Dev environment setup, automated.

The Company Brain for your Developers & Agents.

New engineer, one command. From zero to first commit in hours, not weeks. nBoard automates dev environment setup, access provisioning, and credential delivery — then layers in Octus-Meta to keep your AI agents context-aware.

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>npm install -g @nboard-dev/octus

The Problem

New engineers productive in week one, not week six.

Engineering teams have the knowledge — it lives in scattered docs, Slack threads, and your veterans' heads. nBoard captures it, structures it, and gives Octus everything it needs to onboard each new hire automatically.

From scattered context

  • DM @teammate
  • #eng-help, no answer
  • interrupt the sr engineer
  • Notion wiki
  • Doc nobody updated
  • setup.md (fails on your machine)
  • onboarding.pdf (v2021)
  • deprecated/wiki
ANALYZEPLANEXECUTEREPORT
Automated environment setup via Octus agent
nBoard
🐙Octus Agent

How Octus works

To structured context

  • New hire productive in days, not weeks

    Reproducible setup runs in 30 minutes.

  • Senior engineers stop being the bottleneck

    Octus Chat answers what Slack DMs used to.

  • Tribal knowledge stays in the codebase

    Decisions embedded where AI agents can read them.

  • Docs that age gracefully

    Freshness-scored. Stale content surfaced automatically.

  • Onboarding metrics your manager can show leadership

    Time-to-first-PR, blocker patterns, setup success rate.

Octus

Built for your whole team

Value for every role on the team.

nBoard compounds value across the org — from the CTO measuring retention to the engineer who just wants to ship.

Recovered time is not about working more — it is about concentrating on high-value activities that move the business forward.

For CTOs & VPs

Business Benefits

  • Up to 50% reduction in onboarding costs and time-to-productivity
  • Improved talent retention through structured, measurable onboarding
  • Operational scalability without adding burden on the senior engineering team
  • Preservation of organizational knowledge in the face of team turnover — powered by Octus-Meta

Octus-Meta · In action

Decisions live in the code, not in stale wikis.

Your codebase, with embedded context

// @octus-meta
@decision: "We use idempotency keys for all
payment retries — Stripe outage Nov 2024.”
@owner: payments-team
@stale-after: 90d
async function processCharge(order) {
const key = idempotencyKey(order.id);
return stripe.charges.create({...});
}

Every agent now understands

  • Claude Code

    Knows: idempotency required for retries

  • Cursor

    Knows: payments-team owns this surface

  • Codex

    Knows: decision rationale & precedent

  • New engineer

    Productive Day 1 — no Slack ping needed

What Octus-Meta gives you

The context layer your agents have been missing.

Decision context

Every architectural decision embedded as @decision annotations — agents know the why, not just the what.

Ownership signals

@owner tags tell every AI tool which team to reference before touching a module. No more guessing.

Freshness enforcement

@stale-after dates surface outdated context automatically — before it causes a bad AI suggestion.

Agent-native format

Cursor, Claude Code, and Codex read Octus-Meta out of the box — no plugins, no custom config required.

Zero-friction onboarding

New engineers walk into a codebase that explains itself. First commit in hours, not weeks.

Audit trail in source

Context is versioned with your code. No drift between documentation and what the repo actually does.

Pricing

Choose your pricing

Every plan includes Octus AI agent, onboarding & documentation dashboards, and manager and developer views.

Starter

For early-stage teams getting onboarding off the ground.

Growth

For scaling teams that need insight and AI context.

Scale

For engineering orgs going fully agentic.

Up to 10 developers

Up to 1 manager

  • Onboarding dashboard (dev + manager)
  • Automated env setup & blocker detection
  • Documentation wiki & freshness scoring
  • Octus AI agent
  • Time-to-first-commit tracking

Up to 30 developers

Up to 5 managers

  • Everything in Starter, plus...
  • Advanced analytics dashboard
  • Repeat blocker pattern detection
  • Octus-Meta preview (AI-readable context)
  • Slack & Linear integrations

Custom

  • Everything in Growth, plus...
  • Custom integrations
  • Dedicated account manager
  • SSO, audit logs, on-prem agent options
  • Full Octus-Meta layer for agentic teams

All packages include: Octus AI agent · Onboarding dashboard · Documentation dashboard · Manager & Developer views

FAQ

What engineering leaders ask before joining the pilot.

How fast does a new engineer actually ship their first commit?

Hours, not weeks. Octus reads your repo, generates a setup plan, and executes it locally on the new hire’s machine — dependencies, env vars, services, seed data. Pilot teams have taken engineers from laptop-zero to first merged PR on day one. The two-to-four week ramp you’re benchmarking against disappears.

Does our source code ever leave the developer’s machine?

No. Octus runs locally as a CLI on the engineer’s machine and operates on the repo they’ve already cloned. We process metadata and structural context — never source files — and we never train on customer code. For regulated buyers we provide a security brief covering data flow, retention, and SOC 2 roadmap on request.

Why not just use Notion, Confluence, or a better README?

Static docs are stale the moment they’re written, and nobody updates them. nBoard’s living documentation regenerates on every PR and push, scores freshness automatically, and surfaces drift before it bites. You’re not buying a wiki — you’re buying the guarantee that the wiki is true today.

How is this different from Cursor, Copilot, or Claude Code?

Those tools are smart about code in general. They know nothing about your company. Octus-Meta is a machine-readable context layer embedded in your repo — conventions, ownership, architectural decisions, gotchas — that every AI agent reads automatically. Cursor and Claude Code get sharper the day you install nBoard. We make the tools you already pay for company-aware.

What does getting started look like?

Two-week pilot on one repo. We onboard one new hire (or simulate it with an existing engineer), stand up your living wiki, and seed your Octus-Meta layer. You get a measurable ramp-time delta and a freshness score on your docs at the end. No procurement gauntlet, no six-month rollout — one repo, one engineer, two weeks.

What stack and repo setup do you support?

GitHub-hosted repos in TypeScript, Python, Go, and Node-based monorepos are first-class today. We’re actively expanding to GitLab, Bitbucket, and additional language ecosystems through the pilot cohort. If your stack isn’t listed, tell us in the waitlist form — pilot customers shape the roadmap directly.

How do you measure ROI for an engineering leader?

Three numbers we report back inside the first month: time-to-first-commit, time-to-first-independent-PR, and documentation freshness score across your top repos. For a 50-engineer org with quarterly hiring, cutting ramp from three weeks to three days is roughly a full headcount of recovered capacity per year. We give you the dashboard and the math.

When can we actually use it, and what does it cost?

Pilot cohort is open now and we’re onboarding teams weekly. Pricing during pilot is per-seat with the first month free for design partners who let us publish a case study. Public GA pricing lands alongside broader self-serve availability later this year — waitlist teams get locked-in pilot pricing for their first contract year.

Early Access — Q2 2026 Cohort

Your codebase knows
what to build. Make sure
your agents do too.

Join the design partner cohort. We're onboarding engineering teams of 10–60 developers shipping fast.

Get Early Access→
Book a 20-min call →