How to Monitor Code Quality & Technical Debt with Power BI

As a business owner with an application supporting your operations, what are the key things you generally care about?

Your business comes first — you oversee the team managing everything, and then there’s the application.

Or maybe not, since you have a team handling it — right?

But is it really okay to ignore the very application that serves as the foundation of your business?

Have you ever considered technical debt or application performance because if left unchecked, these factors can increase overall costs and make you pay more in the long run.

Well, then, there’s something you need to know…

Code quality and technical debt are two of the most pressing concerns for software development teams and business right now that often get overlooked.

While developers aim to write clean, maintainable code, business priorities and tight deadlines often result in shortcuts that lead to technical debt — the eventual cost of reworking suboptimal code.

Traditionally, monitoring code quality has involved relying on code review processes, static analysis tools, and unit test reports.

However, these insights are often fragmented across different tools, making it difficult to get a comprehensive, real-time view of a project’s health.

This is where Power BI comes in!

By integrating Power BI with SonarQube, GitHub, Azure DevOps, and JIRA, developers and engineering managers can build interactive dashboards that offer deep insights into code quality trends, technical debt accumulation, and areas needing immediate attention.

To understand more about how Power BI benefits businesses, check out this insightful article: Power BI Benefits for Business.

But first let’s understand what actually code quality and technical debt is?

What is Code Quality & Technical Debt?

Before diving into the Power BI setup, let’s clarify the key concepts we need to know………… so let’s start with,

Code Quality

Good code is maintainable, readable, and reliable — something that doesn’t make you wonder whether the problem lies in the code or elsewhere. You can measure it by tracking specifics like,

1)Bugs & Vulnerabilities — Errors that could break the system or cause security risks.

2) Code is Messy — Poor coding practices that make maintenance harder.

3)Code Duplication — Repetitive code that clutters the project.

4) Complexity — How difficult the code is to understand and modify.

5)Test Coverage — The percentage of code covered by automated tests.

Technical Debt

Technical debt is the extra work needed to fix poor-quality code later. It builds up when teams cut corners — like skipping documentation, tests, or refactoring — to ship faster.

Some Common Signs of Technical Debt -

Lots of unresolved bugs

Increasing code complexity

Low test coverage

Frequent hotfixes for recurring issues

Without proper tracking, technical debt can increase and slow down the development or worse can introduce security risks which eventually increases maintenance costs.

But it’s not like you can do nothing about it………….

The best one can do is monitor — regularly!!!

And the best tool to use for this purpose is Power BI — why?

Let’s get to know that!

Why Choose Power BI for Code Quality Tracking?

There are many business intelligence tools available, so why Power BI?

Power BI connects/integrates with major code quality tools like SonarQube, GitHub, Azure DevOps, and JIRA, allowing you to pull data from multiple sources effortlessly.

Unlike static reports, Power BI offers simple yet dynamic dashboards that have drill-down capabilities, making it easy to explore trends and identify problem areas.

With DAX and Power Query, Power BI gives you the ability to create custom metrics and calculations, allowing you to tailor formulas to your development team’s needs.

Power BI lets you Automate & set Alerts along with scheduled refreshes to keep stakeholders informed in real-time.

Compared to other analytics platforms, Power BI is affordable and integrates well with Microsoft’s ecosystem.

And for the purpose that you will be using Power BI for — it will definitely ensure that your code quality is on track and is also data-driven, automated, and insightful.

Now to do that you also need to know something…….. and that is how to set it up?

Setting Up Power BI for Code Quality Tracking

To monitor code health, you need to connect Power BI to your code quality tools like SonarQube, GitHub, or Azure DevOps and to do that you need to follow certain steps……

Step 1 — Connect Power BI to Data Sources

Power BI can pull in data using APIs, SQL databases, or direct connectors. Here’s how you can integrate common tools….

1. SonarQube API Integration

SonarQube is a popular tool for code analysis. You can extract data using its Web API by -

Generating an API token for authentication.

Fetch key metrics like code smells, bugs, and test coverage using:

Load the data into Power BI using Power Query.2. Azure DevOps & GitHub Integration

2. Azure DevOps & GitHub Integration

To track commits, pull requests, and code reviews you need to -

Use Azure DevOps REST API

Use GitHub GraphQL API for issue tracking and review status.

3. JIRA Integration for Tracking Technical Debt

JIRA helps manage refactoring tasks, bugs, and backlog issues.

Connecting it to Power BI gives you a real-time view of technical debt accumulation.

Step 2 — Analyzing Data in Power BI

Once you’ve imported your data, the next step is cleaning and transforming it into useful metrics.

Using DAX formulas, you can calculate -

Technical Debt Ratio

Code Quality Score

Test Coverage Percentage

These insights will help you spot issues before they spiral out of control.

Once you’ve imported your data, the next step is cleaning and transforming it into useful metrics.

Using DAX formulas, you can calculate -

• Technical Debt Ratio
• Code Quality Score
• Test Coverage Percentage

These insights will help you spot issues before they spiral out of control.

Step 3 — Creating a Technical Debt Dashboard

To monitor technical debt effectively, build a Power BI dashboard with key indicators. With that you can track

Some Key things to track -

1)Total Technical Debt — Estimated hours or cost required to fix bad code.

2) Debt-to-Code Ratio — How much of your codebase is impacted by technical debt.

3) Unresolved Bugs & Vulnerabilities — Active issues that need fixing.

4) Refactoring Backlog — Open tasks in JIRA or Azure DevOps.

5) Hotfix Frequency — How often urgent fixes are needed (a sign of poor-quality code).

Best Power BI Visuals to Use -

1)Line charts — Track technical debt overtime.

2. Bar charts — Compare debt levels across repositories.

3)Heatmaps — Identify high-debt components.

4. Pie charts — Show the breakdown of technical debt (e.g., bugs vs. refactoring needs).

Linking Power BI to JIRA and SonarQube gives you real-time insights to catch problems early.

Step 4 — Automating Reports & Alerts

To make monitoring easier, set up automated updates and alerts -

Schedule Data Refreshes — Keep reports up-to-date.

Set Threshold Alerts — Get notifications when technical debt exceeds safe levels.

Send Weekly Reports — Keep stakeholders informed.

Now, How to Set Up Alerts in Power BI?

Open your Power BI dashboard.

Select the metric you want to monitor (e.g., technical debt ratio).

Click Manage Alerts and set thresholds.

Choose how to receive alerts (email, Microsoft Teams, or Slack).

To Conclude……

Think of technical debt as a ticking bomb — you can’t just ignore it and hope for the best. If left unchecked, it will slow down development, introduce security risks, and make future changes more difficult.

Monitoring code quality is just the first step in keeping your application’s foundation strong. But to truly stay ahead, you need to take it further.

Do you Want to Go Further?

If you’re serious about monitoring technical debt in real-time, consider setting up custom API integrations and automated alerts.

And remember — the sooner you start tracking, the easier it is to keep your codebase clean and maintainable!

By taking a proactive approach to technical debt, you’ll ensure your team delivers high-quality software — without nasty surprises down the road.