Become productive in an unfamiliar codebase in hours, not weeks.
GitOnBoard analyzes an approved repository and produces an evidence-based onboarding guide — cited insights, setup steps, architecture signals, and a recommended first contribution. Every claim traces back to a source.
The demo uses clearly labelled sample data and cannot access private repositories.
Onboarding is a costly, real engineering problem
The knowledge a new developer needs is scattered across code, manifests, issues, PRs, and CI — and it goes stale faster than docs can keep up.
- New hires spend days reverse-engineering structure, setup, and ownership.
- Generic repo dashboards summarize stars and languages — not how to contribute.
- AI summaries without evidence are unsafe: hallucinated commands and fake architecture.
AI that's central, useful, and trustworthy
Not a decorative chat box — a structured, evidence-based workflow with guardrails built in.
Evidence, not vibes
Every insight cites the file, config, issue, PR, or workflow it came from, with a confidence level and a clear detected-fact vs. inferred-recommendation label.
Security-first pipeline
Secrets and PII are redacted before anything reaches the model. Binaries, generated bundles, and high-risk paths are excluded by default.
Prompt-injection aware
Repository text is always data, never instructions. Attempts to override policy, change roles, or exfiltrate secrets are logged and ignored.
A real workflow
A staged, async, resumable scan pipeline — validation through confidence scoring — with live progress instead of a fake instant result.
Ask with citations
"Where does auth happen?" returns an answer backed by repository files — or an honest "not detected" when the evidence isn't there.
GitHub + GitLab
Provider adapters keep OAuth tokens server-side and normalize both platforms behind one analysis interface.
Case study: a developer joining a startup team
The problem
A developer joining a startup engineering team is handed three unfamiliar repositories and expected to ship in a week. Onboarding docs are stale; the real knowledge lives in code, configs, issues, and CI.
Why generic dashboards fail
Repo dashboards report metadata. They don't tell you where authentication lives, how to run the project, which service handles payments, or what to read before your first fix.
The GitOnBoard workflow
Secure OAuth login → strict repository validation → server-side ingestion of approved context → security & privacy gate → structured intelligence → cited AI summaries and contextual Q&A → a recommended first contribution.
The safety model
Content is treated as untrusted. Secrets are redacted pre-retrieval, context is scoped to relevant chunks, outputs are schema-validated, and the AI cannot trigger repo changes, invitations, access changes, or external requests.
Ramp up on the demo repository
Walk the full onboarding guide — cited insights, live scan progress, the security gate, dependency advisories, and a recommended first contribution.
Open the demo workspace