AI that diagnoses your CI/CD pipeline failures so you don't have to.
Join the waitlist for early access. Limited beta spots available.
We've all been there. A 2AM page, a broken pipeline, and absolute silence in the logs.
Scrubbing through thousands of lines of raw text to find the one error that actually matters.
Jumping between 10+ dashboards just to correlate a timestamp. Context switching kills your flow.
Senior engineers pulled off roadmap work to debug infrastructure ghosts. Again.
AetherCI eliminates the guesswork with instant AI-powered root cause analysis
AI analyzes your entire stack—logs, code changes, dependencies, infrastructure—to pinpoint root causes in seconds, not hours.
GitHub, AWS, Kubernetes, Netlify—see everything in one place instead of juggling a dozen browser tabs.
AI-powered suggestions level up your entire team, so everyone can debug like your most experienced engineer.
No need to rip and replace. AetherCI integrates seamlessly with GitHub Actions, AWS, Kubernetes, and more.
Add AetherCI to your CI/CD pipeline with a single webhook. That's it.
Link your GitHub, GitLab, or AWS account securely with one click.
Paste the secure endpoint into your CI/CD provider settings.
We instantly start diagnosing every failure event. No config files required.
See exactly what broke, why it broke, and how to fix it—all in one view
Pinpoints the exact line of code, config change, or dependency issue that caused the failure
Know how certain the AI is about each diagnosis—no more guessing games
Get code-level suggestions you can copy-paste or auto-create as PRs
Learns from past failures to catch recurring issues before they become critical
From failure to fix in four simple steps
AetherCI listens for webhook events from your tools.
AetherCI gathers logs, events, and config states to understand the full picture.
AetherCI uses AI to identify the issue, and suggests a fix.
Approve the auto-generated PR to fix the build instantly, or replicate the fix based on the instructions.
Join the beta program and get instant AI-powered failure analysis. Limited spots available for early adopters.