ 85RelevanceOn a story from The Pragmatic Engineer4h ago
Scaling an AI startup requires more than just product features; you need a strategy for internal agentic workflows. Uber’s model shows that measuring productivity gains is essential for justifying the cost of custom internal tooling.
Takeaways
- Treat internal AI agents as core engineering infrastructure from the start.
- Establish clear productivity metrics to evaluate the ROI of custom AI tools.
- Prioritize agent integration into existing workflows over isolated chat interfaces.
Read the original at newsletter.pragmaticengineer.com
Uber’s AI infra, from the inside
fmode.me/n/ubers-ai-infra-from-the-inside
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to The Pragmatic Engineer.
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