WHAT THE COMBINATION MEANS IN PRACTICE

Experience provides

understanding of the problem, prioritisation, architecture, reduction, technical judgement, product thinking, quality control and risk assessment.

AI provides

speed, variants, accelerated implementation, technical research, early prototyping and considerably shorter iteration cycles.

What matters is the combination

Speed alone does not produce a good product. At first it only increases the number of technically possible routes. Experience helps to judge these possibilities, to avoid unnecessary complexity and to concentrate development time on the questions that create the greatest product value.

AI in the product

AI-assisted development does not mean that the product contains AI. Where an application itself is meant to use AI – for example to analyse images, texts or data, or as an assistant for specialists – that function is developed, tested and integrated in its own right. Where it brings no benefit, it stays out.

AI coding accelerates development. Experience gives it direction.

EXPERIENCE × AI CODING

JUDGEMENT SELECTION DIRECTION

As AI tools become more capable, the relative effort of pure code production falls. With that, the bottleneck moves.

Increasingly, the central question is no longer: how do we produce this code?

It is:

What should be developed at all, in what form and in what order?

Which uncertainty should be reduced first? Which function is essential? Which architecture is appropriate to the current state of development? Where would technical perfection be an unnecessary advance investment? Which dependencies are acceptable? When does a state of development deliver enough insight? When should an experiment become a lasting product? When should development be ended or redirected?

These decisions do not arise automatically from an AI system.

AI can accelerate implementation, generate variants, support technical research and considerably shorten the distance between an idea and a working state of development. Responsibility for selection, architecture, assessment and integration nevertheless remains.

When production becomes faster and more economical, the relative value of good decisions rises.

TECHNICAL APPROACH

As simple as possible: Complexity is not a mark of quality. A good system solves the task with as little unnecessary technical weight as possible.
Technology follows the task: Not every task needs the same language, platform or architecture. The technical form is chosen from the product and its state of development.
Early visibility: The sooner a system can really be used and judged, the sooner solid knowledge arises.
Architecture where it creates value: An early product core may be lightweight. A growing product needs structure. The two must not be confused.
AI as a tool: AI is used consistently in development. It does not, however, replace professional responsibility. Results are checked, placed in context, changed and integrated.

ART

SELECTION · REDUCTION · JUDGEMENT · A DIRECTION OF ONE'S OWN

Alongside product and software development I work as a professional artist with digital light art, painting and spatial works.

Product development and art are different disciplines. There is, however, one relevant shared competence.

Artistic work demands decisions in situations where the result cannot be fully specified in advance. Variants arise, are judged, discarded, reduced and developed further. Quality does not come from the number of possibilities, but from selection.

That capacity is also gaining importance in technical product development. The larger the solution space that AI can generate, the more important the qualitative distinction becomes between technically possible and genuinely viable solutions.

Art is therefore not a decorative addition to Unternehmer Avantgarde. It is a second professional perspective on selection, form and decision.

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AI-assisted development with experience