Logiciel provides code audit services for SaaS companies evaluating established platforms, preparing for modernization or addressing recurring engineering and production issues. From source-code quality and architecture assessment to security, multi-tenant design, testing, scalability and technical debt analysis, we help technology teams identify material risks and create a practical improvement roadmap.
Each engagement gives product and engineering leaders a clear view of the platform’s current condition and the improvements that should be prioritized.
maintainability, complexity and technical debt
multi-tenant design and scalability constraints
tenant isolation and access controls
DevOps practices and release readiness
urgency and remediation effort
for stabilization and modernization
Evaluation of readability, structure, duplication, complexity, consistency, error handling and maintainability across the codebase.
Review of service boundaries, application dependencies, data flows, integrations and architectural constraints affecting product growth.
Assessment of tenant isolation, account configuration, shared services, permissions and customer-specific data-access patterns.
Analysis of authentication, authorization, input handling, secret management, third-party libraries and unsupported technologies.
Review of application bottlenecks, database access, service dependencies, cloud infrastructure and areas that may restrict future growth.
Evaluation of automated test coverage, regression protection, CI/CD pipelines, deployment practices and rollback processes.
Determination of which components should be retained, improved, separated or replaced, organized into a practical improvement roadmap.
A targeted assessment examining a specific module, security concern, integration, production issue or code-quality risk.
A structured review covering code quality, architecture, multi-tenancy, testing, dependencies, security and delivery practices.
A broader assessment for complex SaaS platforms with multiple applications, services, customer environments, integrations or engineering teams.
Patterns from our SaaS, architecture, quality and cloud engineering teams that help companies move from technical uncertainty to clear engineering decisions.
How we categorize code, architecture, security, tenant-isolation and delivery findings according to severity, business impact, urgency and remediation complexity.
A practical approach to deciding which application components should be retained, stabilized, improved, separated or replaced.
Scope and Objective Alignment
Repository and Evidence Review
Code, Architecture and Multi-Tenant Assessment
Security, Quality and Risk Classification
Reporting and Remediation Roadmap
Services can include code-quality assessment, architecture review, security analysis, multi-tenant evaluation, dependency review, test-coverage assessment and remediation planning.
A code audit helps identify technical debt, scalability limitations, security concerns and maintainability issues before they affect customers, releases or business growth.
A review may include service boundaries, tenant isolation, data flows, APIs, integrations, cloud infrastructure, scalability and system dependencies.
Yes. Logiciel can independently assess vendor-built or inherited SaaS software for quality, architecture, security, documentation and ownership risks.
Yes. Logiciel can review authentication, authorization, input handling, dependency risks, secrets management and other application-level security concerns.
Yes. The audit identifies which components should be retained, improved, separated or replaced and provides a prioritized modernization roadmap.
Yes. Logiciel can support remediation, architecture improvements, test automation and modernization through a separate engineering engagement.
Logiciel combines independent technical assessment with practical SaaS product engineering experience across architecture, development, cloud infrastructure, QA and modernization.
Identify architecture risks, technical debt and code-quality issues before they slow product delivery, weaken enterprise readiness or create larger production problems.