1. Who in my engineering team should use Appxiom?

Engineering leaders use GFI and Quality Score to prioritize and judge releases. Developers use agent skills, the MCP server and activity trails to find and fix issues. QA uses activity trails and Issue Distribution Analytics to reproduce bugs and verify fixes.

2. Does Appxiom work with my coding agent?

Skills work with Claude Code, Cursor, GitHub Copilot and Antigravity. The MCP server works with any agent that supports remote MCP over HTTP.

3. Does the agent fix bugs automatically?

The agent reads the issue data, proposes a code change and can apply it in your workspace. You review the change like any other pull request. Appxiom does not open pull requests or tickets on its own today.

4. Which platforms are supported?

Android, iOS, Flutter, Kotlin Multiplatform (Android and iOS targets) and Web.

For engineering teams

One monitoring tool for everyone who ships the app

Leaders decide what to fix first. Developers fix it with their coding agent. QA proves it is fixed. Appxiom gives each of them the same production data, for Android, iOS, Flutter, Kotlin Multiplatform and Web.

For engineering leaders

Know which fixes matter before the sprint starts

Crash counts tell you what fails often. They do not tell you what fails where it hurts. Appxiom ranks issues by the user journeys they break, so planning starts from impact instead of volume.

Issues ranked by business impact

Goal Friction Impact attributes crashes, freezes and API failures to the journeys they interrupt, with completion rate and drop-off point for each.

Read about GFI

One score per release

Quality Score shows how stable a release is and why it changed, so a go or no-go call does not rest on crash-free rate alone.

Read about Quality Score

Regressions and hotfixes, compared

Compare bug occurrences across app versions and confirm whether a hotfix resolved the issue it targeted.

Read about Issue Distribution Analytics

One SDK family covers Android, iOS, Flutter, Kotlin Multiplatform and Web, so every team reads the same picture.

For developers

Hand the bug to your coding agent with the context attached

Set up the SDK with agent skills, then connect the MCP server. Your agent reads ranked production issues with activity trails and telemetry instead of a pasted log, proposes a fix, and you review it like any other pull request.

1
Install skills for your platform
install all skills
```
npx @appxiom/android-skills add all
```
See all agent skills
2
Connect the MCP server
MCP URL
```
https://app.appxiom.com/ax/app/api/mcp
```
Set up the MCP server
3
Ask your agent to find and fix the top issue
Sample prompt
Pull the highest-impact open issue from Appxiom, read its activity trail, and propose a fix.

What the SDK catches

Crashes, plus ANRs on Android and app hangs on iOS, detected without waiting for the OS dialog
Memory leaks surfaced in production at screen and lifecycle level, without a heap dump Object-level heap analysis is available in debug builds.
HTTP failures and slow requests, with the activity trail that led up to them
Coroutine and isolate errors in Kotlin Multiplatform and Flutter background work

Works with Claude Code, Cursor, GitHub Copilot and Antigravity.

For QA

Reproduce it from the trail, not from a ticket description

Every issue carries the sequence of user actions that led to it, plus the device, OS and memory state at that moment. Reproduction steps are already written when the bug reaches you.