Related case study · MLSZKSZ
AI-supported development
AI to support developer work
We use AI-based tools to support design, coding, testing and documentation, relying on developer expertise and quality control.
01 /
Fewer repetitive development tasks
We can use AI to prepare code drafts, documentation and routine solutions. This lets developers focus more on business logic and architecture.
02 /
Support for testing and defect detection
We use AI tools to help prepare test cases and identify potential defects. Professional review of the finished code and tests remains part of the development process.
03 /
Managing knowledge and development context
AI can also support access to documentation and developer knowledge. We align tool usage with corporate data handling rules and the project's technology environment.
Our approach
Targeted AI use, under developer control
We select AI tools for specific development tasks and fit their use into the team's existing workflow. Developers review the suggestions, and the changes receive feedback through the usual code review and testing. We assess the speed-up and the quality impact based on project experience.
How we work together
Four steps to everyday work
01Development tasks and tool needs
We review which tasks AI can help the team with. We agree on the technology, data handling and quality requirements.
02Tool selection and rules of use
We select the applicable tools and the scope of the pilot. We define how AI-generated content is reviewed.
03Pilot on real development tasks
We try out AI-supported work on the selected tasks. We assess the time spent, the quality of the result and the review effort required.
04Embedding in the team's way of working
We build the proven ways of use into the development process. Based on the experience, we refine tool usage and knowledge sharing within the team.
The case study: Digital ecosystem – mobile and web platform built with AI-supported development
Contact us
- Phone:
- +36 1 611 0462
- Email:
- info@blackbelt.hu