Use Case #1: Autonomous Bug Fixing from Slack

Last week I typed one prompt and walked away. When I came back, three bugs were fixed, deployed, and verified.

TL;DR: One prompt triggered a 43-minute autonomous session where Claude read Slack bug reports, traced issues through my codebase, implemented fixes, deployed to production, and verified everything worked in a browser—all without human intervention.

The Setup

My client Sara was reporting bugs in a Slack channel. The usual stuff—formatting issues, missing columns, weird behavior. I was tired of the context-switching: check Slack, switch to VS Code, trace the bug, fix it, deploy, wait, test, repeat.

So I tried something different.

The Prompt

I asked Claude to use its Chrome extension to review the comments about things I needed to fix in the Perdia channel of the Emerald Beacon Slack workspace, analyze the current state of the perdiav5 app on the v5 branch, think through why these errors were happening, come up with a plan to fix them, make the fixes, commit and push all updates to branch v5, then once deployed on the production URL—use the Chrome extension to test each bug that was fixed and repeat the whole process if necessary until all is working correctly.

One prompt. That's it.

What Claude Actually Did

Phase 1: Slack Review — Claude opened Chrome, navigated to Slack, and scrolled through the channel. It captured screenshots and extracted three distinct bug reports: AI revisions inserting random school logos, formatting getting stripped, and a database error about a missing column.

Phase 2: Codebase Analysis — Without me asking, Claude read the migration files, traced the revision flow through articleRevisionService.js, found the reinsertMediaElements() function that was aggressively adding images, and discovered the prompt wasn't preserving HTML formatting.

Phase 3: The Fixes — For the unwanted images bug, Claude added a preserveMedia flag to revision strategies. For formatting loss, it enhanced the AI revision prompt with explicit HTML preservation rules. For the missing column, it created a migration.

Phase 4: Deploy and Verify — Claude committed the changes, pushed to v5, waited for Netlify to deploy, then used the browser extension to verify each fix worked on the live site. When one fix didn't quite work, it identified the issue, made another change, and re-tested.

The Surprising Part

The session ran for 43 minutes. It hit context limits twice and automatically continued from summaries. At no point did I intervene.

The thing that got me: Claude decided on its own to add a preserveMedia flag. I didn't suggest that pattern. It analyzed the code, understood the problem, and designed a solution that fit the existing architecture.

The Results

Key Takeaways

• Closed-loop is everything — The magic wasn't in any single step. It was that Claude kept going until the job was done.
• Browser testing is underrated — Without visual verification, I'd have shipped broken code confidently.
• Context summaries work — The session survived two compactions and still maintained coherent understanding of the bugs.

Try It Yourself

Copy this prompt into Claude Code to set up your own autonomous bug-fixing loop:

I'll help you set up an autonomous bug-fixing workflow. Let me ask a few questions first:

**Configuration:**
1. Where are bugs reported? (Slack channel / GitHub Issues / Linear / Other)
2. What's your project repo path?
3. What branch should I fix bugs on?
4. How do you deploy? (Auto-deploy on push / Manual / Netlify / Vercel)
5. Is there a staging URL I can verify fixes on?

Once you answer, I will:
- Connect to your bug source
- Read and prioritize reported issues
- Trace each bug through your codebase
- Implement fixes with proper tests
- Commit, push, and wait for deploy
- Verify each fix works on the live URL
- Repeat until all bugs are resolved

Ready? Answer the questions above, or say "use defaults" and I'll detect your setup.

Key ingredients for success:

1. Claude-in-Chrome MCP for browser automation
2. Clear success criteria ("repeat until all is working")
3. Willingness to let go — don't interrupt the loop

This happened on January 14, 2026. Session ID: f906a245 if you want receipts.