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[ARTICLE · art-102864] src=code.storage ↗ pub= topic=ai-infrastructure verified=true sentiment=↑ positive

Lovable stores code at scale with Code.Storage

Lovable, an AI-driven software development platform, reported a 230% improvement in p50 fetch latency and 160% improvement in push latency after adopting Code.Storage from Pierre Computer Company, which sustained 99.99% uptime and handled over 90,000 operations at peak. Lovable, which creates over 8 million new repositories per week, chose Code.Storage to support its agentic development workloads, citing trust in the team, high availability, and consistent performance at scale.

read2 min views1 publishedAug 19, 2026
Lovable stores code at scale with Code.Storage
Image: source

<< back Product: Lovable · Industry: Vibe Coding · Location: Stockholm, Sweden

250/sec 15k/sec 230%
Peak repo creation Peak operations Fetch latency improvement

Lovable is defining AI-driven software development and empowering "the 99%" — people with great ideas who finally have the tools to bring them to life. From large enterprises to entrepreneurs to individual creators, millions of Lovable users turn prompts into full projects and production-grade software.

Each Lovable project is one or many git repositories. With frequent prompting, constant agentic iteration, and a latency-sensitive product experience on over 8M new repos per week, Lovable's platform demands unprecedented speed, scale, and reliability from repository storage.

"Pierre has become foundational infrastructure for how we operate AI-native software generation at scale. Their team deeply understands the operational realities of agent-driven development workloads."

— Will Rudenmalm, Member of Technical Staff, Lovable

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

With Code.Storage, Lovable…

  • Experienced 99.99% uptime for critical repository infrastructure
  • Sustained 90,000+ operations at peak
  • Measured 230% improvement in p50 fetch latency and 160% improvement in push latency

The partnership went beyond exceptional product performance. The team at Lovable collaborated deeply with Pierre on infrastructure design and scaling challenges. We shared our roadmap, purpose-built for AI-native software engineering systems. By betting on the team at Pierre Computer Company, Lovable can advance the capability and autonomy of its agentic platform without spending time, resources, or worry on backend performance.

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

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

— Written with ♥ from The Pierre Computer Company

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