How Lovable stores code at scale with Code.Storage

PIERRE COMPUTER COMPANY █<br>CODE STORAGE<br>2026

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Date:AUG.06.2026Feature:How Lovable stores code at scale with Code.StorageAuthor:Jacob Thornton

A case study on Lovables use of Code.Storage.

Product: Lovable · Industry: Vibe Coding · Location: Stockholm, Sweden<br>250/sec 15k/sec 230% Peak repo creationPeak operationsFetch latency improvementLovable is defining AI-driven software development and empowering "the 99%" — people with great<br>ideas who finally have the tools to bring them to life. From large enterprises to entrepreneurs to<br>individual creators, millions of Lovable users turn prompts into full projects and production-grade<br>software.<br>How Code.Storage powers accessible software development

Each Lovable project is one or many git repositories. With frequent prompting, constant agentic<br>iteration, and a latency-sensitive product experience on over 8M new repos per week, Lovable's<br>platform demands unprecedented speed, scale, and reliability from repository storage.<br>"Pierre has become foundational infrastructure for how we operate AI-native software generation at<br>scale. Their team deeply understands the operational realities of agent-driven development<br>workloads."<br>— Will Rudenmalm, Member of Technical Staff, Lovable

Relying on Code.Storage, Lovable could confidently scale its workloads and continue a steep growth<br>trajectory.<br>Results

With Code.Storage, Lovable…<br>Experienced 99.99% uptime for critical repository infrastructure<br>Sustained 90,000+ operations at peak<br>Measured 230% improvement in p50 fetch latency and 160% improvement in push latency<br>The partnership went beyond exceptional product performance. The team at Lovable collaborated deeply<br>with Pierre on infrastructure design and scaling challenges. We shared our roadmap, purpose-built<br>for AI-native software engineering systems. By betting on the team at Pierre Computer Company,<br>Lovable can advance the capability and autonomy of its agentic platform without spending time,<br>resources, or worry on backend performance.

Selecting Code.Storage

Lovable searched for better infrastructure options after wrestling with code storage solutions that<br>weren't built for its scale or use case. The team chose to build with Code.Storage because they<br>trusted the team, high availability promise, embeddable architecture, and consistent performance at<br>massive scale. In the coming months, that bet would pay off as the two engineering teams scaled<br>Code.Storage to support Lovable's entire base of production traffic at 99.99% availability.

Code.Storage for AI software platforms

Like Lovable, industry-defining AI platforms have high standards for performance and reliability at<br>scale. Pierre and Lovable are working together to solve these challenges for some of the biggest and<br>hardest frontier workloads. If you or your company have similar needs, contact us at hey@pierre.co!<br>— Written with ♥ from The Pierre Computer Company

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