The AI Information Avalanche
The ever growing volume of AI-generated development artifacts needs special evaluation and metrics beyond or instead of code analysis
In our knowledge area we have prepared blog articles, wiki articles and case studies on the topic of software for you.
The ever growing volume of AI-generated development artifacts needs special evaluation and metrics beyond or instead of code analysis
‘Architecture drift’ also applies to AI-generated code. We need innovative methods, including AI, to design software architectures that are...
Explore key considerations for tech due diligence on proprietary fine-tuned AI models, focusing on sustainable competitive advantages and risk...
Although LLM integration into enterprise software increases its value, it also entails new risks (dependency, non-determinism) that need to be...
AI is transforming software due diligence: Learn how data quality, model training, and organisational maturity determine investment risks and...
Whether legacy systems or agile SaaS products – this blog shows how software DD correctly assesses technological maturity and scalability
What are effective strategies to protect the software IP during a DD? Discover legal and technical measures that go beyond the usual.
Large and small targets, or young and established software companies, require different areas of investigation and approaches to software due...
Software is often a key value driver in transactions. Thorough software due diligence not only reveals risks, but also identifies opportunities. What...