Skip to main content
Back to Blog
BEFOREAFTER
Foundations15 min read

Managing Technical Debt: A Practical Guide

By Fundare Team

Managing Technical Debt: A Practical Guide

Technical debt is like financial debt: sometimes you need it to move fast, but if you ignore it, it compounds and becomes unmanageable.

What is Technical Debt?

Technical debt is the cost of shortcuts, quick fixes, and deferred refactoring. It's not inherently bad—it's a tool. The problem is when it accumulates without a plan to pay it down.

Types of Technical Debt

1. Intentional Debt

You make a conscious decision to ship quickly:

  • Example: Using a simple database schema knowing you'll need to refactor later
  • Good: When you're validating an idea and need speed
  • Bad: When you're past validation and still accumulating debt
  • 2. Unintentional Debt

    You didn't realize you were creating debt:

  • Example: Copy-pasting code that becomes hard to maintain
  • Problem: This compounds quickly and is harder to track
  • 3. Strategic Debt

    You're aware of better approaches but choose not to implement them yet:

  • Example: Using a library you know you'll replace
  • Good: When you have a clear migration plan
  • Bad: When "later" never comes
  • Identifying Technical Debt

    Code Smells

  • Duplication: Same logic in multiple places
  • Complexity: Functions that do too much
  • Tight coupling: Changes in one place break others
  • Dead code: Unused code that adds confusion
  • Infrastructure Debt

  • Outdated dependencies: Security vulnerabilities, missing features
  • Manual processes: Deployments, database migrations
  • Poor monitoring: Can't diagnose issues quickly
  • No documentation: Team can't understand the system
  • Architecture Debt

  • No clear boundaries: Everything is connected to everything
  • Performance bottlenecks: Known issues that will get worse
  • Scalability limits: System won't handle growth
  • Measuring Technical Debt

    You can't manage what you don't measure. Track:

  • Code metrics: Cyclomatic complexity, duplication percentage
  • Dependency age: How outdated are your dependencies?
  • Build times: Slow builds indicate complexity
  • Bug rates: High bug rates often indicate debt
  • Developer velocity: Is it getting harder to ship features?
  • Prioritizing Technical Debt

    Not all debt is equal. Use this framework:

    Impact × Urgency Matrix

    **High Impact, High Urgency**: Fix immediately

  • Security vulnerabilities
  • Performance issues affecting users
  • Blocking new features
  • **High Impact, Low Urgency**: Plan for next sprint

  • Architecture improvements
  • Major refactoring
  • Infrastructure upgrades
  • **Low Impact, High Urgency**: Quick wins

  • Code cleanup
  • Documentation
  • Minor refactoring
  • **Low Impact, Low Urgency**: Backlog

  • Nice-to-have improvements
  • Future optimizations
  • Paying Down Debt

    The 20% Rule

    Allocate 20% of your engineering time to paying down debt. This prevents it from accumulating while still allowing feature development.

    The Boy Scout Rule

    "Leave the codebase better than you found it." When you touch code, improve it slightly:

  • Extract a function
  • Add a comment
  • Remove duplication
  • Improve naming
  • Debt Sprints

    Dedicate entire sprints to paying down debt:

  • When: Every 4–6 sprints
  • What: Tackle high-impact, low-urgency debt
  • Benefit: Prevents accumulation, improves morale
  • Refactoring as Part of Features

    When adding features, refactor the code you're touching:

  • Benefit: Debt gets paid down incrementally
  • Risk: Feature takes longer
  • Mitigation: Estimate refactoring time separately
  • Preventing New Debt

    Code Reviews

    Use code reviews to catch debt early:

  • Check for: Duplication, complexity, unclear code
  • Standard: "Would a new team member understand this?"
  • Architecture Reviews

    Regularly review architecture decisions:

  • When: Quarterly or when adding major features
  • Questions: Is this still the right approach? What would we do differently?
  • Documentation

    Document decisions and rationale:

  • Why: Future you will thank present you
  • What: Architecture decisions, complex logic, trade-offs
  • When to Ignore Debt

    Sometimes, debt is fine:

  • Prototype/MVP: You're validating an idea
  • One-off scripts: Not worth perfecting
  • Legacy code you're replacing: Don't polish what you're throwing away
  • The key is being intentional about it.

    Tools and Practices

    Static Analysis

    Use tools to identify debt:

  • ESLint/TSLint: Catch code quality issues
  • SonarQube: Comprehensive code analysis
  • CodeClimate: Track technical debt metrics
  • Automated Testing

    Tests help you refactor safely:

  • Unit tests: Verify behavior doesn't change
  • Integration tests: Catch integration issues
  • E2E tests: Ensure user flows still work
  • Monitoring

    Know when debt is causing problems:

  • Error rates: Are bugs increasing?
  • Performance: Is the system slowing down?
  • Developer metrics: Are PRs taking longer?
  • Case Study: Refactoring a Legacy Module

    We worked with a team that had a critical module with 10+ years of accumulated debt:

    **The Problem:**

  • 5,000+ lines in a single file
  • No tests
  • Multiple developers afraid to touch it
  • New features taking weeks instead of days
  • **The Approach:**

  • Wrote tests first: Added tests for existing behavior
  • Incremental refactoring: Broke into smaller modules
  • Documentation: Documented the new structure
  • Team training: Taught the team the new patterns
  • **The Result:**

  • Feature development time cut in half
  • Bug rate decreased by 60%
  • Team confidence increased
  • Conclusion

    Technical debt is a tool, not a problem. The key is managing it intentionally:

  • Measure it
  • Prioritize it
  • Pay it down regularly
  • Prevent new debt from accumulating
  • At Fundare, we help teams establish practices to manage technical debt without slowing down feature development. The goal isn't zero debt—it's manageable debt that doesn't block your product's growth.

    Start a project →