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Case Study · AI Mastery

Facing 43 bugs to log by hand, they built an app that files them in minutes

A product owner turned 2.5 hours of manual bug entry into an app that auto-creates findings in Azure DevOps.

This is a story about looking at a tedious afternoon of work and deciding to build a way out of it. Faced with 43 findings to log by hand, they built a Lovable app that creates the bugs for them. It shows how a practical problem at work can become a working tool.

Steve Finegan
Responsible for a software product, turning findings reports into bugs for their team.

Lovable bug auto-creation app for Azure DevOps

Before

They were responsible for a product whose findings reports had to be turned into bugs, one at a time. After one review, they had 43 findings to create. Doing it manually would have taken at least 2.5 hours.

“I realized that it would take me at least 2.5 hours to manually create these bugs.”

In their own words

The turning point

Instead of starting the long manual job, they decided to build an app to do it. They talked it through with the Enterprise version of ChatGPT to work out how to format the data for the Azure Command Line Interface. Then they created an Azure DevOps token and had Lovable store it securely.

“I decided to instead create a Lovable app that would instead auto-create these bugs for me.”

In their own words

After

They now have a Lovable app that auto-creates bugs from findings. What used to be hours of copying became a quick, repeatable step. They recorded a demo video to walk others through how it works.

What it lets people do

The app lets their team create bugs much more quickly from a findings report. Instead of entering each finding by hand, the team can send them through in one go.

What they learned

A repetitive task is often a signal to build something rather than push through it. Pairing an AI conversation to plan the data format with a no-code builder was enough to get a working tool connected to their team's real systems.

“This has enabled our team to create bugs much more quickly.”

In their own words

Lovable bug auto-creation app for Azure DevOps was built during AI Mastery.

Read the full submission
We needed a faster way to create bugs for one of the products I am responsible for. For example, after reviewing one of the findings reports, I needed to create 43 findings. I realized that it would take me at least 2.5 hours to manually create these bugs. I decided to instead create a Lovable app that would instead auto-create these bugs for me. I started with a conversation with the Enterprise version of ChatGPT to figure out how I needed to format the data I wanted to send via the Azure Command Line Interface (CLI) and then created an Azure DevOps token that I fed to Lovable and had it store the token securely. I will explain more in this demo video: https://www.loom.com/share/200ec9d8486c4f00b27c6c989ee5ff7e This has enabled our team to create bugs much more quickly.

Written 15 February 2026 Submitted by the storyteller

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