# Replit Monitoring Agent: Auto-Fix, Auto-Republish, Pricing and Limits

Replit can now investigate and repair production problems in the background, with a separate experimental control for putting fixes live.

By Paras Madan | 2026-10-23

Replit launched Monitoring Agent on October 22 to investigate production alerts, attempt fixes and, when enabled, publish those fixes automatically. The important distinction is in the controls: alerts, automatic code changes and automatic publishing are separate decisions.

For small teams, that could reduce the gap between discovering a broken app and starting an investigation. It also makes production permissions part of the product setup, rather than something to think about after the agent has changed code.

## What changed from Replit App Monitoring

Replit's [April App Monitoring launch](https://replit.com/blog/app-monitoring) already offered outage emails and agent-assisted investigation using production logs and read-only database access. Users could inspect downtime and ask Agent to identify a cause.

The [new Monitoring Agent release](https://replit.com/blog/replit-monitoring-agent) adds background investigation and repair after an alert. Replit says the agent can inspect production context, validate a proposed fix and report what changed. Automatic publishing is an additional option.

This moves the workflow from “tell me the app is down” toward “investigate and prepare a repair.” Whether that repair should reach users without a review remains a separate question.

## Three settings, three levels of authority

The [Monitoring Agent documentation](https://docs.replit.com/features/publishing/monitoring-agent) separates the controls as follows.

| Setting | What it permits |
| --- | --- |
| Monitoring alerts | Receive notifications without authorizing code changes |
| Auto-fix | Let Agent investigate and attempt a validated fix |
| Auto-republish | Let Agent publish the fix automatically |

Auto-republish is experimental and requires Auto-fix. Configure these settings separately for each published app in Publishing settings. Leaving Auto-republish off keeps review and publication with the user.

Automatic checks currently watch application error logs, HTTP errors and request latency. An alert does not guarantee a repair. An upstream service failure, for example, may need action outside the application's code.

**Auto-fix is not permission to put a change live.** This is a useful boundary for teams that want faster investigation but still need someone to review changes affecting customers.

## Pricing and availability

The launch describes the feature for published Replit apps. It does not provide a separate flat Monitoring Agent price or a complete plan-by-plan eligibility table. The feature documentation warns that runs may incur Agent usage charges, so it should not be described as unlimited free maintenance.

Replit's [AI billing documentation](https://docs.replit.com/billing/ai-billing) explains that paid Agent work uses effort-based pricing. Included credits can also cover other Replit services, so monitoring activity is part of a wider usage budget rather than an isolated subscription allowance.

For an app that repeatedly triggers the same alert, the operational question is not only whether an agent can produce a fix. It is whether repeated investigations consume time and credits without resolving the underlying issue. Track the usage and the recurrence together.

## What to check before enabling automatic publishing

Replit explicitly cautions that changes such as migrations and index operations can be risky. A validated code change and a safe production transition are related, but they are not interchangeable.

Consider an app that accepts customer orders. A patch might stop an HTTP error while altering how an order is stored. The owner still needs a way to verify the business result, not just the return status. That is an illustrative failure mode, not a reported Replit incident.

A review-first configuration offers a practical way to assess the system: observe which alerts it handles, inspect its proposed repairs and compare its validation with the application's own checks. Automatic publishing deserves a narrower decision based on those results.

The more useful measure of an autonomous maintenance agent will be how often it restores the intended behavior without creating another problem. Faster fixes matter when that second condition holds.

I'm Paras. I work at the intersection of AI, engineering and distribution.

I help technical founders explain launches and engineering decisions through content that developers and founders understand, read and share.

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