We've all been there.
It's 11 PM. You push what you're 90% sure is the final commit. GitHub Actions runs. Red X.
You click into the workflow. 4,000 lines of logs. Somewhere in there is the actual reason your build broke, buried between npm install noise, deprecation warnings, and that one job that always retries twice for no reason.
20 minutes later you find it: a missing env var. Or a flaky test. Or a Node version mismatch in one specific job.
I built FailBrief because I got tired of this loop.
What it does
FailBrief is a GitHub App that watches your Actions workflows. When something fails, it does what you'd do if you had infinite patience:
- Reads the entire log
- Figures out what actually broke (vs. the noise)
- Posts a comment on your PR explaining it in plain English
That comment includes the error type, severity, the specific failing line, and a suggested fix. It shows up where you're already looking.
Here's the rough shape of a comment:
The stuff I didn't expect to build but ended up needing
When I started, I thought this was a one-trick pony — read log, explain log, done. Turns out teams wanted more.
Flaky test detection. You know the test. Passes locally, fails in CI, passes on retry, fails on Tuesdays. FailBrief tracks pass/fail patterns across runs and flags tests that are statistically unreliable, with a flakiness score and likely causes (timing, async, shared state, etc.). Most CI tools ignore flaky tests entirely. They shouldn't.
A dashboard that tracks health score per repo, failure trends over time, MTTR (mean time to resolution), most common error categories. Useful for the "how's our CI actually doing?" question that's surprisingly hard to answer otherwise.
Slack and Discord notifications. Because some teams want failures pinged, not just commented.
Repository health scoring. A single number that tells you "is this repo's CI in good shape or quietly on fire."
Who it's for
If you're a solo dev or on a small-to-medium team (2-50 people) using GitHub Actions, this is built for you. Open source maintainers especially — staring at contributors' failed CI runs and explaining the same five errors over and over is a known form of suffering.
If you're on a 500-person eng org with a dedicated platform team and custom log parsers, you probably have your own thing.
Why I'm not going to oversell this
A few things FailBrief is not:
- It's not magic. It can't fix bugs in your code. It explains failures and suggests fixes — you still write the patch.
- It's not a replacement for good logging. If your tests log nothing, the AI has nothing to work with. Garbage in, garbage out.
- It's not going to catch every flaky test on day one. Flakiness detection needs runs to learn from. Give it a couple weeks.
It is, however, a solid second pair of eyes that never gets tired and never has to dig through 4,000 lines at 11 PM.
How to try it
It's a GitHub App — install it, pick your repos, done. No config files, no workflow changes, no YAML to edit. The free tier gives you 25 analyses/month across unlimited repos, which is enough for most small projects to see if it actually helps.
Right now there's an early-bird code (EARLYBIRDCODE) that gives the first 100 users a free Pro plan for 3 months — 500 analyses, advanced AI, Slack/Discord. It's at failbrief.com if you want to check it out.
If you try it and it misses something obvious, tell me. I'd rather hear "your AI is dumb about Rust build errors" than have you quietly uninstall it. Reply here, DM me, open an issue — all of it works.
Happy to answer questions in the comments. What's the worst CI failure you've ever debugged?