CODE AUDITING

Code audit: quality, technical debt and maintainability

We analyze your codebase line by line to identify technical debt, problematic patterns, and opportunities for improvement with a prioritized and actionable report.

What is Code and quality audit?

A code and quality audit is the starting point for understanding the actual health of an application. At Q2BSTUDIO we evaluate the codebase holistically: cyclomatic complexity, duplication, module cohesion, layer-to-layer coupling, test coverage, style consistency, and adherence to SOLID and clean code principles. It is not a matter of looking for specific errors, but of building a risk map that informs technical investment decisions.

Our process starts with the definition of scope: which repositories, branches, and modules are critical, what languages and frameworks are involved, and what is the business context (frequency of change, team, roadmap). From there we run static analysis with specialized tools – SonarQube, ESLint, PMD, Roslyn analyzers – combined with manual review of architecture and patterns. The machine detects metrics; Human judgment interprets which metrics matter in that particular context.

The primary deliverable is a prioritized report with findings categorized by severity (blocking, high, medium, low), and by estimated correction effort. Each finding includes location, explanation of risk, potential impact, and concrete recommendation with example of refactoring when applicable. We don't issue pages of metrics without context: each piece of data is accompanied by a professional judgment that explains why it matters and what happens if it's not addressed.

The accumulated technical debt generates invisible costs: increasing development times, recurring bugs, slow onboarding of new developers and fragility in the face of changes. An audit makes this debt visible and allows you to plan its reduction gradually, without stoppages. We propose an improvement roadmap compatible with product deliveries: it is not a matter of stopping to refactor, but of integrating improvements into the usual workflow.

We also evaluate the quality of the existing testing: real coverage (not only percentage of lines, but of branches and scenarios), relevance of the tests, speed of execution and maintainability of the suite. A repository with high coverage but weak tests or coupled to implementation detail is just as problematic as one without tests — detecting that difference is a central part of auditing.

The service adapts to the size of the project: from a focused review of a critical module to a complete monorepo audit with dozens of packages. Together with the client, we define the level of depth, the delivery format and the follow-up cadence. If subsequent support is hired, we accompany the implementation of improvements and validate that the findings are resolved according to the plan.

We do not issue certifications or quality seals: we audit, inform and guide. The responsibility for implementing improvements is shared with the development team, and our role is to ensure that technical decisions are made with complete information and professional judgment.

The service is compatible with any development methodology (Scrum, Kanban, SAFe, continuous flow) and integrates seamlessly into the existing delivery schedule. If the team works in two-week sprints, the recommendations are broken down into tasks that fit into a sprint. If the organization needs executive visibility, we prepare a high-level summary geared toward non-technical decision-makers.

FEATURES

Features of Code and quality audit

  • Cyclomatic complexity analysis

    Identification of functions and modules with complexity above the maintainable threshold.

  • Duplication detection

    Localization of blocks of repeated code that hinder maintenance and consistency.

  • Coupling Evaluation

    Mapping dependencies between modules to detect fragility in the face of changes.

  • Pattern Review and SOLID

    Contrast of code against design principles and ecosystem patterns.

  • Test coverage analysis

    Qualitative evaluation of the suite: branches, scenarios and maintainability.

  • Linters Configuration Review

    Verification of rules, plugins, and style consistency in the pipeline.

    • Prioritized report with roadmap

      Executive and technical deliverable with sprint action plan.

    • Transfer session

      Presentation of findings to the development team with live Q&A.

TECHNOLOGIES

  • TypeScript
  • Node.js
  • .NET
  • Git
  • SonarQube

FREQUENTLY ASKED QUESTIONS

Frequently asked questions about Code and quality audit

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