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From Breaking Computers to Empowering AI Craftsmen

The Same Curiosity That Solves Your Developers' AI Challenges

Where code meets consciousness - hackers&wizards

At ten years old, I dismantled my father's computer piece by piece, driven by a relentless need to understand how it really works.

Twenty years later, after building systems as a developer, designing platforms as a software architect, and leading teams as a CTO, I noticed a troubling pattern: enterprise development teams were becoming less productive despite better tools, experienced developers were increasingly frustrated with their daily work, and code quality was declining even with talented engineers.

That same curiosity that drove me to understand computers led me to investigate what was really happening. The answer surprised me: it wasn't the developers or their skills, it was how they were being forced to interact with the new generation of AI engineering assistants.

The result? As a Agentic Software Engineering Advocate, I help CTOs overcome developer resistance to AI assistants by transforming AI frustration into reliable productivity. Through agentic software engineering practices and context engineeringing, developers convert from AI skeptics into confident AI craftsmen who preserve programming joy while managing technical debt from generative AI through systematic AI development.

Established Expertise in AI Assisted Engineering Excellence

The Developer Challenge You Are Facing

Your experienced developers seem increasingly frustrated. Code review cycles are taking longer. Technical debt is building up faster than expected. Despite having talented engineers, the team's productivity is declining.

If you investigate further, you will discover the pattern. Your developers have experimented with AI engineering assistants. Some disabled them partway through, while others created code that made architects cringe. You are experiencing classic developer resistance to AI assistants, as well as technical debt resulting from the use of generative AI. These are symptoms of a deeper productivity crisis affecting enterprise development teams.

Through context engineering vs prompt engineering approaches, I teach your developers systematic AI development techniques that go beyond traditional prompt engineering. Advanced context engineering practices convert developer AI frustration into reliable productivity while preventing AI-generated technical debt.

The Result

Transform developer resistance to AI assistants into AI assistant mastery.

This isn't just theory. It's the proven outcome of applying context engineering practices to systematic AI development. The result is reduced cognitive load, restored programming satisfaction, and sustained developer productivity.

My Enterprise Engineering Experience

  • Software Architecture & Enterprise Leadership

    OTTO • Breuninger • BLUME 2000 | LeadDev • CTO Craft Member

    I have led engineering teams and designed software architecture through platform modernisation. I have scaled operations from start-up to enterprise level, collaborating with teams of over 70 developers to create systems capable of processing millions of transactions daily.

    I am an expert in full-stack engineering, enterprise architecture, enterprise-grade security, and private AI deployment.

    I am an active member of the LeadDev and CTO Craft engineering leadership communities.

  • Speaking & Knowledge Sharing

    40+ Conference Talks • European Tech Events • Enterprise Conferences

    My career has evolved from delivering technical presentations to promoting excellence in AI assistants. I am able to communicate effectively with both engineers and executives, and I understand how technical implementation can generate business value.

  • Developer AI Empowerment Results

    Developer Confidence Rebuilt • Programming Joy Preserved • Cognitive Load Reduced

    Captivating agentic engineering practices that empower your developers to transition from AI sceptics to confident AI craftsmen, preserving programming joy and achieving compelling 10x productivity improvements.

Guiding Values for Developer Empowerment

These values inform every engagement, from discovery conversations to AI excellence programs:

  • Authenticity

    "We write code, we scale teams, we know the pain firsthand"

    Software engineers and architects first, consultants second. Every solution comes from real experience building and maintaining systems, not theoretical methodologies.

  • Empowerment

    "We enable teams to succeed without us"

    Focus on internal capability development rather than creating dependency. Every engagement transfers knowledge and skills so teams can continue improving and solving problems independently long after we're gone.

  • Excellence

    "We prioritize quality because it delivers sustainable speed"

    Long-term developer productivity stems from excellent engineering practices that reduce cognitive load and preserve programming satisfaction. Clean code, solid architecture, and proper tooling aren't obstacles to speed - they're what makes true efficiency possible.

  • Humility

    "We bring experience, but every situation teaches us something new"

    Approach each engagement acknowledging our experience is valuable yet incomplete. Every team, challenge, and context offers fresh insights that make us better mentors and engineers.

Empower Your Developers' AI Assistant Experience

Thousands of hours helping developers overcome AI assistant frustration have forged compelling insights that can empower your skeptical developers to become confident AI craftsmen achieving sustainable productivity with captivating results.

Learn Agentic Software Engineering Transform Your Team's AI Resistance

Continue the Discovery

Next Steps - Transform Developer Resistance to AI Assistants

From Breaking to Building: The same curiosity that drove me to dismantle computers now drives context engineering excellence. Explore these systematic AI development discoveries:

Ready to Start: Context Engineering Workshop - Transform developer resistance to AI assistants into AI assistant mastery

Learn the Framework: Context Engineering vs Prompt Engineering - Discover systematic AI development practices that manage technical debt from generative AI

My Journey: Full Story - From developer contributor to Context Engineering Practitioner

Mentoring Foundation: Mentoring DNA - How teaching skills enable context engineering excellence

Intellectual Foundation: Resources Overview - Books, heroes, and influences that shaped systematic AI development thinking

Converting enterprise AI assistant frustration into engineering productivity through established practices.