Describe what you need. AVAP builds it. Run it. Change it live.
Learn about AVAP.
Change an API in real time.
Link databases and route AI models.
Describe it. Brunix designs the backend.
Brunix AI can make mistakes. Want Brunix to build and deploy it? Try it in AVAP
Three problems keep adding cost and complexity to every system:
A one-line backend change can still trigger a full build, compile, package, test, and redeploy cycle.
AI agents and MCP tools are being added to traditional backend stacks that have no native concept of agents, tools, or AI-driven execution.
The same business capability has to be exposed through APIs, SDKs, gateways, agent frameworks, MCP servers, and other interfaces.
Software can now be built and operated differently.
AI can participate in development. Humans can define objectives and govern outcomes. Systems can evolve continuously instead of being rebuilt and redeployed for every change.
That requires technology designed around this new way of building software; not another layer on top of the old one.
AVAP is built for software that humans and AI continuously develop, deploy, operate, and maintain.
Changes go live when they are saved; without builds, redeployment, or release windows.
Business logic, APIs, MCP tools, and AI agents run under the same runtime and governance model.
Eliminate the recompile-and-redeploy cycle and reclaim the roughly 30% of software development budgets it can consume.
AVAP brings backend development, deployment, and operations into one environment.
Everything runs through the same runtime and control plane.
AVAP code runs directly on an interpreted runtime. Changes don't require generating a new build artifact or redeploying the application.
Business logic, APIs, MCP tools, and AI agents run as components of the same AI System.
Brunix provides the intelligence to build, operate, manage, and evolve that system across its lifecycle.
AI Systems need infrastructure designed around them, not infrastructure they have to work around.