NativeLink Cloud - Parallel Build and Remote Execution Platform

When AI agents write your code, your build system becomes the bottleneck. NativeLink is the parallel compute platform that keeps builds fast while your codebase and your agents multiply. Written in Rust, open source, and trusted in production by thousands of developers serving over 10 billion build requests per month.

AI agents commit faster than humans can review and pull dependencies humans never would. Traditional build infrastructure was not designed for this velocity. Teams waste hours waiting on builds, pay for idle compute, and lack the observability to trust what agents produce.

Faster builds. Lower compute bills. Content-addressable storage means unchanged code never compiles twice across your team, your CI, and your agents. Every cache hit is a build you do not pay to run. Teams have demonstrated 4-15x faster builds on LLVM, one of the world's largest C++ codebases.

Scale past one machine. Pay only for what you use. Remote build execution distributes compilation across as many cores as you need and spins them down when you are done. No idle workstations, no idle workers, no idle bill.

Secure by default. SSO, signed inputs, and end-to-end packet integrity keep your source, your artifacts, and your supply chain locked down.

Programmatic build infrastructure for agents. NativeLink turns every build into structured, observable data - every artifact hashed, every dependency traceable, and every action programmable. The substrate your security, compliance, and observability tools need, running at agent speed.

The NativeLink MCP server integrates with Claude Code, Cursor, and Codex, giving your AI coding agent five real tools. Your agent can configure remote caching, pull docs, and tune builds without leaving the editor.

• Build systems: Bazel, Buck2, Siso, Pants, Goma, CMake (via recc), BuildStream, Cargo, GN, Soong
• Languages: C++, Rust, Python, Go, and more
• Cloud providers: AWS, GCP, Azure, or your own bare-metal hardware
• Architectures: x86, ARM, and GPU worker fleets

Zero build-system rewrites required. Drop NativeLink into your existing setup and get your first cache hit in ten minutes.

• 4-15x faster builds demonstrated on production codebases
• 10B+ build requests per month served in production
• 10 minutes from Docker startup to your first reusable remote cache
• 94.7% cache hit rates observed on the NativeLink Cloud dashboard

• Robotics and Autonomous Systems: Cache what is stable, distribute what is new, and go from code change to track-tested in minutes instead of hours.
• Semiconductors and EDA: Verification, synthesis, and timing closure reward content-addressable caching the same way large C++ builds do.
• Consumer Electronics and Mobile: Android, embedded firmware, and cross-platform clients with millions of build targets across dozens of variants.
• Developer Infrastructure and OS: Linux distributions, security platforms, and the systems other systems depend on need fast, reproducible, secure builds.
• AI/ML Platforms: Model code, data pipelines, and inference services that rebuild constantly stay tight when agents commit ten times an hour.
• Browsers and Web Platforms: Chromium and its descendants are some of the largest C++ codebases on the open web. NativeLink speaks Siso natively.

Clients (Bazel, Buck2, Siso, Pants) connect to a scheduler for action dispatch and worker assignment. Content-addressed storage handles deduplication and caching. An action cache stores results and provenance. Worker fleets span x86, ARM, and GPU across AWS, GCP, or bare metal.

Use NativeLink Cloud to start building faster today.