AI SRE that fixes production errors fast

    Every app breaks in production. ActiveRabbit analyzes errors, logs, performance, and sessions to find root causes and prepare fixes.

    ActiveRabbit Errors dashboard: list view with severity, impact, AI actions, and GitHub PR links

    Used by teams on platforms like:

    Vercel
    Heroku
    GitHub
    Netlify
    Shopify
    Webflow

    How it works

    From production signal to merge-ready pull request

    Production signal

    Signals from anywhere in your stack — one stream

    ERROR checkout-api · TypeError: Cannot read properties of null
    AI analysis

    Root cause, suggested fix, and code in context

    Session is null when completeCheckout runs — guard before dereference.

    + if (session) { … }
    PR on GitHub

    Draft PR with error context and suggested fix

    fix/checkout-null-session
    +12−3Open PR

    Integrate this tonight

    Support for all major frameworks and languages. Setup takes less than 5 minutes.

    JS
    Node
    React
    Ruby
    PHP
    Python
    Go
    Elixir

    Quick Setup

    # Gemfile:
    gem 'activerabbit-ai', '~> 0.6.2'
    # Install:
    $ gem install activerabbit-ai
    1,437,831
    errors processed per month

    What teams say

    Engineers who switched.

    Real feedback from teams using ActiveRabbit in production.

    What used to take hours of debugging now gets fixed automatically. Our team focuses on shipping features, not hunting bugs.

    Sarah Chen
    @sarahchen_dev

    We cut bug resolution time by 80%. The automatic PR creation is a genuine game-changer for our 12-person team.

    Alex Thompson
    @alexthompson

    Integration took 10 minutes. Within an hour we had insights on errors we didn't even know existed. The AI suggestions are accurate.

    David Park
    @davidpark

    We were paying Sentry + a separate log tool and still context-switching all day. One stack, one bill — and the AI actually reads our repo.

    Maya Rivera
    @mayarivera

    The draft PR from an error felt like a demo until we merged the first one. Our on-call rotation is noticeably quieter.

    James Kim
    @jameskimio

    Honest take: we tried it because pricing was sane. We stayed because session replay next to the stack trace saves us reproducing half the tickets.

    Laura Nguyen
    @lauranguyen

    Stop monitoring errors.
    AI SRE starts fixing them. 10× cheaper.

    Up to 10x cheaper than Sentry or Datadog. $29/month for your whole team. Unlimited seats. Unlimited AI.

    No credit card required · Setup in 5 minutes · Cancel anytime