Problem Statement
Acquirers, investors, and engineering leaders often struggle to assess the real quality, scalability, and liability of an inherited codebase. A superficial review can miss hidden technical debt, security issues, or architectural bottlenecks that will restrict future growth. This checklist provides a systematic audit framework to evaluate a platform's technical soundness.
When to Use
Use this checklist during mergers and acquisitions (M&A) processes, when onboarding a new vendor's code, or when performing a major platform audit prior to a strategic business restructure.
Step-by-Step Guide
Step 1: Organizational and License Audit
- Verify the ownership of all source code, assets, and documentation.
- Scan codebase dependencies for open-source license compliance (e.g., GPL restrictions vs MIT/Apache permissive licenses).
- Check that all development pipelines and cloud resources are owned by corporate accounts.
Step 2: Quality and Maintainability Assessment
- Review structural complexity metrics (e.g., cyclomatic complexity, component coupling, module size).
- Assess test suite coverage, runtimes, and build pass rates.
- Evaluate documentation depth (e.g., READMEs, setup guides, API specs).
Step 3: Infrastructure and Operational Scale
- Audit current cloud hosting architectures, network topologies, and single-point-of-failure (SPOF) risks.
- Review historical uptime records, incident history, and disaster recovery processes.
- Check scalability bounds (e.g., database read/write bottlenecks, caching hit ratios).
Checklist Items
- Repository has complete open-source license compliance reports with no licensing violations.
- Platform architecture documentation is up to date, covering all major modules and API integrations.
- No single person holds exclusive knowledge of the system (bus factor is mitigated).
- Critical infrastructure configurations are stored as Code (IaC) rather than configured manually.
- Active staging environment matches production configuration and data shape.
- Database backups are automated, encrypted, and regularly tested for restoration speed.
- Test coverage meets corporate standards with automated regression suites running in CI/CD.
- Codebase compiles on local developer systems in under 30 minutes with standardized onboarding.