AI reliability for CI/CD

Your DevOps stack,
ready for AI-speed change.

AI-assisted coding is increasing the volume and velocity of changes hitting CI/CD. AetherCI brings the signals from your stack into one operating view, so teams can triage faster, manage releases, and improve the systems under strain.

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ONE SHARED DEVOPS CONTEXT

The control plane for
your DevOps stack.

AetherCI turns the events around every build, deployment, and release into a shared operating context. Every engineer starts with the same view of what happened across the stack, before AI helps decide what to do next.

01 One timeline across DevOps tools02 Context the entire team can share03 AI assistance grounded in that context

AI Analysis

Confidence95%

Root Cause

⌃

The CI pipeline failed because its ESLint configuration contains an invalid empty array rule. A dependency conflict between the test runner and coverage plugin is generating the remaining failures.

Suggested Fixes

⌃
  1. 1Fix the ESLint configuration in frontend/.eslintrc.cjs by replacing the empty rule array.
  2. 2Align the test runner and coverage package versions, then rerun the workflow.
AetherCI analysis interface
LIVE ANALYSISaetherci / dependency-securityRUN #3417
RECENT RUNS5 events
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Dependency SecurityGitHub · main · 17e52eb
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Dependency SecurityGitHub · main · 17e52eb
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Dependency SecurityGitHub · main · 17e52eb
CONNECTED CONTEXT
GH▲SeSu
GitHub, Netlify, Sentry, Supabase
AI ANALYSIS

Dependency Security

CONFIDENCE95%
●Evidence found across 4 sourcesnpm audit · pip-audit · lockfiles · git diff
01

Root cause

⌃

The workflow failed on known security vulnerabilities in frontend and backend dependencies. The highest-risk findings are python-multipart 0.0.28 and cryptography 46.0.7.

02

Suggested fixes

⌃
  1. Update python-multipart to 0.0.31 in requirements.txt.
  2. Update cryptography to 50.0.0.
  3. Run a targeted npm audit fix for patched frontend packages.
PROPOSED CHANGEfix: remediate dependency vulnerabilities3 files · 21 changes · ready for review
Diagnosis readyEvery recommendation is linked to its evidence.

Fits the tools your delivery team already uses

SHARED CONTEXT, NOT PERSONAL SETUP

AI speeds up code.
CI/CD has to absorb it.

More AI-assisted coding means more changes, more runs, and more delivery context to manage. A local CLI and a collection of MCP servers can make one engineer faster, but each person has to assemble and maintain access to the same systems. AetherCI centralizes the delivery signal from the events your tools already emit, so the whole organization can adapt from one operating view.

RELEASE WITH CONTEXT

One control plane.
Three ways it changes the work.

As AI speeds up change, AetherCI gives the team a shared place to see what is happening, understand why, and decide the next move.

01 / OBSERVE

Bring every delivery signal together.

Builds, deployments, security scans, and operational events arrive in one central app through the webhooks your tools already emit.

Dependency SecurityFailed · GitHub · 17e52eb
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02 / UNDERSTAND

Give every change its release context.

AetherCI connects the events, history, and surrounding systems so the team can understand a failure without reconstructing the story by hand.

workflow eventschange historyintegration contextshared view
03 / ACT

Turn shared context into the next move.

Use AI to triage, investigate, and prepare an issue or fix PR—with the team reviewing what happens next from the same operating view.

requirements.txt+ python-multipart==0.0.31+ cryptography==50.0.0
BUILT FOR THE AGENTIC WORKFLOW

A central app for
team-wide delivery intelligence.

AetherCI receives the delivery signal through platform webhooks, keeps the shared context current, and makes AI help available to the team from one place—not from a collection of individual tool setups.

Explore the documentation ↗
ONE OPERATING CONTEXT
✓
Events collectedAcross connected delivery tools
✓
Context sharedOne team view of the system
●
Actions stay reviewablePeople decide what changes

READY WHEN THE NEXT RUN FAILS

Give every pipeline
a way forward.

Connect your first integration and turn the next failure into a clear, reviewable decision.

Start free ↗