Getting Started
Account, workspace, and the two onboarding steps.
Your AI Journey
How onboarding, repo readiness, and metrics fit together.
Onboarding
Profile and integrations (GitHub + Agent Execution).
Agentic Foundation
Repo readiness scores and what to fix first.
Insights
Delivery trends and AI tool usage.
Engineering Context
Wikis and how the workspace repositories fit together.
Integrations
GitHub, Cursor, Claude, HR: what works today.
What is this platform?
AI Driven SDLC helps engineering orgs see where they stand with AI-assisted development: how ready their repos are, how teams deliver, and whether people actually use the AI tools the company pays for. Work flows through three phases (Onboarding, Agentic Foundation, and Insights), with the sidebar as the map. Engineering Context sits beside those phases as an experimental extra.
Docs map
- Getting Started: first login and workspace setup
- Your AI Journey: phase overview
- Onboarding: the three setup steps
- Agentic Foundation: scans, scores, Resolution Hub, Activity Log (fix requests and merged fix PRs)
- Insights: manager and leadership views
- Engineering Context: wikis, workspace picture, and the context graph
- Integrations: per-tool connection guides
- Settings: account and workspace prefs, including Data coverage for ingest status and Message Center for the top-bar bell
- FAQ: quick answers when something’s stuck
New here? Getting Started → Your AI Journey.