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title: How a beagle-shaped AI agent ships code to madewithvuejs.com
description: Madewithvuejs.com, a two-person Vue.js project showcase, runs an AI agent named Milly to scout content, build features, and fix production bugs. Milly is a...
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# How a beagle-shaped AI agent ships code to madewithvuejs.com

**[Sentry Engineering](https://daily.dev/sources/sentry)** · 7 min read · 0 upvotes · 0 comments

## Summary

Madewithvuejs.com, a two-person Vue.js project showcase, runs an AI agent named Milly to scout content, build features, and fix production bugs. Milly is a cloud-hosted model in a custom harness that lives on the team's infrastructure, connected to GitHub, Linear, and Discord, and to Sentry via MCP. She writes a failing test before fixing bugs, and pushes to GitHub trigger deployments. She resolves Sentry issues once fixed. After a form rework, Sentry reported a recurring Data too long error, and Milly fixed a mismatch where fields validated up to 2,024 characters but the database column only held 2,000, which had silently dropped 8 submissions. She does not write to production data, touch credentials, or close Linear tickets.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.sentry.io/beagle-ai-agent-workflows>

## Questions this post answers

### How can an AI agent use the Sentry MCP to actually fix production bugs, not just flag them?

An agent can get read-only access to production issues, including traces and logs, through Sentry's MCP integration, then resolve the issue in Sentry once a fix ships. It can also call Sentry's own debugging agent Seer on demand to generate hypotheses for complex issues before writing a fix and test.

_daily.dev surfaces workflow write-ups like this for developers wiring agents into their monitoring stack._

### What safeguards should I put on an autonomous coding agent before letting it deploy to production?

Restrict it from writing to production data, touching credentials or .env files, force-pushing, or changing server config, enforcing some limits through credentials and others through standing instructions. Require a fixed process template (branch, reproduce, failing test, fix, full test suite, merge, verify live) and keep ticket-closing as a human-only step.

_developers scoping agent autonomy can track real-world guardrail patterns like these on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#vuejs](https://daily.dev/tags/vuejs)

[View this post on daily.dev](https://daily.dev/posts/how-a-beagle-shaped-ai-agent-ships-code-to-madewithvuejs-com-mazu5gygl)

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