Overview
Before you deploy, NOFire AI tells you which services are affected, what the risk level is, and how to deploy safely, based on your actual infrastructure and live service dependencies. Powered by: NOFire AI Edge builds the production map of your infrastructure. NOFire AI reads that map to assess the impact and the risk of a deployment, from live service dependencies and past incidents.What you get
Know What is Affected
See which production services your code changes touch. See the blast radius before you merge.
Risk Score
Clear risk assessment: Low, Medium, or High. Know if you can deploy now or need extra precautions.
Right Deployment Strategy
Specific guidance: standard deploy, canary rollout, or staged deployment with team present.
See Potential Cascade
One service change or cascade to critical business functions? See the downstream impact before it reaches production.
Historical Context
Warnings if a service had recent incidents or rollbacks. Do not repeat last week’s mistakes.
IDE Integration
Check risk while coding in Cursor or Claude Desktop. No context switching required.
How to use it
In Your IDE
Check risk while coding in Cursor or Claude Desktop. Ask: “What is the deployment risk?”
In Slack
Ask
@NOFire AI about deployment risk and get team-wide visibility during reviews.In Chat Dashboard
Review risks and dependencies at my.nofire.ai before deploying.
Deployment risk assessment in the Chat dashboard, checking risk before a Tuesday deploy of the checkout service.
Best practices
- Automate Risk Checks
- Make It Routine
- Team Practices
Add NOFire AI to your See complete MCP integration guide →
AGENTS.md so AI coding agents automatically check risk:Production readiness reviews
Before a major launch or migration, ask NOFire to create a production readiness review. It pulls deployment risk, service dependencies, recent incidents, and current health into a structured ticket, so that your team has a single artifact to review.Getting started
1
Install NOFire AI Edge
Deploy the Kubernetes agent that builds your production map. Deployment risk assessment needs it.Install NOFire AI Edge →
2
Connect Your IDE
Set up MCP integration to query NOFire AI from Cursor, Claude Desktop, or other MCP-compatible tools.Set up MCP integration →
3
Try Your First Risk Check
Make a code change, then ask: “What is the deployment risk for these changes?”Review the risk score, affected services, and deployment strategy recommendation.
MCP Integration
Set up IDE integration to check deployment risk while you code
API tokens for MCP
Generate and manage MCP API tokens
NOFire AI Edge
Learn how NOFire maps your service dependencies
Security and AI policy
Understand our security model
Good to know
Initial Learning Period
Initial Learning Period
NOFire AI learns your environment immediately after NOFire AI Edge connects. Risk assessments get more accurate as it observes deployment patterns and service interactions.
New Services
New Services
Brand new services get conservative risk assessments based on their architecture and dependencies. Accuracy improves after observing a few deployments.
What It Does not Cover
What It Does not Cover
NOFire AI reads your monitored infrastructure and the production map. It does not cover external service failures, third-party API issues, or manual operational mistakes outside your cluster.
Gets Better Over Time
Gets Better Over Time
The production map and the risk models keep learning. The more you use NOFire AI, the more accurate the risk assessment becomes for your environment.