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
Architecture and scalability audit
We evaluate your system's architecture to determine if it supports the expected growth, identifying bottlenecks, over-coupling, and design decisions that limit evolution.
Learn more →Migration and technological modernization
We plan and accompany the migration of legacy applications to modern stacks with a gradual approach that prioritizes service continuity and reduces the risk of regression.
Learn more →Access and data security
We audit and strengthen your application's access, authentication, authorization, and data protection model to reduce attack surface and meet regulatory requirements.
Learn more →Secure production and deployment
We audit and improve your deployment process so that each release reaches production with confidence: tests, validations, rollback, and observability from the first minute.
Learn more →From MVP or prototype to real product
We evaluate your MVP or functional prototype and design the industrialization plan to turn it into a scalable, safe and maintainable product ready for real production.
Learn more →Auditing AI-powered apps and tools
We review applications and tools built with AI wizards to detect hidden debt, vulnerabilities, unintentional patterns, and scaling limitations before they reach production.
Learn more →CI/CD and Deployment Automation
We design, implement, and optimize continuous integration and continuous deployment pipelines so that your team delivers software with speed, security, and traceability.
Learn more →Technical due diligence for investors
Independent technical evaluation for investors, funds and acquirers who need to know the real state of the software, technical debt and risks before an investment or acquisition operation.
Learn more →
