AudaciousGit infrastructure for the next billion developers.
Pierre is building code.storage, git infrastructure built to operate at scale for the AI codegen era. Git is uniquely good at collaborative, async development, with primitives battle-tested for 20+ years; the hard part has always been running it at scale. That’s the work.
Jacob Thornton
A decade+ building in the Bay Area, at Threadsy, Medium, Coinbase, and Twitter.
Ian Ownbey
Consumer tech from Twitter (2010) to Coinbase (2018); backend to iOS, React Native, and React.
More code is coming than all of history combined.
With AI and codegen, more code will be produced in the next year than in the entire history of computer science before it. Single vibe-coding platforms alone are generating hundreds of thousands of new repositories a day, and their customers aren’t developers, and aren’t on GitHub.
Codegen is the primary battleground for foundational models, OpenAI (Codex), Anthropic (Claude Code), Google (Gemini), Poolside, and now Cursor. LLMs are onboarding the next billion developers. They don’t understand git or GitHub, but their tools do.
Git is the right substrate. Running it at scale is the problem.
Deterministic, reproducible state
Content-addressed snapshots you can pin in prompts, evals, and rollbacks, plus branching for human-agent collaboration, multi-shot UX, and incremental writes.
Git is hard to operate at scale
Very few teams have ever built the systems and expertise, GitHub, GitLab, and not many others. Pierre is building that as infrastructure.
The pain, from the teams who’ve tried.
Cobbled-together S3/R2 storage solutions are slow and brittle.
Existing storage APIs aren’t built for collaborative workflows.
Teams duplicate git primitives across Postgres while managing diverging snapshots in S3/R2.
GitHub sync flows are complex and time-consuming to set up and manage.
Rate limits on GitHub, plus fear of Microsoft cutting off API access.
code.storage · Diffs · Trees · DiffsHub
11 staff+ ICs. 150+ years of scale.
The team brings over 150 years of expertise designing, building, and scaling the largest distributed systems in the world.
Backed by $20M+ in funding:
What they’re hiring for.
Systems Engineer
- Proficient in Go, Kubernetes, and high-scale distributed systems
- Self-driven, design and operationalize with no hand-holding
- An expert in your field
Have you done real scale before?
This is infrastructure for the largest codebases in existence. The throughline is engineers who’ve designed and operated high-scale distributed systems in production, not in theory.
Stand up clusters for the largest companies in existence.
SF office, remote friendly. If you’ve built and scaled real distributed systems and want to do it again at the infrastructure layer of the codegen era, reach out for a casual conversation.