How Code Tuner Works

Clear visibility into your codebase — without needing to read the code


Product managers are responsible for prioritising development work, balancing feature delivery with technical debt, and maintaining predictable velocity.

Yet the technical condition of the codebase is often hidden behind developer tools and complex metrics.

Code Tuner changes that.

It analyses your code automatically and translates technical signals into clear, decision-ready insights.

Step 1

Connect your code repositories

Getting started takes only a few minutes.

Code Tuner connects directly to your existing repositories.

  • GitHub
  • GitLab

Once connected, the platform automatically reads and analyses the structure of your code.

No configuration is required, and no changes to your development workflow are needed.

Step 2

Analyse the structure of your codebase

Code Tuner examines your codebase to identify patterns associated with complexity and emerging technical debt.

The analysis includes:

  • structural complexity across modules
  • relationships between components
  • areas with high change frequency
  • architectural patterns that increase maintenance difficulty

This produces a clear map of where complexity is concentrated.

Step 3

Identify complexity hotspots and emerging risks

The platform highlights parts of the system where technical debt may be forming.

These signals include:

  • sudden increases in complexity
  • modules becoming tightly coupled
  • repositories with frequent structural change
  • deviations from recognised architectural patterns

These areas often represent the parts of the system most likely to slow development.

Step 4

Track how complexity evolves over time

Understanding the current state of a codebase is useful.

Understanding how it is evolving is far more valuable.

Code Tuner tracks complexity trends over time, helping product managers see:

  • whether technical debt is increasing
  • which areas are stabilising
  • where architectural risk is emerging

This turns technical debt from a reactive issue into a manageable one.

Step 5

Benchmark your codebase against industry standards

Metrics only become meaningful when compared with a benchmark.

Code Tuner compares your codebase against widely used engineering frameworks and architectural standards.

This helps product managers understand:

  • whether complexity levels are typical or unusually high
  • where improvement could deliver the greatest impact
  • whether technical debt is becoming a strategic risk
Step 6

Turn insights into actionable work

Once complexity hotspots are identified, Code Tuner helps teams take action.

Product managers can generate development tasks directly from the platform and send them to tools such as:

  • Jira
  • GitHub Issues

Each issue includes context explaining why the task matters and where complexity has been detected.

This ensures technical improvements fit naturally into existing sprint planning.

What this means for product teams

Code Tuner gives product managers something they rarely have today:
Clear, evidence-based insight into the technical condition of their product.
That enables them to:

prioritise development work more effectively

justify technical decisions to leadership

maintain predictable delivery velocity

reduce long-term technical risk

Instead of reacting to technical debt, teams can manage it strategically.

Built by experts in software engineering and product delivery

Code Tuner is built by experienced software engineering leaders and product specialists with decades of academic and commercial expertise. Our approach is grounded in research, validated frameworks, and real‑world product management challenges.

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