Short answer
AI tools and agents help developers write code, tests and documentation faster, analyse existing code and prototype. For the client this means faster prototypes and more affordable custom systems. But architecture, business understanding, security and quality control remain people’s responsibility.
Where AI helps in development
- Writing code — typical parts, refactoring, boilerplate.
- Tests — drafts of automated tests.
- Code review — finding possible bugs and weaknesses.
- Documentation — preparing descriptions and instructions.
- Analysing existing code — understanding a legacy system faster.
- Prototypes — testing ideas in days rather than weeks.
What stays with people
- Understanding business processes and requirements.
- Architecture and long-term decisions.
- Security and data protection.
- Responsibility for the result and quality control.
What it means for the client
Custom systems become more affordable for small and medium businesses too, because part of the work gets done faster. But it’s important that the developer uses AI responsibly — with checks, tests and oversight by experienced developers.
Our experience
We work alongside AI agents every day in development, testing and documentation — they let a small team do more, faster. We apply the same principles in AI solutions for our clients.