Ship More. Operate Less.
The sprint keeps losing days to deploys, alerts, and environment babysitting. Golden paths on a platform that runs itself: the AI Native SDLC ships the work, agents run the operations, and your own AI assistant is wired to the real platform.
You lead an engineering team, and the sprint keeps losing to operations. The roadmap slips a day at a time, never all at once.
- deploys
- need a shepherd
- alerts
- eat an afternoon
- environments
- only one person can fix
Industry-median toil hit 30% of engineering time in 2025, and is still climbing (Catchpoint SRE Survey 2025).
Golden paths hand that time back, and this page is the platform they run on.
AI Native SDLC
Your AI workforce ships engineering the way a disciplined senior team would: design first, reviewed at every step, and proven against the running system. A governed software development lifecycle, not a code-spraying chatbot.
Understand
Agents map the goal against your codebase and the real constraints before touching a line.
Architect
Features and user-facing work get a design with the tradeoffs made explicit, and a person approves it before the build starts. Bounded fixes skip the signature, never the review.
Plan
The design becomes a step-by-step implementation plan, with no open decisions left to chance.
Build
Agents implement to the plan, test-first, matching the patterns already in your repo.
Ship
The work lands as a pull request. It merges only when an independent reviewer agent reports zero blocking findings.
Verify
Every change is proven against the running system with real evidence, never a guess that it looks correct.
The same discipline your strongest engineers apply, enforced on every change an agent makes. Each phase ends in a named artifact: the design, the plan, the pull request, the verification trace.
A Three-Key Developer Experience
The entire developer experience fits on three keys.
Describe it in plain language
It becomes a running service.
Git is the deploy button
Infrastructure follows your commits.
Escape the tooling
No infrastructure-as-code expertise needed.
Configure Once. AI Operates Forever.
You write the intent once. AI agents do the operating. Every deploy, every scale event, every incident, for as long as the app lives.
You punch it once
Your intent, said in chat, Slack, or the terminal.
The head reads it
Intake picks the proven NebPilot playbook; agents take ownership of deploy, scale, heal, and remediate.
The tape loops
Operations keep running for as long as the app lives; no runbook hand-offs, no 2 a.m. pages for what the agents resolve on their own.
Agent-Driven Progressive Delivery
Agents roll out canaries, watch the metrics, and promote or roll back. Nobody has to babysit the dashboard.
STAGE · YOUR NEW RELEASE
Seats fill as the gates pass.
Quality Gates
error_rate < 1%latency_p95 < 500mssuccess_rate ≥ 95%A failed gate stops the seating: the audience leaves and the release rolls back automatically.
GOVERNED WORKAgents take work from request to merged pull request through the same review gates your engineers use: a human sign-off between design and build on features, and an independent reviewer agent that must reach zero blocking findings before any PR merges.
Enterprise CI/CD Out of the Box
Production-grade pipelines from the first commit.
One Release, Every Region
A single release, promoted to all your regions in parallel.
DEPLOY ONCE · EVERY REGION ADOPTS THE RELEASE
Independent canary analysis · Automatic promotion · Auto-rollback
Bring Your Own AI Assistant
Keep the editor you already use. One command connects Cursor, Claude, or any MCP client to your live platform, so your assistant stops guessing about your infrastructure and starts acting on the real thing.
Install once, then connect in three commands:
Install nebcli: one signed command on macOS, Linux, and Windows shells.
$ curl -fsSL https://get.nebcore.ai/install | bash -s -- nebcliInstall NebGuard, so the guardrails are on before the bridge goes live.
$ curl -fsSL https://get.nebcore.ai/install | bash -s -- nebguardAuthenticate to the platform as you, in one short-lived session.
$ nebcli loginStart the local MCP server your assistant connects to.
$ nebcli mcpCheck your local toolchain and cluster access.
$ nebcli doctorNo static API keys handed to a model: the session is yours and revocable. Every call runs through NebGuard inside your own RBAC, so your assistant cannot do anything you cannot.
Around the Pipeline
Everything around the pipeline runs on the same governed platform.
NebGuard for AI-assisted coding
Guardrails on Claude Code and Codex for every engineer, free to install, with an audit trail.
Agents that ship real work
Agents write code, open pull requests, review changes, and deploy them: the AI Engineering add-on, available on top.
Governance rails on by default
Approvals, budgets, and evidence over what agents do, so speed never outruns control.
Ready to Accelerate Your Engineering?
Get started on the platform, or ask for a proof of concept on one real workflow, in your own cloud.