SOFTWARE QUALITY
We evaluate and monitor the quality of any software system at every stage of their life cycle.
TRUSTWORTHY AI
We help organizations to govern any type of AI-based system at every stage of their life cycle.
"we make technology
trusted & thoughtful"
OUR CLIENTS
NEWS
In this paper, you will find no consensus. The people who contributed have their own perspectives and opinions. They differ about what the new primary artifact of our craft actually is. They disagree about how quickly organizations can responsibly absorb AI-generated output. They even disagree about whether code itself still matters in the way it used to. What they share is something more valuable than consensus: a refusal to reduce this moment to either hype or fear.
When organizations deploy vector-based “Traditional” Retrieval-Augmented Generation (RAG) systems, performance issues are often attributed to model choice or hyper-parameter tuning.
However, in practice, our experience in testing GenAI systems show that many failures originate elsewhere: in the structure and quality of the underlying knowledge base.
AI-assisted coding is no longer experimental. It is reshaping how software is written, reviewed, and deployed at a pace few anticipated. For some, this is a productivity revolution or change of paradigm. For others, it is a fundamental architectural risk. For most, it is both.
