Structured onboarding for codebases — not a chatbot

Get engineers productive in hours, not days

OnBoardAI is a developer onboarding system for your GitHub repos: automatic structured plans, first tasks, assignments, manager visibility, and team knowledge — updated as your code changes.

dashboard/repos · OnBoardAI

Manager view

Onboarding progress & assignments

Learning pathFirst tasks

Repo-aligned plan

Architecture, risks, key files — plus team notes layered on top. Stays tied to what is on main.

The problem

Onboarding is broken for most teams

If you are a 3–20 person engineering team, you have probably felt all of this.

New engineers take days or weeks to ship their first meaningful change.
The codebase is hard to read and nobody wrote the docs you wish existed.
Onboarding means senior devs answering the same questions on repeat.
There is no structured path — everyone wings it.
Managers cannot see who is stuck or how far along someone is.
Knowledge lives in Slack threads and heads, not in one place.

What we do

A structured system — not passive documentation

OnBoardAI turns your repository into an onboarding workflow your leads can actually run.

  • 01We scan your repository and build a structured onboarding plan.
  • 02You get architecture, critical areas, risks, and key files — not a wall of text.
  • 03We suggest first tasks so new hires start contributing, not just reading.
  • 04Assign onboarding, track progress, and add team knowledge on top.
  • 05When the repo moves, onboarding can stay current — without you rewriting docs.

Built for teams who outgrew “read the wiki” but do not want another generic AI toy — you want speed to first PR and visibility for managers.

How it works

Connect repo → plan → assign → track

Four steps. No manual doc project required to get started.

01

Connect your repo

Link GitHub and pick the repositories your team works in. Low friction — no weeks of setup.

02

We scan and map the codebase

Role-aware analysis surfaces structure, hotspots, and what actually matters for contributors.

03

Get a plan + first tasks

Structured learning path and concrete tasks so people know where to start, not just what exists.

04

Assign and track

Managers assign work, see progress, and layer curated notes over the generated baseline.

Capabilities

Everything in one onboarding workflow

Plans, tasks, assignments, GitHub, team knowledge, and Q&A — wired together instead of scattered tools.

Structured onboarding plan

A real plan from your tree — architecture, critical areas, risks, key files — not a generic summary.

First tasks to contribute

Suggested starting tasks so new engineers move from orientation to PRs faster.

Role-aware views

Frontend, backend, and full-stack paths so each hire sees what matches their job.

Assignments & progress

Onboarding is work, not passive reading. Assign, track, and see where people are stuck.

GitHub + auto-updates

Works with your repos. Optional sync when code changes so the plan does not rot on week two.

Chat / Q&A in context

Ask follow-ups grounded in your workspace configuration — keys stay on the server.

Why not just…

Better than wikis, docs, or a raw LLM chat

You are buying a system for ramp — not a one-off explanation.

Not another static doc

Confluence and READMEs go stale the day after you write them. OnBoardAI regenerates from the repo you actually ship.

Not a generic AI chatbot

We are not here to explain one-off snippets. We are a workflow: plan, tasks, assignments, visibility, team knowledge.

Not “AI magic”

Straightforward output your leads can review: structured paths, risks, files — then your team corrects and extends it.

Pricing

Simple monthly plans

All paid plans include full onboarding features: team knowledge, assignments, manager dashboard, and repo scanning.

Essential

Small teams getting structured onboarding in place.

$29/ month

  • 2 repositories
  • 2 users
  • 10 scans / month
  • 100 chat messages
Book a demo
Popular

Pro

Growing teams with steady hiring and more repos.

$79/ month

  • 5 repositories
  • 5 users
  • 30 scans / month
  • 300 chat messages
Book a demo

Team

More capacity for larger engineering groups.

$249/ month

  • 20 repositories
  • 20 users
  • 100 scans / month
  • 1,000 chat messages
Book a demo

Custom (BYOK)

Your Anthropic or Gemini keys; custom limits for repos, users, scans, and chat.

$199/ month

  • Custom repository count
  • Custom user seats
  • Custom scans / month
  • Custom chat volume
  • You choose provider & models
Book a demo

Custom (BYOK) at $199/mo uses your Anthropic or Gemini API keys and your choice of models; repository, user, scan, and chat limits are set to match your org.

Book a demo

See OnBoardAI on your repositories

Leave your work email. We'll reach out to schedule a walkthrough — scans, assignments, manager visibility, and how pricing maps to your team size.

  • Live look at structured plans and first tasks from a real repo
  • Which plan fits a 3–20 developer team

Stop paying the tax on every new hire

Structured onboarding from the codebase you already have — with managers in the loop.