AI in our development process
We see artificial Intelligence as our co-pilot. It augments our existing processes and helps developers get faster, smarter and more cost-effective results.
AI as the accelerator in our development process
In software development, AI has become an undeniable productivity booster. Here’s how we’re seeing significant gains:
Up to 40% faster code generation
Our developers no longer experience writer's block. Generative AI–based tools can request suggestions by entering a prompt, allowing them to get started more quickly and speeding up the process significantly.
Up to 30% faster code refactoring
Using iterative prompting, our developers can make changes to existing code faster and smarter. Improvements and adaptations to libraries and pre-written code powered by Gen AI are highly effective!
Up to 50% faster code documentation
Generative AI handles routine tasks like completing functions while typing or documenting functionalities based on the developer's prompts.
- Effectively solving bugs
- Providing context
- Handling complex requirements
Disclaimer: AI is only as good as the skills of the developer using it
While AI significantly enhances our workflows, we view it as a co-pilot, not a replacement for human expertise.
Oversight and guidance remains an essential part of using AI in the development process.
Effectively solving bugs
AI tools are prone to provide incorrect recommendations to solve bugs. Sometimes they even introduce new errors in the codebase. Knowledge of an experienced developer remains crucial to solve bugs effectively.
Providing context
While AI tools possess extensive coding knowledge, they lack an understanding of the specific requirements of a project or organisation. This contextual knowledge is essential to ensure the final software product integrates seamlessly with existing applications, meets performance and security standards and effectively addresses the needs of end users.
Handling complex requirements
AI tools tend to perform better with straightforward tasks, such as optimising a code snippet than with complex challenges, like integrating multiple frameworks with differing code logic.
Want to implement AI use cases in your business?
Here's a hands-on introduction to generative AI and how to get started!
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