nmux is the exo-suit your team wears to practice Hyper Engineering — through the day, in your own environment. Not an enterprise platform installed for your team. A suit they wear to ship more.
Your engineers are shipping faster with Copilot, Cursor, and Claude — and you've inherited an operating problem. Output untracked. Two engineers prompt the same model, get different code. Reviews become a liability, not a safety net.
And nobody can answer the question your CFO keeps asking: what did we actually build this quarter, and how do we know it works?
↳ the market's answer
The reflex has been to sell you a replacement: an enterprise AI platform, pitched to your executives, installed by IT, learned by your engineers over six months. Replatforming as governance.
But AI doesn't hold still for six months. Models, agents, and patterns shift in weeks. By the time the rollout finishes, the platform is built for a world that's already moved on — and your engineers, who can't afford to wait, have shipped without it. Replatforming is a bet that the ground stops moving. It doesn't.
Neither option works. One leaves your engineers un-governed. The other slows them down while the field moves on. nmux lets them level up tomorrow.
You don't have to choose between un-governed AI and a platform that slows your engineers down. nmux lets your team practice Hyper Engineering — building software at extreme scale by uniting human creativity with AI-driven automation, architecture, and resilience. Specialized agents for design, implementation, review, verification — each artifact traceable, each decision logged, each run reproducible.
Queue specifications and supervise runs through the day. Every spec runs on its own branch with a complete shift report — reviewers approve work, never chase it. Supervised by day, or queued overnight — same artifacts either way.
Scaling happens by adding pipelines and execution environments, not by adding seats.
Every pipeline runs through specialized agents for design, implementation, review, and refinement. Failed reviews automatically route back. Your standards become the floor — not a hope.
All pipelines, agents, workflows, procedures, and standards are composable and customizable to fit the requirements, constraints and policies you might have.
Every line of shipped code traces back through intent, spec, design, code, test, review, and deploy. Every decision, every exchange, every routing decision, all are accounted for. Your auditor and your CTO get the same answer.
engineer queues specs. pipeline runs. tech lead ships.
You bring the judgment. nmux brings the discipline.
Harnesses make individual engineers fast. Platforms promise governance, eventually. nmux gives your team both, on day one. Here's how the three paths actually compare.
Engineering teams currently evaluating nmux
Too many things to ship, too few engineers. The case for nmux looks different depending on whose office you walk into — same platform, two readings.
Admin panels, CSV exporters, ops scripts — the small-tools backlog your team never finds a week for. Queue them as specs. Engineers supervise through the day. Cleared in weeks.
The cross-cutting refactor postponed for two quarters. Queue it as parallel specs — your standards held constant across services. By Friday: updated, traced, regression-free.
Hiring is slow. Competition is fast. Run multiple features through the pipeline in parallel — each PR arrives with design, review, and verification work attached.
Those are harnesses — assistants for individual engineers. nmux is the exo-suit your team practices hyper engineering in: specialized agents in a pipeline, your standards enforced at the gate, every artifact traced back to intent. Keep the harness your engineers use. nmux tells you what got shipped.
Devin and similar SaaS aim to replace your engineers. nmux is an exo-suit — your engineers stay the operators. They queue specs, supervise runs, sign off PRs. nmux moves the work between phases, in your environment. Code, secrets, and IP never leave. Pipelines are deterministic, every decision logged, every build reproducible six months later.
The gate enforces your standards — automatically. Reviews that fail your criteria route the work back to implementation. The pipeline doesn't advance until the gate passes. Your standards become the floor, not a hope.
Any of them. You bring the provider — OpenAI, Anthropic, Google, your own self-hosted model — and nmux orchestrates around it. If you need fully local inference for compliance, we can run with that too.
We're sharing pricing on the walkthrough so we can match the model to how your team actually ships. Bring your shape — team size, target throughput, environment — and we'll bring the numbers.
Book a slot on /walkthrough — calendar invite, then the call. 30 minutes with an engineer (not a sales rep). We'll run cart-recovery v2 through the pipeline live, or your own spec if you bring one. Every artifact attached, every question answered. No slides, no follow-up sequences.
See the exo-suit ship a real spec, live. Bring your own, or we'll run cart-recovery v2 from intent to PR — with every artifact attached. Your team asks the questions. 30 minutes. No slides.