AI Driven SDLC
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AI Driven SDLC Documentation

Guides, references, and best practices for the AI Driven SDLC platform.

Getting Started

Getting Started

Sign up, create a workspace, and finish the short setup flow.

Create an account

Go to app.aidrivensdlc.com/get-started and sign in with Google or email and password. If you use email, check your inbox for the verification link before your first login.

Google and email sign-in share the same account when the email address matches, so you can switch methods without losing your workspace.

Create or join a workspace

Everything in the platform lives inside a workspace: your org’s integrations, repo scans, and metrics all sit there.

If someone on your team already set one up, ask them to invite you. Otherwise pick a name during signup (something like Acme Engineering works fine) and you’re the first admin.

Finish onboarding

After login you’ll walk through two setup steps. They’re in order, but you can go back and edit either step later:

  1. 1
    Company profile

    Workspace name and light org context. Nothing has to be exact.

  2. 2
    Integrations

    Connect GitHub (required) and choose an Agent Execution Provider so scans can run. Without those, Agentic Foundation and delivery Insights stay locked.

When both are done and those connectors are ready, Agentic Foundation and delivery Insights show up in the sidebar. AI Usage becomes available after you connect an AI Insights tool (Cursor and/or Claude).

Time to first scan

v1 target: about 15 minutes from signup to first scan started, if you can install the GitHub App yourself. Then expect 5–15 minutes for a normal repo scan to finish (longer for huge monorepos). Details: Onboarding and Readiness scores.

Look around

The AI Journey view in the sidebar is the map: what’s done, what’s next, and links into each phase. You don’t have to finish Agentic Foundation before poking at Insights; both open after you finish onboarding.

Where to go next