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AI Tool5 credits · €0.50 / run

AI Debugger

Paste a stack trace, connect logs, and get a root-cause analysis with a minimal repro and suggested patch.

Features

What's included

Stack trace parsing
Log correlation
Repro synthesis
Patch suggestions

Overview

A closer look at AI Debugger

Paste a stack trace, connect logs, and get a root-cause analysis with a minimal repro and suggested patch. Under the hood it combines multi-model reasoning with a dedicated context window for your repository, so results reflect the way your team actually writes code — not a generic public dataset.

Every run is executed in an isolated, ephemeral workspace. Source is encrypted in transit and at rest, discarded after the run, and never used to train shared models. Teams in fintech, health and government use AI Debugger in production with SSO, SCIM and full audit logs.

You pay only for the runs you actually execute — 5 credits per run, billed against your team balance. No seats, no minimum commitment, and you can pause any time.

By the numbers

Impact you can measure

3.4x

Faster delivery on tasks using this tool

82%

Of teams keep it in daily workflows after week one

12k+

Engineers actively running it every month

99.9%

Availability across all supported regions

Benefits

Why teams use it

01

Faster incident response

02

Shorter MTTR

03

Deeper understanding

Use cases

Who it's for

For growing teams

Onboard new engineers faster and keep everyone aligned on how ai debugger should work across services.

For scaling products

Handle 10x more workload without adding headcount — AI Debugger takes on the repetitive parts so people focus on architecture.

For regulated industries

Run in an isolated workspace with audit logs, SSO and role-based access — suitable for fintech, health and enterprise IT.

For solo builders

Pay only for what you run. No seats, no commitments — buy credits when you need them and ship weekend projects fast.

How it works

Three simple steps

1

Paste

Drop in your error and optional context.

2

Analyze

Receive a root cause and repro.

3

Fix

Apply the suggested patch or ask for alternatives.

Example output

See it in action

ai-debugger.tsts
TypeError: Cannot read properties of undefined (reading 'id')
  at getSession (auth.ts:42)

# AI Root Cause:
# 'req.user' is undefined when the session cookie is missing.
# Fix: guard the caller or default to an anonymous user.

Comparison

With vs. without AI Debugger

Dimension
Without
With AI Debugger
Setup time
Days of config
Under 2 minutes
Repo context
Copy-paste snippets
Full multi-file awareness
Output quality
Generic boilerplate
Matches your conventions
Team fit
One-off scripts
SSO, roles, audit trail
Pricing
Per-seat licensing
Pay only per run

Integrations

Works with your stack

Plug into the tools you already use. No lock-in, no proprietary formats — the output stays in your repo, your registry and your cloud.

GitHub
GitLab
CLI
Docker
AWS / GCP
VS Code
JetBrains
Bitbucket

What to expect

Your first 90 days

  1. Day 1

    Install & connect

    Add the app to your repo, IDE or CI. Zero manual config.

  2. Week 1

    First results

    Your team runs AI Debugger on real work and starts shipping the output.

  3. Month 1

    Team-wide adoption

    Custom style guides and org rules are live, results are consistent across projects.

  4. Month 3

    Measurable ROI

    Track saved engineering hours in the dashboard and adjust credit budgets by team.

AI Debugger paid for itself in the first sprint. We stopped writing the same boilerplate three times a week and the team was noticeably happier by Friday.”

MK

Marta K.

Staff Engineer, fintech scale-up

FAQ

Frequently asked questions

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