AI coded it, but you own it in production.
Stay in control.
AI ships code faster than teams can validate it. Release confidently, detect issues instantly, and automatically fix problems in production—no redeploys, no fire drills.
At AI speed, control in production is essential.
- Ship and hope: no control once changes hit production.
- Issues are discovered only after users are impacted.
- Rollbacks are slow, manual, and disruptive.
- Every incident depends on someone jumping in to fix it.
- Ship with control: pre-defined guardrails, success metrics, and automated rollouts.
- Change-level issues are detected immediately—before users are impacted.
- Remediation is instant, automated, and non-disruptive.
- Incidents are handled—no one needs to jump in.
Quickstart Guide
CodeControl
- 01Define the change and guardrails.
Create a feature and tie it to key system and business metrics. Define thresholds for performance, errors, or user impact before release.
- 02Release and observe in production.
Roll out changes gradually while the system continuously monitors performance and acts automatically at the first sign of issues.
- 03Contain and correct, automatically.
Pause, revert, or adjust instantly when thresholds are crossed—without redeploying or manual intervention.
What this unlocks in production.
Move faster without breaking production.
Maintain a stable, high-quality user experience.
Spend less time on incidents and on-call.
Drive more business impact from your AI-investments.
We accept software’s never going to be perfect. The most important thing isn’t writing perfect code. It’s knowing we have the control to take action, to quickly roll back or make a change.
Emily Nakashima
SVP of Engineering
