The graph your engineers
and your agents need.
SixDegree maps your code, services, deployments, ownership, and incidents into a single engineering graph. Your platform team and the AI tools they deploy get the picture no service catalog can keep current.
Sound familiar?
New engineers spend their first month figuring out who owns what, what depends on what, and where the runbook lives.
Incidents get routed to the wrong team because ownership is in tribal knowledge or in a stale wiki page.
AI coding tools hallucinate because they have no real picture of your codebase, your services, or your conventions.
Architecture decisions get made without knowing what depends on what. Things break. Postmortems start with "we didn't realize."
SixDegree maps your engineering reality across every system you run.
An alert fires. The on-call engineer queries the graph. Every relevant fact, before they touch the runbook.
PagerDuty pages the on-call.
3:47 AM"payments-api error rate above threshold. 14 minutes."
The on-call engineer opens SixDegree.
3:47 AMOne query, the service name. The graph returns everything connected to it.
The engineer has service context.
3:47 AMpayments-api. Owned by @raj's team. 3 deploys in the last 24 hours. Most recent at 11:42 PM, PR #4421, touched the Stripe webhook handler. Reviewer @sam. Pulled from GitHub, Argo, and PagerDuty. Cross-referenced in the graph.
The engineer has dependency and customer context.
3:47 AMpayments-api is upstream of checkout-service and billing-worker. 14 customers active in the last 30 minutes, 3 on Premium tier. Linked to incident channel #inc-payments-api. Pulled from Kubernetes, Datadog, Salesforce, and Slack. Cross-referenced in the graph.
The engineer acts.
3:48 AMRolls back the deploy. Updates the incident channel. Pages the AE for the affected Premium customers. One minute from page to action. With every relevant fact in front of them.
The platform
Want the deeper view of how this works?
The answers your platform team needs instantly.
From the live engineering graph. Not a static service catalog. Not a stale wiki.
“Who owns the billing-worker service?”
@raj's team. Top contributors @raj, @sam, @priya. Most recent commits, on-call rotation, and recent incidents. @raj is OOO this week, @sam is the secondary.
“What breaks if we deprecate the v1 auth endpoint?”
14 services depend on it. 3 are critical-path. 4 customers have integrations against it. 2 partner integrations rely on it. Migration path mapped.
“What changed before the payment service went down?”
3 deploys in the 2 hours prior. One touched the Stripe webhook handler. PR #4421, no second reviewer, merged at 11:42 PM. Incident is still open.
“What does a new engineer need to know about the checkout service?”
Owned by @priya's team. Built in Go. Deployed via Argo. Depends on payments-api, fraud-service, and inventory-cache. On-call rotation, runbook, and recent incidents linked.
The metrics that move.
What engineering leaders measure when their team works with full operating context.
Time-to-context on incidents
From page to full service picture, before the runbook opens.
Ownership resolution accuracy
The right team, the right on-call, on the first page.
Onboarding to first PR
New engineers shipping in days, not weeks.
Architecture decision lead time
The blast-radius answer ready before the design doc.
Connects to your engineering stack.
OAuth in minutes. Code, services, ownership, and incidents unified from day one.
Your codebase. Your team. Your stack.
Queryable by every engineer and every agent.
Design Partner Program
See the engineering graph on your stack.
We connect your systems and walk you through the graph. 30 minutes.
- Locked pricing through GA and beyond
- Weekly syncs with the founders
- Custom integrations built in days, not quarters
- First implementation live in 4 weeks
or first