Fixbeast™ Get Fixbeast ↗ ☰
For Java + Spring

Release the Fixbeast.

From production exception to pull request.

Fixbeast investigates real production failures against your code and production context, reproduces the bug with a failing test, writes the fix, runs your checks, and opens a pull request.

Self-hosted · Java + Spring · Human-controlled merges
Fixbeast mascot
Production bugs don’t sleep.Neither does the boring part of fixing them.
✓ Real production context
✓ Failing test before the fix
✓ Your verification command
✓ Pull request, not auto-merge
Start here

Install it. Wire it in. Ship normally.

Fixbeast runs as one self-contained service. Add your Spring application, point its errors at Fixbeast, and keep working the way you already do.

01 / DOWNLOAD

Download Fixbeast

Self-contained builds ship with their own Java runtime for macOS and Linux, Intel and ARM.

# unpack your platform build tar -xzf fixbeast-<version>-macos-aarch64.tar.gz cd fixbeast-<version>-macos-aarch64 ./bin/fixbeast --version
02 / INITIALIZE

Create your Fixbeast home

One command creates the config, database, secrets store and inbox.

fixbeast init Inbox: http://127.0.0.1:7331/inbox Next: cd <repo> && fixbeast installation add
03 / SPRING

Add it to your Spring app

The Spring integration turns tracked exceptions into Fixbeast occurrences.

<dependency> <groupId>dev.fixbeast</groupId> <artifactId>fixbeast-spring</artifactId> <version>...</version> </dependency>
04 / CONNECT

Add your repository

Run this inside the repo. Fixbeast reads the git remote and walks you through the rest.

cd ~/code/my-spring-app fixbeast installation add # then start Fixbeast fixbeast serve
Production exception in. Pull request out.When Fixbeast can safely prove and fix the problem, it does the work and opens the PR. When it can’t, it tells you why.
What happens next

It doesn’t just explain the exception.

Fixbeast works the problem. It starts with the real failure, uses your repository and production context, proves its diagnosis, makes the change and runs your checks.

!
Production failure arrivesRepeated reports are grouped before any expensive work starts.
deterministic
⌕
Fixbeast decides whether it needs investigationKnown error? Same context? No meaningful change? Don’t spend tokens again.
deterministic
✦
Investigate against code + production contextNow the model gets involved — because there is actually something worth reasoning about.
AI
T
Reproduce the bug with a failing testThe diagnosis has to survive contact with the code.
AI + tests
↯
Write the fix and run your checksYour verification command decides whether the change passes.
AI + deterministic
↗
Open a pull requestYour team keeps the merge button.
human control
●
Keep watching after mergeIf the error returns, Fixbeast knows the story isn’t over.
deterministic
Spend tokens on thinking, not noise

AI where it helps. Deterministic checks where it doesn’t.

Fixbeast does not throw every exception at a model.

It screens first. Repeated noise, known failures and unchanged context stay cheap. New information gets intelligence.

“You spend tokens on new information, not on seeing the same exception for the 400th time.”
✓
Group repeated occurrences

One noisy production bug does not become hundreds of model calls.

✓
Re-investigate only on meaningful triggers

Reopen, growth, new context, first non-owner occurrence, or a manual request.

✓
Set explicit daily budgets

Cap investigations, fix attempts and total model spend per installation.

✓
When the budget stops, observation doesn’t

Fixbeast can keep receiving and grouping errors without silently burning through more AI spend.

See the whole story

Know what happened. Know what happens next.

A production error should not disappear into an alert channel. Fixbeast keeps the investigation, evidence, fix and post-merge observation together.

Fixbeast
Service running · last error 12m ago
OMUMU / PRODUCTION ERROR
Lesson page fails when a course has no modules
Observing after merge
!
Error received

Repeated occurrences grouped. Investigation triggered.

✓
Root cause identified

Missing empty-state check confirmed in repository context.

✓
Failing test reproduced the bug

The test fails before the change and passes after it.

✓
Verification passed

Your configured checks completed successfully.

↗
Pull request opened

Small change, reproducing test and explanation ready in GitHub.

●
Watching after merge

If the same failure returns, the investigation reopens.

Handle courses with no modules →PR #482 · 2 files changed
Built for developers. Easy for your company to say yes to.

The technical answers your CTO, security team and finance people will ask for.

The enterprise story is not a separate product. It is the way Fixbeast is designed.

⌂

Your data stays where you put Fixbeast

Run the same Fixbeast build inside your own network. Local SQLite by default; no central SaaS database required.

↗

Your team keeps the merge button

Fixbeast writes the change and opens the pull request. It does not merge behind your back.

$

Your AI account. Your limits.

Each installation uses its own runner credential, with explicit limits on investigations, fix attempts and spend.

←

No inbound route required

Polling sources and polled git hosts let Fixbeast work from inside networks that do not expose inbound services.

One installation. Your system’s context.

Built around your repository.

Connect the code, the errors, the context Fixbeast may read, the verification command it must pass, and the limits it must respect.

RepositoryWhere the fix belongs
Error sourceWhere production failures arrive
Production contextRead-only facts behind the failure
VerificationYour command, your checks
BudgetsLimits on runs and spend
Slack + inboxWhat happened and what needs you
Java + Spring

Make the next production bug less of your day.

Install Fixbeast, connect a Spring application, and let the next real production failure work its way from exception to pull request.

Get Fixbeast ↗Deploy at your companymacOS + Linux · Intel + ARM · self-hosted