An Active Collaboration Between Human and Machine
Using AI in software development requires more than just technical understanding. It’s about prompt design, building context, and critical review. Those who work with AI need to be able to break down problems, formulate clear instructions, guide the model – and evaluate the results. It’s an active collaboration, where human craftsmanship remains absolutely essential.
We believe the professional developer role will always have a central place in the tech industry. Skills like robust code, architectural thinking, refactoring, and test-driven development cannot be replaced – but AI is increasingly becoming an effective support in the work.
Some Insights From Our Journey
Our internal work continuously generates many concrete insights. Here are a few examples:
- Good prompts are key. This is of course well known by now, but a vague question gives a vague answer. AI needs context, goals, and direction.
- Set the role. Even in coding, it helps to say “as an experienced backend developer…” This helps the model understand how to shape its response.
- Feedback matters. Something many actually forget: without feedback, the model doesn’t know what works – or doesn’t. Give feedback and treat the tool as a colleague you help improve.
- Verify everything. AI can write code – but it’s the developer who decides whether it holds up. AI creates efficiency, but humans set the direction. We therefore see that developers will climb the value chain rather than be replaced. They move from being implementers to being architects, from solving technical problems to solving business problems, from writing code to designing the future.
These aren’t just insights we apply in our own projects. They also travel with us into our assignments for clients.
Building for the Future
Staying at the forefront of AI requires more than just technology. It requires a culture that encourages curiosity, exploration, and learning. At HiQ, we work to combine all of this – with a clear focus on action. We build tools, test methods, and share insights. For us, AI isn’t about magic. It’s about code. And about people who know how to use it.
We do AI – for real. And we do it to strengthen our customers, our teams, and our future.
