Code & architecture
Examine the software’s structure, its dependencies and the choices that make changes harder.
Our service
A technical audit is a diagnosis of your existing software for teams dealing with incidents, technical debt, a product takeover, an AI POC to put into production or a planned rebuild: it makes the risks and delivery options explicit. It results in a prioritized action plan that we can then implement with you.
Product, tech or leadership teams that need to assess existing software or an AI POC
A map of the existing system, a reasoned diagnosis and a prioritized remediation plan
Quick audit, full audit, or audit followed by implementation of the fixes
From a few days to a few weeks, depending on the scope and access to information
What we deliver
A technical audit is meant to decide which work to undertake. It can address a stability problem, a maintenance handover, a software acquisition or a planned rebuild. We define the starting question to avoid a technical inventory that does not help choose a next step.
Examine the software’s structure, its dependencies and the choices that make changes harder.
Assess tests, deployments, access and visibility into incidents.
Rank fixes by impact, effort and dependencies.

What it is for
Recurring bugs, slowdowns or outages, with no clear view of their cause.
A new team, a software acquisition or a vendor leaving, with knowledge of the code to rebuild.
Growth, new countries or a major customer that change performance and availability requirements.
A stack change, cloud migration or rebuild, to be decided on facts rather than impressions.
Every change costs more than planned and releases keep slipping.
A convincing prototype whose security, reliability and costs must be checked before opening it to users.
Our audit expertise
Depending on your context, we analyze the components that carry the greatest risks for your product.
Code structure and readability, technical debt, testing strategy and automation, error handling and logs.
Service breakdown, APIs, integrations with the information system, caching, processing queues, response times and points of failure.
Authentication, roles and permissions, vulnerable dependencies, secrets management, OWASP best practices and compliance requirements depending on the context.
CI/CD pipeline, environments, infrastructure as code, monitoring, databases, backups and first cost optimization levers.
For a targeted penetration test, see our cybersecurity audit and pentest. For the deployment pipeline and infrastructure, see DevOps and cloud management.
Technical audit and AI
An AI prototype often works in a demo and reveals its limits once real users arrive. The audit examines what is missing to turn it into a production-ready service: control over the data sent to the model, access rights, resistance to prompt injection, evaluation sets, logging, handling of errors and response times, cost of calls and dependency on the model provider.
The same scrutiny applies to code written with the help of AI assistants, which needs the same reviews and tests as the rest (see our article on vibe coding in production). We can then take over the AI POC and finish it through to production. See our enterprise AI solutions.
From work to deliverables
The review brings together code, architecture, dependencies, tests and deployments. We talk with the people who know the incidents and the difficulties of making changes. Findings are illustrated with evidence from the audited scope, then ranked by impact and remediation effort. A debrief session is used to discuss options and dependencies between workstreams.
Stability, performance, security, delivery pace, costs or time to market.
Access to repositories, the deployment pipeline, the cloud, monitoring, documentation and incident history, depending on the scope.
Review of code and architecture, dependencies, infrastructure, incidents and team practices.
Ranking by severity, impact and effort, between what must be addressed now and what can wait.
Presentation of findings, prioritization workshop and a realistic remediation plan.
In the field
A targeted test plan first secures the user journeys the business depends on.
An automated deployment pipeline and a clear production release strategy replace manual steps.
Tightened permissions and secrets moved out of the code and shared configurations.
Missing indexes and costly queries identified and fixed.
Oversized or unused resources spotted and adjusted.

Engagement formats
A targeted diagnosis to get a first view of the product’s technical health, identify critical risks and quick fixes.
An analysis of every area (code, architecture, security, DevOps, data), with a prioritized remediation plan.
We then carry out the fixes with you, as a fixed-price project or with a dedicated team, whether it involves refactoring, stabilizing deployments, observability, security or performance.
The choices that matter
The audit separates what was observed from what requires further investigation. Code analysis alone does not prove capacity under load or the absence of vulnerabilities. The scope and access determine how deep the diagnosis goes, and recommendations are tied to your product priorities.
How we work together
You can walk us through how things work today, the users involved and the difficulties you face. The documents, examples and access required are specified afterwards, depending on the agreed scope. The first goal is to understand the work to be done and the dependencies that may affect how it unfolds.
Frequently asked questions
Product, technical or executive teams that want to assess an existing system. It is recommended before a major change, a growth in load, a rebuild or a migration, or when a product has performance, security or maintainability issues.
From a few days to a few weeks, depending on the scope, the complexity of the architecture and access to information. This includes analysis, synthesis and presentation of the findings.
Yes. It sets out the risks, areas for improvement and recommendations ranked as short, medium and long term, with the effort, impact and dependencies of each action. It is a usable roadmap, not just an assessment.
Yes. The audit relies mainly on analyzing the code, architecture, configurations and processes. Any work on the environments is scheduled to limit disruption.
Yes, depending on the agreed scope. It identifies potential vulnerabilities, bottlenecks and the technical debt that threatens stability. Code analysis does not, however, replace a penetration test or a load test, which can be added.
Yes. We examine the data sent to the model, access rights, resistance to prompt injection, evaluations, logging, call costs and error handling. The action plan shows what is missing to open the service to real users.
Yes. We can carry out the priority fixes, stabilize the product and keep it evolving, with a dedicated team or as a fixed-price project, without starting from scratch.
Tell us about the product, the difficulties you face and the decisions to be made. Together, we will define the scope of the audit.