You vibe-code it.We make it production-ready.
Building with AI is easy. Making it secure, scalable, and production-ready is the part nobody warns you about. NebCore puts a senior engineering team of AI agents between your prompts and production.
The part nobody warns you about
The prompt-to-prototype gap closed overnight. The prototype-to-production gap is where these eight problems live.
Secrets in the repo
An API key gets pasted inline, committed, and pushed. Now it lives in your git history forever.
Works on my laptop
It ran perfectly in dev. In production it dies. Different environment, no config, and nobody knows why.
No architecture
Everything is one 4,000-line file. Adding the next feature means praying nothing else breaks.
One viral day, a five-figure bill
No autoscaling limits, no budget alerts. Traffic spikes and so does your cloud invoice.
Zero tests
Every change is a coin flip. You only find the regression after a user does.
SSH-and-pray deploys
Shipping means SSHing into a box and copying files. No pipeline, no rollback, no record.
Flying blind
No logs, no metrics, no alerts. The first sign something is down is an angry customer.
Compliance blind spots
The deal needs SOC 2 or HIPAA evidence. You have none, and it kills the contract.
Meet your AI engineering team
The reviewers, guardrails, and operators a funded startup would hire, running as AI agents from day one.
Architecture-Review Agent
Reads your design and your pull requests, flags the structural mistakes a senior engineer would catch, and suggests the fix before it ships.
NebGuard
Guardrails check your code as you write it. Hard-coded secrets, insecure defaults, and risky cloud calls get blocked at the keystroke instead of in a postmortem.
NebPilot
Turns intent into production infrastructure. Describe what the app needs; NebPilot scaffolds the Kubernetes, networking, and cloud resources as reviewable, declarative config.
Automated Delivery
Every change deploys through Git with a progressive canary rollout. If a health gate fails, the rollout reverts automatically before the regression reaches the rest of your users.
From prompt to production
Five steps from the idea in your head to a healthy app serving real traffic, without ever leaving your editor.
You vibe-code
Build the feature with your AI assistant the way you already do.
NebGuard guards
Insecure code, leaked secrets, and risky calls are blocked as they are written.
Architecture review
The review agent checks the design and your PR for structural problems.
Scaffold & deploy
NebPilot provisions the infra; the platform ships it with a safe canary rollout.
Stay healthy
Live dashboards and auto-rollback keep it running after you walk away.
Bring your own AI assistant
Keep the AI coding tool you already love. NebCore plugs in underneath it.
Model Context Protocol bridge
nebcli mcpRuns as a local stdio MCP server that bridges your AI coding assistant (Cursor, Claude, and others) to NebCore's guarded platform. Your assistant gets the platform's tools; the platform keeps its guardrails. No backend wiring required.
nebcli loginNo static credentials
A browser device-code flow signs you in through your own identity provider. No long-lived keys to leak.
nebcli doctorSelf-serve diagnostics
One command checks your auth, context, and connectivity and tells you exactly what to fix.
RBAC-scoped accessLeast privilege by default
The bridge only exposes the actions your role is allowed to take, so your assistant can never reach past its permissions.
What stays healthy after you ship
Shipping is the start, not the finish. NebCore keeps watching once you go live.
AI incident response
When something breaks, an AI incident-responder triages it, opens the follow-up work, and notifies your team before you've noticed.
Questions builders ask
Is AI-generated code secure?
Not on its own. AI assistants happily write hard-coded secrets, insecure defaults, and risky cloud calls. NebCore puts NebGuard's guardrails in the loop so those mistakes get blocked as the code is written, and an admission gate stops anything risky from reaching production. You get AI speed with a senior engineer's safety net.
Can a vibe-coded app actually scale?
Yes, once it runs on real infrastructure. NebPilot scaffolds your app onto Kubernetes with autoscaling, and the platform deploys it with a progressive canary rollout and automatic rollback. The prototype you built in an afternoon ships on the same multi-cloud foundation that runs production workloads.
Do I need to know Kubernetes?
No. You describe what your app needs in plain language and NebPilot generates the Kubernetes, networking, and cloud configuration for you as reviewable declarative files. You stay in your editor; the platform handles the infrastructure underneath.
Does it work with my AI coding tool?
Yes. The nebcli mcp command runs a local Model Context Protocol server that bridges your AI coding assistant, such as Cursor or Claude, to NebCore's guarded platform, with RBAC-scoped access and no static credentials. You keep the assistant you already use.
Ship your AI-built app like a senior team would.
Bring your prompts. We'll bring the reviews, the guardrails, and the pipeline.