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Majority of engineers now rely on AI agents as Uber scales autonomous coding while industry debates risks and workload impact.
Uber is fundamentally transforming its engineering operations through autonomous artificial intelligence, with 95% of the company's engineers now using AI tools monthly, according to Praveen Neppalli Naga, the company's Chief Technology Officer. In a LinkedIn post this week, Naga characterized the shift as a "real reset moment for engineering," signaling a watershed moment in how the ride-sharing giant develops software.
The most significant transformation stems from Agentic AI—software capable of completing complex tasks autonomously with minimal human supervision. Rather than simply accepting AI suggestions, Uber's engineers increasingly delegate entire coding responsibilities to AI agents. This delegation has yielded remarkable results: the company's internal coding agent now generates 1,800 code changes weekly written entirely by AI, escalating from less than 1% of all coding changes to 8% in recent months.
"There is zero human authoring. Engineers review and approve, but the code is written entirely by AI agents," Naga stated, underscoring the autonomy granted to these systems. The results he highlighted have been "phenomenal" following months of intensive investment in AI-assisted coding. A recent Jellyfish study of 700 companies found that 63% of surveyed firms now use AI tools for most coding tasks indicating widespread adoption across the technology sector. Uber's implementation differs notably from competitors' top-down mandates. Rather than forcing adoption through leadership directives, Naga noted that the "strongest adoption" at Uber emerges from engineers "quietly experimenting" with the technology.
The transition has not been seamless across the industry. Amazon implemented new guardrails following multiple outages including one driven primarily by its AI coding tool that resulted in nearly 120000 lost orders. Some software engineers report that AI integration has intensified workloads rather than reducing them, contributing to burnout concerns.
Business Honor is of the view that Uber’s approach signals a broader shift toward autonomous development systems.
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