AI Driven SDLC
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AI Driven SDLC Documentation

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

Integrations

Integrations

Same categories as the Integrations step in the app: what you can hook up today.


How this page is organized

During onboarding (and later under Settings → Integrations) you pick tools by category: source control, CI/CD, AI tools, HR, monitoring, and the rest. Some entries connect today; others show Coming soon in the app. This page mirrors those buckets so you’re not guessing.

Connect and disconnect anytime from Settings → Integrations. Removing a source stops new data; what’s already in your workspace stays until you clear it.

Source control

Where your code lives. You need at least one connection here for readiness and most delivery metrics.

CI/CD

Other CI tools (Jenkins, CircleCI, etc.) are listed in the catalog but not connectable yet.

Product tracking

Ticket and incident signals for Delivery and Quality. Connect Jira today; GitHub Issues appears in the app catalog as Coming soon.

AI tools

Worth connecting if you enabled AI Usage & Spend in onboarding.

HR & people

You can also upload an org chart CSV during onboarding instead of HR software.

Monitoring & observability

Connect one or more of these for live Quality and DORA signals (incidents, MTTR, deployment frequency). Each connector is read-only and syncs on a daily schedule (or Sync now).

Code quality

Coming soon

Confluence, Datadog, GitHub Issues (as a dedicated Product Tracking connector), and other catalog names appear in the tech stack UI with a Coming soon badge. Planning list and substitutes.

Suggested order for a new workspace

  1. GitHub
  2. Jira when you want live ticket and incident signals for Delivery and Quality
  3. Cursor or Claude if you care about adoption metrics
  4. Personio, ZenHR, or Zelt (or CSV) when team filters matter
  5. GitHub Actions when you want CI health on the leadership view
  6. New Relic, Prometheus, Grafana, PagerDuty, Opsgenie, or GoAlert when you want live incident and DORA recovery metrics