Software Engineering

AI-assisted bug fixing and hotfix PRs

Use an AI coding agent (Claude Code) to quickly implement and ship a fix for a customer-reported UI bug, moving from Slack feedback to an engineered change, review, and merge within an hour.

Why the human is still essential here

The human provides customer/product context, decides what needs to change, and performs engineering review to ensure the patch fits the codebase architecture and guardrails; AI accelerates implementation details.

How people use this

Slack-to-PR hotfix drafting

Turn a customer-reported UI issue into a minimal code change with a clear PR description and commit message for human review and fast merge.

Claude Code / GitHub Copilot

Stack trace triage and patch suggestion

Paste error logs and reproduction steps to have the AI pinpoint likely root causes and propose a targeted fix across the relevant files.

Cursor / GitHub Copilot Chat

Add a regression test with the fix

Have the AI implement a Playwright/Cypress test that reproduces the bug and passes once the hotfix is applied to prevent recurrence.

GitHub Copilot / Playwright

Community stories (1)

LinkedIn

Fixing a customer UI bug in under an hour with Claude Code

I’m a software engineer by training, but let’s be honest: my days of memorising specific syntax and wrestling with JavaScript frameworks are mostly behind me.

Last Friday night, a message popped up in our Slack: a customer was struggling with a UI bug. A hover state was being blocked, making a feature frustrating to use.


In the "old" world, I’d have flagged it for the team to handle on Monday. In the Claude Code world, I decided to get my hands dirty.


The result? From customer feedback → Slack → Me making the fix → Engineering review → Merged into Trunk. All within the hour.


Here’s what I’ve realised about leading in the AI era:


Syntax is no longer the gatekeeper. I didn’t need to worry about the specific boilerplate. I focused on the logic.


Context is the new currency. Because I understand our business and our customers, I knew exactly what needed to change. The AI just handled the how.


It’s not "Vibe Coding." My foundational engineering knowledge meant I wasn't just guessing. I could review the output, understand the architecture, and respect the guardrails set by our senior devs.


The future doesn't belong to the people who can memorise the most libraries. It belongs to the leaders who have the curiosity to learn new tools, the context of the customer, and the foundations to know when the code is right.


I’m spending less time on syntax and more time on the business. And honestly? Getting back into the code feels like freedom.


To my fellow CEOs & Leaders: Don’t just "oversee" AI transformation. Use the tools. Make a small PR. You’ll see the future a lot more clearly when you’re building it.

MV
Matthew VarleyTech CEO
Feb 22, 2026