There is still a lot of experimentation involved in the use of GenAI in software development. However, adesso’s experience from countless development projects has shown that the following aspects are crucial to success:
- It all comes down to application knowledge: Developers need extensive knowledge of business models, industry specifics, internal processes and the specific challenges that future users will face in their day-to-day work. The more routine tasks they outsource to GenAI tools, the more important this becomes so that they can give the tools precise instructions and the results do not require substantial reworking.
- Integration is crucial: GenAI tools need access to existing systems and must fit seamlessly into established processes and compliance structures. That is why developers need to specify an architectural framework that regulates the necessary integrations – otherwise the tools will not be able to fulfil their huge potential.
- Transparency creates trust: GenAI solutions involve uncertainty – for example, it is not always clear whether sufficient data is available in the required quality and how good the results are. The results can vary greatly depending on the model version, the data quality and even the prompt. Developers must be aware of this uncertainty and deal with it openly so that they can use GenAI effectively as an aid.
- Interdisciplinary collaboration is a key factor: Experience shows that the best ideas and solutions arise where people with different perspectives work together – and this also applies to software development. To make use of GenAI in development projects, developers must take into account the expertise and experience as well as the needs of departments, UX designers, sales staff and compliance experts.
