You build it with AI.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 AI puts a senior engineering team of AI agents between your prompts and production.
The part nobody warns you about
Not six separate mistakes: one causal chain. Week one builds it, launch day pushes it, and where the chain gets stopped decides everything.
Week one builds the chain. Launch day pushes it.
ALREADY IN THE REPO · FALLEN
- 1A live key, pasted and pushed
- 2One 4,000-line file, no seams
- 3Deploys by SSH, no way back
NEVER FALLS · THE BLOCK HOLDS
- 4The five-figure viral-day bill
- 5The outage that runs for hours, unseen
- 6The customer finding out before you do
GUARDRAILS + ADMISSION GATE + CANARY · INSERTED MID-CHAIN, NOT AFTER THE WRECK
Meet your AI engineering team
The reqs a funded startup would post. Every one is closed on day one: filled by an agent, or stamped shut because the platform ships with the role built in.
Read every design and pull request, catch the structural mistakes a senior engineer would, and hand back the fix before anything ships.
Filled by Architecture-Review Agent
Watch code as it is written. Block hard-coded secrets, insecure defaults, and risky cloud calls before they ever run.
NebGuard guards the code as it is written; this role never needs filling.
Take a plain-language request, pick the proven playbook, and put the right agents on each step of the work.
Filled by NebPilot
Ship every change through Git with a progressive canary rollout. Revert automatically the moment a health gate fails.
Canary rollouts, health gates, and auto-rollback are the pipeline itself; there is no seat to fill.
From prompt to production
Five stations between a prompt in your editor and an app serving real traffic. The climb is staffed the whole way up.
Build with your assistant
The feature starts in your editor, written with the AI assistant you already use.
Guardrails at write time
NebGuard blocks pasted keys, weak defaults, and dangerous cloud calls as the code is written.
Review before merge
The architecture-review agent reads the design and the pull request and flags what a senior engineer would.
Launch on a canary
NebPilot picks the proven playbook and the change ships through Git on a progressive canary rollout.
In service, watched
Live dashboards track cost, security, and health, and a failed health gate rolls the release back automatically.
Bring your own AI assistant
Keep the AI coding tool you already love. NebCore AI plugs in underneath it.
POWER FEED · INSTALL ONCE
installs nebcli: one signed line on macOS, Linux, and Windows shells
$ curl -fsSL https://get.nebcore.ai/install | bash -s -- nebcliadds NebGuard, so the guardrails are live before your assistant plugs in
$ curl -fsSL https://get.nebcore.ai/install | bash -s -- nebguardnebcli mcpA local Model Context Protocol bridge that hands your assistant the platform's tools while the platform keeps its guardrails. No extra wiring.
nebcli loginBrowser sign-in through your own identity provider. No static keys to leak.
nebcli doctorOne command checks auth, context, and connectivity and says what to fix.
Your assistant only reaches the actions your role allows, never past its permissions.
What stays healthy after you ship
Shipping is the start, not the finish. NebCore AI keeps watching once you go live.
RACKED · HEALTHY
INCIDENT BAY
DETECTthe responder isolates the new canary as the cause
ROLLBACKthe release reverts to the last good version; gates go green again
FOLLOW-UPthe fix work is opened with the trace attached
NOTIFYyour team reads it as an FYI, not an SOS
STRIPS STAY RACKED ALL NIGHT · YOU READ THE LOG IN THE MORNING
Questions builders ask
Is AI-generated code secure?
Not on its own. AI assistants happily write pasted keys, weak defaults, and risky cloud calls. NebCore AI 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 an AI-built app actually scale?
Yes, once it runs on real infrastructure. NebPilot's playbook takes 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 the NebPilot playbook produces 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 AI's guarded platform, with RBAC-scoped access and no static credentials. You keep the assistant you already use.
The Rest Is Covered
The same platform behind your deploys brings governance from day one, with a service desk available on top.
NebGuard for your AI assistant
Free guardrails on Claude Code and Codex on your own machine, with a 7-day full trial on install.
Autonomy with receipts
Approval gates, budget caps, and an audit trail over what agents do, mapped to real frameworks.
A service desk, available on top
Your users ask in chat, Slack, or email; agents resolve it end to end while you keep building.
Ship Like a Senior Team
Bring your prompts. We'll bring the reviews, the guardrails, and the pipeline.