ALWAYS-ON GITHUBCODE OPTIMIZER
Hardware-Verified. Continuously Optimized. Zero Developer Effort.
Xircuit lives in GitHub, continuously scanning code and auto-restarting optimization for new GPUs. Benchmarks on real hardware, delivers only verified speedups as PRs - compounding gains with zero dev effort.
Be the first to optimize your code on real GPU hardware
AI SPEEDS UP
CODE COSTS MORE
AI labs prioritize inference costs, but inefficient code goes unoptimized. Engineers waste 20-40% time on manual fixes that quickly stale.
AI inference costs are exploding.
Most spend is wasted on slow, outdated code.
AI energy use is a looming infrastructure crisis.
Today's optimization is manual, fragile and one-off.
PROVES ITS OWN
OPTIMIZATIONS
Every optimization Xircuit delivers has been benchmarked on real GPU hardware - not simulated, not estimated. This is the architectural moat that makes Xircuit uniquely trustworthy in production environments.
HARDWARE-VERIFIED CORRECTNESS
Optimizations proven on A100, H100, Jetson, and RPi before delivery. 100% test pass rate enforced. Trust is the scarcest resource in production engineering.
CONTINUOUS IMPROVEMENT
Every new GPU architecture is an automatic re-optimization trigger for every customer's codebase. The platform compounds in value as the hardware landscape evolves.
GITHUB-NATIVE DISTRIBUTION
Embedded in the developer's existing workflow with zero friction, zero migration, and zero behavior change. The stickiest distribution channel in all of software.
OPTIMIZES & VERIFIES SIMULTANEOUSLY
This is our core flywheel: whenever new hardware emerges, the entire cycle restarts automatically for every customer's codebase. Previously optimized code is instantly re-scanned and re-optimized for the new architecture.
| CAPABILITY | XIRCUIT | COPILOT/CURSOR | MANUAL OPT. | CI/CD TOOLS |
|---|---|---|---|---|
| Continuous 24/7 Monitoring | - | - | - | |
| Hardware-Verified Correctness | - | - | - | |
| Automatic PR Generation | Partial | - | - | |
| GitHub-Native (No Migration) | - | |||
| Improves with New Hardware | - | - | - | |
| LLM Inference Optimization | - | - | - | |
| Zero Developer Time Required | - | - | - |
Xircuit is the only platform that closes the full loop: identify → generate → verify on real hardware → deliver.
ALWAYS-ON GITHUB
CODE OPTIMIZER
Xircuit lives in GitHub, continuously scanning code and auto-restarting optimization for new GPUs. Benchmarks on real hardware, delivers only verified speedups as PRs.
COPILOT WRITES, XIRCUIT SPEEDS UP
Xircuit doesn't replace your AI coding tools - it completes them. Copilot and Cursor are AI-assisted implementation engines that help developers write code faster. Xircuit is the hardware-in-the-loop optimization engine that ensures that code actually runs faster on real GPUs.
PROVEN. VALIDATED.
SCALABLE.
Xircuit's core optimization engine has been validated against real workloads on real hardware. The benchmarks are not projections - they are measured results from live runs on production-class GPUs.
Hardware-Verified
Every optimization tested on real GPU hardware.
Continuous Updates
Auto-adapt to new GPU architectures as they release.
GitHub Native
Seamless integration via Copilot and PR workflows.
Zero Config
Connect your repo and start optimizing immediately.
EVERY LINE.
ALWAYS OPTIMIZED.
Join us in building the infrastructure layer that AI cannot scale without. Be the first to optimize your code on real GPU hardware.