CI FAILURE INTELLIGENCE BUILT FOR ENGINEERING TEAMS

Red builds.
Clear answers.
Back to flow.

Trace the failure to its source.
Understand what broke.
Review a fix you can explain.

3Aflow turns CI noise into a diagnosis grounded in the code that actually ran.

+   Your pipeline. Your evidence. Your call.
MEET YOUR CI
WHERE IT IS.
◉ GitHub Actions◇ GitLab CI⊞ Azure DevOps♧ Jenkins

01 / THE APPROACH

A failed build is a signal.
Follow it all the way.

Logs tell part of the story. 3Aflow connects the failure to the source, so your next move has a reason behind it.

01 ↘

Find the real failure.

De-noise build output, group duplicate errors, and bring the relevant test context into focus.

··· build output
··· repeated stack traces
→ the failure that matters
02 ↘

Check the evidence.

A second pass checks the diagnosis against source at the failing commit. File, line, error, and entity: connected.

✓ File exists✓ Line valid✓ Error anchored✓ Entity checked
03 ↗

Make a considered fix.

Get a focused suggestion with the reasoning attached. Optional draft fix PRs keep review in your team’s hands.

− candidate.distance > best.distance
+ candidate.distance < best.distance

02 / OPEN THE CASE FILE

From “why is it red?”
to “there it is.”

Follow the evidence in three example failures.
Interactive illustration · not a live analysis

● THE FAILURETypeScript / Vitest
src/routing/routeCalculator.test.ts
FAIL selects the route with the lowest distance

Expected: 10
Received: 110

at routeCalculator.test.ts:42:18
Process completed with exit code 1.
COMMIT a7c91e2Failed run ↗
✳ 3AFLOW / DIAGNOSISSource-grounded

The comparison selects the wrong route.

The test expects the lowest administrative distance. The comparison in findBestRoute() keeps the higher value instead.

↳ src/routing/routeCalculator.ts:68
− candidate.adminDistance > best.adminDistance+ candidate.adminDistance < best.adminDistance
✓ File   ✓ Line   ✓ Error   ✓ EntityReview before merge ↗

A grounded suggestion is a starting point for review. Passing evidence checks does not prove that a fix is correct.

03 / FITS YOUR WORLD

Keep your stack.
Keep your standards.

Bring clarity to the workflow you already have, with deployment choices that fit your team.

Talk through your setup ↗
BUILT AROUND YOUR WORKFLOW

GitHub Actions · GitLab CI · Azure DevOps · Jenkins
Slack & Microsoft Teams delivery

↗

Hosted, with less to operate.

Connect your CI workflow and bring the diagnosis back to your pull requests and team channels.

⌘

Your infrastructure. Your model.

Discuss self-hosted deployment, per-tenant model keys, and local inference with Ollama for restricted environments.

⊕

Control stays with your team.

Review suggestions before applying them. Scope an evaluation around your access, identity, and audit requirements.

04 / THE COST OF AN INTERRUPTION

Small failures.
Real engineering time.

Put a number on the time your team spends investigating CI. Adjust the assumptions to match your workflow.

An estimate of investigation cost, not a promise of savings.

$10,000estimated investigation cost / month
100 hours

Failures × minutes ÷ 60 × hourly cost × 20 working days. Excludes CI compute and subscription costs.

05 / A PLAN FOR YOUR FLOW

Start with a real failure.
Grow from there.

Choose the scale that fits your team. We’ll walk through access, deployment, and an evaluation together.

EXPLORE

Free

$0/ month

Get to know the workflow.

  • 50 analyses / month
  • AI root-cause diagnosis
  • Source-grounded suggestions
  • Knowledge cache
Discuss Free ↗
SCALE TOGETHER

Team

$999/ month

Connect teams and workflows.

  • 2,500 analyses / month
  • Multi-team tenants
  • RBAC + SSO (OIDC)
  • Priority support
Discuss Team ↗
YOUR REQUIREMENTS

Enterprise

Let’s talk

A deployment built around you.

  • Custom analysis volume
  • Self-hosted / air-gapped
  • Per-tenant model keys
  • Audit log & dedicated support
Discuss Enterprise ↗

Demo-led onboarding. Confirm plan availability and deployment requirements with our team.

A FEW GOOD QUESTIONS

Clarity starts here.

What does “source-grounded” mean?

3Aflow checks a diagnosis against source at the failing commit: whether the referenced file and line exist, whether the error is present in the log, and whether the named code entity can be verified. These checks make the reasoning easier to inspect; they do not guarantee a correct fix.

Does 3Aflow change our code automatically?

The core workflow delivers a diagnosis and suggested fix for review. The optional auto-fix workflow opens a draft pull request. Your team reviews the change and its CI results before deciding to merge.

Can we use our own models and infrastructure?

Self-hosted deployments and local inference with Ollama are part of the Enterprise discussion. We’ll confirm network boundaries, model configuration, and integration requirements during your evaluation.

Is the example above a live product session?

No. It is an interactive illustration with three prepared examples. Book a walkthrough to evaluate 3Aflow against your own build and test failures.

How do we get started?

Tell us about your CI stack using the form below. We’ll follow up to discuss your needs and arrange a walkthrough. Submitting the form requests a conversation; it does not create an account or subscription.

YOUR NEXT BUILD DESERVES BETTER

Less firefighting.
More forward.

Bring your hardest CI failure.
Let’s follow the evidence together.

hello@3aflow.dev ↗

We’ll use these details to respond to your request. Please don’t include source code, credentials, or sensitive logs.