Preparing Your Codebase for 2026: A Technical Debt Audit Guide

I wrote “Preparing Your Codebase for 2026: A Technical Debt Audit Guide” to share practical, production-minded guidance on this topic.

The Audit Framework

1. Dependency Health Check

# Check for outdated packages
dotnet list package --outdated

# Check for vulnerabilities
dotnet list package --vulnerable

# For Node.js
npm audit
npm outdated

Create a dependency report:

import subprocess
import json

def audit_dependencies():
    """Generate dependency health report."""
    report = {
        "outdated": [],
        "vulnerable": [],
        "deprecated": []
    }

    # Run npm audit
    result = subprocess.run(
        ["npm", "audit", "--json"],
        capture_output=True,
        text=True
    )
    audit_data = json.loads(result.stdout)

    for vuln_id, vuln in audit_data.get("vulnerabilities", {}).items():
        report["vulnerable"].append({
            "package": vuln_id,
            "severity": vuln["severity"],
            "recommendation": vuln.get("fixAvailable", "No fix available")
        })

    return report

2. Code Complexity Analysis

# Using radon for Python
radon cc src/ -a -s

# Using SonarQube for comprehensive analysis
sonar-scanner \
  -Dsonar.projectKey=my-project \
  -Dsonar.sources=src \
  -Dsonar.host.url=http://localhost:9000

Flag files exceeding thresholds:

from radon.complexity import cc_visit

def find_complex_functions(source_code: str, threshold: int = 10):
    """Find functions with cyclomatic complexity above threshold."""
    results = cc_visit(source_code)

    complex_functions = [
        {
            "name": r.name,
            "complexity": r.complexity,
            "line": r.lineno
        }
        for r in results
        if r.complexity > threshold
    ]

    return complex_functions

3. Test Coverage Gaps

# Generate coverage report
dotnet test --collect:"XPlat Code Coverage"

# Identify untested code
reportgenerator \
  -reports:coverage.cobertura.xml \
  -targetdir:coveragereport \
  -reporttypes:Html

Prioritize coverage for:

• Business-critical paths
• Recently changed code
• Integration points

4. Documentation Debt

def audit_documentation(repo_path: str) -> dict:
    """Check documentation completeness."""
    issues = []

    # Check for README
    readme_path = os.path.join(repo_path, "README.md")
    if not os.path.exists(readme_path):
        issues.append("Missing README.md")

    # Check for API documentation
    api_docs = glob.glob(f"{repo_path}/**/openapi*.yaml", recursive=True)
    if not api_docs:
        issues.append("Missing OpenAPI specification")

    # Check for architecture docs
    arch_docs = glob.glob(f"{repo_path}/**/ARCHITECTURE.md", recursive=True)
    if not arch_docs:
        issues.append("Missing architecture documentation")

    return {
        "documentation_score": max(0, 100 - len(issues) * 20),
        "issues": issues
    }

5. Performance Bottlenecks

Review APM data for:

• Slow database queries
• High memory usage patterns
• API endpoints with high latency

-- Find slow queries in Azure SQL
SELECT TOP 20
    qs.total_elapsed_time / qs.execution_count AS avg_elapsed_time,
    qs.execution_count,
    SUBSTRING(st.text, (qs.statement_start_offset/2)+1,
        ((CASE qs.statement_end_offset
            WHEN -1 THEN DATALENGTH(st.text)
            ELSE qs.statement_end_offset
        END - qs.statement_start_offset)/2)+1) AS query_text
FROM sys.dm_exec_query_stats qs
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st
ORDER BY avg_elapsed_time DESC;

Prioritization Matrix

Category	Impact	Effort	Priority
Security vulnerabilities	High	Varies	P0
Performance bottlenecks	High	Medium	P1
Outdated frameworks	Medium	High	P1
Test coverage gaps	Medium	Medium	P2
Code complexity	Low	High	P3
Documentation	Low	Low	P3

Create Your 2026 Roadmap

1. Q1: Address all P0 and critical P1 items
2. Q2: Complete remaining P1 items
3. Q3: Work through P2 items
4. Q4: Continuous P3 improvements

Technical debt compounds like financial debt. Regular audits and systematic paydown keep your codebase healthy and your team productive.\n\n## Takeaways\n\nAdd a concise, personal takeaway and recommended next steps here.\n