About

Dries Van Hansewijck is a software engineering consultant, educator, and entrepreneur with over two decades of experience in the field. After earning an MSc in Enterprise IT Architecture (Belgium, 2017), he spent five years lecturing software engineering at the University of Antwerp, sharing his expertise with the next generation of developers.

In 2007, Dries founded Van Hansewijck Development, where he personally leads projects that build AI architectures, semantic-search systems and GenAI assistants for clients in healthcare and education, with an emphasis on open-source, future-proof solutions. (vanhansewijck.com)

Since 2024, Dries has refocused exclusively on consulting and expanding the GISE methodology, running workshops and pilot programmes that help teams convert LLMs from curiosity into competitive edge.

Dries is PRINCE2, ITIL, AWS and Azure certified, and works fluently in English, French and Dutch. Off the keyboard he plays classical piano—Chopin nocturnes are his favourite way to prototype ideas in a different key. His goal remains constant: turn generative AI into a stepping-stone toward prosperity—for individual engineers and the organisations they serve.

GISE — GenAI Integrated Software Engineering is the first methodology that threads large-language-model capabilities through every stage of a re-imagined 4D lifecycle: Discover → Design → Develop → Deploy. GISE positions generative AI as both opportunity and existential challenge—a power tool that can multiply human talent while demanding new standards for quality, ethics and governance.

The methodology emerged from a critical observation: while traditional software development approaches work well for experienced teams, they often leave junior engineers and emerging talent struggling to match the productivity of seasoned peers. Recognising that junior engineers and talented developers from underrepresented regions often struggle to compete, Dries designed GISE as a skills amplifier—a structured playbook that lets emerging developers wield GenAI to deliver senior-level output in weeks rather than years.

Through years of hands-on experience integrating AI tools into real-world projects, specific patterns and challenges became clear: teams needed structured approaches to prompt engineering, quality assurance frameworks adapted for AI-generated code, and governance models that balance innovation with responsibility. GISE addresses these unique aspects by providing concrete methodologies, templates, and best practices specifically designed for AI-integrated development workflows.

The vision is clear: turn generative AI into a stepping-stone toward prosperity—for individual engineers and the organisations they serve. GISE aims to democratize access to senior-level development capabilities, helping teams worldwide leverage AI not just as a curiosity, but as a competitive edge that drives real business value.

Interested in learning more about GISE or discussing how it might benefit your team? Connect with Dries through the following channels. Whether you're a developer looking to enhance your AI-assisted workflow, a team lead exploring new methodologies, or an organization seeking to implement structured GenAI practices, he's always open to meaningful conversations about the future of software engineering.

For consulting inquiries, workshop requests, or collaboration opportunities, professional networking through LinkedIn is preferred. For technical discussions, contributions to the methodology, or community engagement, GitHub and the blog are excellent starting points.