Service
Know what is in your code.
Whether it has grown over many years, been inherited from a service provider or built quickly with AI: we independently review your codebase and tell you clearly where it stands. We provide findings, risk assessment and concrete recommendations.
At a glance
- Result
- Written report plus final meeting
- Packages
- Quick review or full review
- Review areas
- Security, architecture, operations
- Independent
- Also available without a follow-up engagement
- Basis
- Estimate after a brief initial inspection
When a review is worthwhile
A review is the most cost-effective way to gain clarity before an investment, acquisition or change of provider.
A service provider has handed over the system, and you want to know what you received.
A large amount of code has been created with AI assistance in a short time.
The technology needs to be assessed before an acquisition or investment.
The next security audit is approaching, and the current state is unclear.
Releases regularly break things that worked before.
A larger project is coming up, and you want to know what you are building on first.
How a review works
Access and scope
We clarify which repositories, environments and documents we will review and document confidentiality and scope in writing.
Automated analysis
Static analysis, dependency and license checks, test coverage and architecture boundaries using PHPStan, Larastan, Rector, Deptrac and composer audit.
Manual review
An experienced developer reads the code where it matters: authentication, authorization, data access, data flows and interfaces.
Operations and deployment
We examine pipelines, environments, secrets and monitoring. Security vulnerabilities rarely exist in the code alone.
Report and meeting
You receive prioritized findings with a risk assessment, effort estimate, recommendations and a meeting in which we explain everything.
What you receive
Clarity
A written report you can share internally, for example with IT leadership, management or investors.
Prioritization
Not everything is equally urgent. You see what must be fixed immediately and what can wait.
Basis for decisions
Continue development, modernize or rebuild based on facts instead of gut feeling.
Technologies
For AI-generated code, we also look for typical patterns: duplicated logic, missing error handling, unsuitable dependencies and security vulnerabilities hidden behind plausible-looking code. Read more under AI in projects.
Where we are the right fit
- Inherited or acquired codebases without reliable documentation.
- Applications built quickly with AI before they enter production.
- Technical due diligence for investments and acquisitions.
- Companies that want to know what they are building on before investing.
Not a fit for
- Courtesy reports designed to confirm a desired outcome.
- Reviews without access to the actual code.
- Assessing someone else's work as leverage against a third party.
- Unpaid trial analyses.
How we review code and AI
On our AI in projects page, we show which tools we use, where human review remains essential and which areas we deliberately do not delegate to AI.
See our approach
