AI-Powered GitHub Actions Failure Analysis

Your CI failed.Here's exactly why.

FailBrief is a CI/CD debugging tool that analyzes your GitHub Actions failures and posts a clear AI-generated breakdown — impact, root cause, and a suggested fix — directly on your pull request in seconds.

Free plan available  ·  No credit card required  ·  We never store your logs

#1 Product of the Week - Week 23, 2026
Freeto get started
2 minto install & run
repositories supported
MCPserver built in
How It Works

You never go looking.
The answer is already on the PR.

Install once. Every failed workflow across every repository is analyzed automatically — webhook-driven, no polling, no per-repo configuration, nothing to run.

Step 01

Workflow fails on your PR

GitHub triggers a webhook the moment a CI run fails. FailBrief receives it instantly via your GitHub App installation — no polling, no setup per repo.

Step 02

AI analyzes the failure

FailBrief fetches the workflow logs, extracts the relevant failure context, and runs it through AI to classify the error type, severity, and root cause.

Step 03

Breakdown posted on your PR

A clean, structured comment appears on your pull request within seconds — with the failure type, severity, impact, root cause, and a suggested fix.

Live Example

What your team
sees on every failure.

No more digging through 800 lines of CI logs. FailBrief posts an AI-powered failure analysis directly on your GitHub PR — so your team knows what broke, the severity, and exactly how to fix it.

Test FailureHigh SeverityFix Suggested
FailBrief bot
failbriefbot2 minutes ago
FailBrief Analysis — CI / node.js.yml
TypeTest Failure
Severity🔴 High
Failed Jobrun-tests (ubuntu-latest)
Impact
3 tests failed in auth.service.spec.ts. Blocks this PR from merging until the token validation path is fixed.
Root Cause
JWT validation threw an unexpected null reference on the token expiry edge case — expired tokens are reaching .verify() without a guard.
Suggested Fix
Add a null check before calling .verify() in AuthService.validateToken(). Ensure token is not null or undefined before passing to jwt.verify().
📎 View full logs →
👍 1🚀 2
See it yourself — no install

Don't take our word for it.
Feed it a real failure.

The same analysis, running live. On your repositories it arrives on its own — here, paste a log or pick a sample.

Try a sample:
0 / 20,000

app.failbrief.com
Failures (7d)23↑ 12%
Flaky Tests73 repos
Avg. Fix Time18m
Recent FailuresView all →
api-serviceTest Failureauth.spec.ts4m ago
web-appBuild Errorwebpack.config12m ago
api-serviceTest Failurepayments.spec.tsFlaky1h ago
Dashboard

CI/CD monitoring
beyond the PR comment.

The PR comment tells you what broke. The dashboard gives you full CI/CD visibility — flaky test detection, failure trends, and deep inspection for every workflow run.

Flaky Test Detection

Automatically identifies tests that pass and fail inconsistently across runs. Know which tests are unreliable before they waste your time.

Failure Insights

See patterns across your repos — most common failure types, which workflows break the most, and how your failure rate trends over time.

Deep Failure Inspection

Drill into any failure with the full AI analysis, relevant log lines, and history of similar failures across your organization.

MCP Server

Ask Claude about your CI.

Connect FailBrief to Claude and ask questions in plain English. Not about one log you pasted in — about every run it has analysed.

“Which of my tests are flakiest this month?”

Ranked by how much CI time they waste — across every repo.

“Has this build error happened before?”

Every previous occurrence, and how it got resolved.

“Why did last night’s deploy fail?”

Root cause, suggested fix, impact, and the file it broke in.

“Is our CI getting better or worse?”

Pass rate, failure mix and time-to-fix over any period.

A standard MCP server — works with Claude, Claude Code, Cursor, VS Code and any MCP client. Read-only, so it can never change anything in your repositories.

How to connect it
Pricing

Simple. Honest. Affordable.

No per-seat pricing. No hidden limits. Unlimited repositories on every plan. Start analyzing CI/CD failures for free.

One analysis = one failed workflow run. Not per job, not per comment — a run with three failing jobs is a single analysis.

Free
Free

Get started with basic CI failure analysis

  • Unlimited repositories
  • 25 monthly analyses
  • AI-powered failure classification
  • Severity rating & fix suggestions
  • PR comment analysis
  • Dashboard access
  • Low priority queue
Get Started Free
Starter
$9 / month

For individual developers and growing projects

  • Everything in Free
  • 150 monthly analyses
  • Smarter AI failure classifications
  • Email notifications
  • High priority queue
Get Started

Install the app, then subscribe in the dashboard.

Business
$59 / month

For organizations with advanced needs

  • Everything in Pro
  • 2,000 monthly analyses
  • Best AI failure classifications
  • Team management
  • Critical priority queue
Get Started

Install the app, then subscribe in the dashboard.

FAQ

Frequently asked questions

How does FailBrief analyze CI/CD failures?

FailBrief receives a webhook when a GitHub Actions workflow fails, fetches the logs, extracts the relevant failure context, and uses AI to classify the error type and severity. A structured analysis — impact, root cause, and a fix suggestion — is posted as a comment on your pull request within seconds.

What permissions does FailBrief need?

Read access to Actions and checks so it can fetch workflow logs, read access to repository metadata, and write access to pull requests used solely to post the analysis comment. FailBrief does not read your source code and has no write access to your repository. Logs are never stored.

What counts as one analysis?

One analysis is one failed workflow run — not one failed job, and not one posted comment. A run with three failing jobs inside it is still a single analysis. Count your failing runs per month and that is the plan you need.

Can FailBrief detect flaky tests?

Yes, FailBrief automatically identifies tests that pass and fail inconsistently across runs, helping you find unreliable tests before they waste your team's time.

Can I connect FailBrief to Claude or Cursor?

Yes. FailBrief runs a remote MCP server, so any MCP client — Claude, Claude Code, Cursor, VS Code — can query your CI history in plain English: which tests are flakiest this month, whether an error has happened before, why last night’s deploy failed. It authenticates with OAuth, is read-only so it can never change anything in FailBrief or your repositories, and is available on every plan including Free.

Is FailBrief free to use?

FailBrief offers a free plan with 25 monthly analyses, unlimited repositories, dashboard access, and AI-powered failure classification. Paid plans start at $9/month for higher analysis volume, smarter classifications, and integrations.

How do I remove FailBrief?

Uninstall the GitHub App from your repository or organisation settings. Analysis stops immediately, and because logs are never stored there is nothing left behind to delete.

Install it once.
Then forget it's there.

Two minutes to set up. After that, every failed workflow across every repository explains itself on the pull request.

  • Read-only — never reads your source code
  • Logs are never stored
  • Uninstall in one click
  • Free plan, no credit card