Incident prevention
Stop the incident before it ships.
NOFire AI knows what is running and what is fragile, and checks every change against it. Risky changes are flagged on the pull request, before they reach production.
Know what's fragile
See the weak spots before a change finds them.
Every service is scored from what is actually running, so you know where a change could hurt before it ships.
- The gaps, first. Services with no owner, no alerts, no metrics or no SLOs are flagged at the top, so you fix the riskiest ones first.
- No data is not the same as no problems. An unmonitored database or an untagged resource shows up as a gap, not as a blank that looks healthy.
- Observed or inferred, always marked. Each line says how it is known and when it was last checked, so you know what to trust.
What a change touches
One change, and everything it touches.
Related pull requests and deploys become one change, reviewed as a whole and traced to every service it reaches.
- Grouped by fact, not by title. Review one piece of work instead of eighteen separate diffs. Pull requests that share a ticket are grouped with certainty. Without a ticket, NOFire AI groups them by shared files and branches, and shows you why.
- Real traffic, not a diagram. Reach follows the paths that carry observed traffic in production. Dependencies that are only declared are shown too, marked as weaker evidence.
- Half-merged work, caught. When part of a change has landed and part has not, the risk between the two is called out.
Flagged on the PR
Fix the gap before the change ships.
When a change reaches a service with no alerts or no owner, the pull request says so, for people and coding agents alike.
Honest checks
A check that can't run says so.
Owner, alerting and metrics for every service the change touches. When a source is missing, the page names it instead of passing.
Nothing to maintain
No catalog to keep up to date.
The map builds itself from your cluster, cloud and repositories. Nothing to write by hand.
Frequently asked questions.
Does it block merges?
No. It ranks changes by risk and flags them on the pull request. A person still decides what ships.
What does it read?
Your Kubernetes clusters, cloud accounts and Git repositories, read-only.
Do we have to replace our service catalog?
No. Keep your portal. NOFire AI is the live layer underneath it, built from what is actually running.
Is there a risk score out of 100?
No. Changes are ranked against each other, so the riskiest is reviewed first. A percentage would claim a precision the data does not have.
Does a quiet change mean a safe change?
It means no symptom appeared. After a change lands, NOFire AI watches the services it reaches for a while and records what it saw, not a guarantee.
Do coding agents see the same checks?
Yes. Claude, Cursor and other agents read the same assessment over MCP before they open a pull request.