Technical debt scorecard: how healthy is your codebase?
Answer 10 yes/no questions to get a technical debt risk score with prioritized recommendations - in under 60 seconds.
Rate your codebase
0 of 10Answer each question honestly for the most accurate assessment.
Do you have automated tests for your critical features?
Unit, integration, or end-to-end tests that run automatically.
Does your team use code reviews or pull requests before merging?
Changes are reviewed by at least one other person before going live.
Do you use automated deployment (CI/CD) to release changes?
Code is built, tested, and deployed automatically - not manually via FTP or SSH.
Do you have error monitoring or alerting in production?
Tools like Sentry, LogRocket, or Datadog notify you when something breaks.
Have your dependencies been updated in the last 6 months?
Frameworks, libraries, and packages are reasonably current.
Has your app had a security review or vulnerability scan in the last year?
Automated scanning (npm audit, OWASP ZAP) or a professional assessment.
Could your application handle 5× its current traffic without a major rewrite?
Your system can scale up without fundamental architecture changes.
Do you monitor page load times or API response times in production?
Performance dashboards or alerts for slow responses.
Is there documentation for how to set up, run, and deploy the project?
A new developer could get the project running from the README alone.
Could your project continue if any single team member left tomorrow?
Critical knowledge is shared - not trapped in one person's head.
How the scorecard works
This scorecard evaluates your codebase across five dimensions that matter most for long-term project health: code quality and testing, DevOps and deployment, security and dependencies, architecture and scalability, and maintainability.
Each question is weighted by real-world impact. Testing and security carry the highest weight (3 points each) because gaps in those areas lead to the most expensive problems. Your health score is the percentage of total points you earn - 100 means every best practice is in place.
The recommendations are prioritized by severity, so you can focus on the highest-impact improvements first.
The five dimensions of technical debt
Code Quality & Testing
Automated tests and code reviews are your safety net. Without them, every change risks breaking something - and you won't know until a user reports it.
DevOps & Deployment
CI/CD pipelines and error monitoring mean faster, safer releases. Manual deployments and missing alerts are two of the most common sources of preventable outages.
Security & Dependencies
Outdated dependencies and missing security reviews are ticking time bombs. A single vulnerability can expose user data and destroy trust overnight.
Architecture & Scalability
Can your system handle growth? Performance monitoring and scalable architecture decisions today prevent expensive rewrites when traffic increases.
Maintainability
Documentation and knowledge sharing reduce your "bus factor" - the risk that losing one team member could halt the project. These are low-effort, high-impact improvements.
Understanding your score
| Grade | Score | Risk level | What it means |
|---|---|---|---|
| A | 90–100 | Low | Well-managed codebase with strong engineering practices |
| B | 75–89 | Moderate | Mostly solid - a few areas need attention before they compound |
| C | 50–74 | Elevated | Technical debt is slowing the team - address top issues soon |
| D | 25–49 | High | Significant issues impacting velocity, reliability, and security |
| F | 0–24 | Critical | Urgent intervention needed to avoid costly failures or rewrites |
Why technical debt matters more in 2026
AI coding assistants are accelerating development speed - but they are also accelerating technical debt accumulation. When teams generate code faster than they can review it, shortcuts compound. Leading organizations now allocate 10–30% of their IT budget to proactive debt remediation (Developers.dev, 2026).
The tradeoff between technical debt and feature velocity is real: every shortcut you take today slows you down tomorrow. The teams that ship fastest over 12 months are not the ones that skip tests - they are the ones that invest in maintainability early and avoid the exponential slowdown that unchecked debt creates. Martin Fowler's Technical Debt Quadrant remains the best framework for classifying the debt you're taking on.
For common patterns that create technical debt in early-stage products, read our guide to common MVP development mistakes. For a broader view of SaaS architecture decisions that prevent debt, see our SaaS development guide. For automated debt detection in your CI pipeline, see SonarQube's documentation.
Frequently asked questions
- What is a technical debt scorecard?
- A quick assessment tool that evaluates your codebase across key dimensions - testing, DevOps, security, architecture, and maintainability - to produce a health score and prioritized recommendations. It helps founders and CTOs understand hidden risks in their software.
- How is the score calculated?
- Each of the 10 questions is weighted by its real-world impact. Testing and security carry the highest weight (3 points each) because gaps there lead to the most expensive problems. Your score is the percentage of total possible points you earn.
- What's a good technical debt score?
- A score of 75+ (Grade B or A) means your codebase follows most engineering best practices. Between 50–74 (Grade C), debt is accumulating and should be addressed. Below 50 signals high risk - development will slow and bugs will increase.
- Can technical debt be completely eliminated?
- Some technical debt is deliberate and acceptable - for example, taking shortcuts to ship an MVP faster. The goal isn't zero debt, but managing it intentionally. Regular assessments (quarterly is a good cadence) help you stay ahead of it.
- How often should I assess technical debt?
- We recommend quarterly, or before major milestones like fundraising, scaling, or onboarding new developers. Technical debt compounds over time - catching it early is dramatically cheaper than fixing it after a failure.
Why technical debt matters more in 2026
AI coding assistants are accelerating technical debt accumulation. Teams ship faster but accumulate shortcuts faster too. Leading organizations allocate 10–30% of their IT budget to proactive debt remediation. If you're spending less than 10%, debt is compounding silently.
How to use your scorecard results
Score 80–100: Your codebase is healthy. Maintain with regular refactoring sprints (10% of engineering time).
Score 60–79: Moderate debt. Allocate 15–20% of sprint capacity to debt reduction. Focus on the highest-risk areas first.
Score 40–59: Significant debt. You're likely experiencing slower feature delivery and more bugs. Dedicate 25–30% of capacity to remediation.
Score below 40: Critical debt. Feature velocity is severely impacted. Consider a focused remediation sprint before adding new features.
The 10–30% rule
How much engineering budget should go to debt reduction?
| Company stage | Recommended allocation | Why |
|---|---|---|
| Early startup (< 10 engineers) | 10% | Ship fast, accept some debt, fix later |
| Growth stage (10–50 engineers) | 15–20% | Debt starts slowing new hires' productivity |
| Scale stage (50+ engineers) | 20–30% | Debt compounds - each new feature costs more |
Technical debt vs feature velocity
The relationship isn't linear. A codebase with moderate debt (score 60–79) might only slow you down 10–15%. But once debt crosses a threshold (score below 40), every new feature takes 2–3x longer because engineers spend more time understanding and working around existing problems than writing new code.
This is why the scorecard matters: it tells you whether you're in the "manageable" zone or the "compounding" zone.
See our guide on Common MVP Development Mistakes for how to avoid accumulating debt in the first place. For refactoring help, explore Cursor for Refactoring or Kiro for Codebase Cleanup.
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