💻 AI Engineering Productivity Splits Into Three Tiers — From 20% Gains to 8x at the 'Software Factor

💻 AI Engineering Productivity Splits Into Three Tiers — From 20% Gains to 8x at the 'Software Factory' Frontier

Tom Tunguz (Theory Ventures) maps the real spread of AI coding productivity gains — and it's not one number.
• Baseline tier: distributing an AI IDE with no other changes nets just 20-46% gains (Google's RCT: 21%; GitHub: 24%).
• Frontier tier: companies building an operating layer around agents — Replit, NVIDIA, Amplitude, Anthropic — see 2.5-3x more code shipped, with review time, bugs, and incidents flat.
• Factory tier: Nubank's use of Devin for large-scale refactoring hit 8x efficiency and a 20x cost reduction.
"The gap is not the model but the operating discipline built around it."
For fintech and SaaS leaders benchmarking AI ROI, the takeaway is stark: model access alone buys single-digit gains — the multiples come from process redesign.

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