AI in software development: opportunities and challenges

The idea that artificial intelligence (AI) could completely automate programming fascinates many - especially in an increasingly digitalized world.

In fact, AI is already supporting developers in software development with tools that simplify recurring tasks. In practice, however, AI is reaching its limits when it comes to more complex challenges.

Instead of replacing human developers, AI currently functions more as a supplementary tool that relieves the burden of routine tasks, but cannot replace the in-depth understanding and experience of a developer.

The challenge: context and complexity in programming

AI in software development is a valuable tool, but it quickly reaches its limits when it comes to context and complex requirements.programming is more than just stringing together lines of code; it requires a deep understanding of the overall project that cannot be mapped by pattern recognition alone.

Developers must consider the customer's requirements, the structure of the interfaces and also potential extensions in order to develop the complete logic and architecture. AI can often only partially cover these requirements, as it delivers isolated code modules that are not seamlessly embedded in the project context.

As a result, AI-generated code often requires manual reworking and adjustments before it is actually ready for use.

The role of AI: support for routine activities

1. Automated pattern recognition and standard tasks: AI-supported tools can recognize syntax errors, generate simple standard code and provide suggestions for solution ideas. This can save a considerable amount of time, especially for basic coding tasks.
   
   
2. Analysis of data patterns: AI can analyse large data sets and recognize general patterns that contribute to the optimization of code. However, these data sets are far from covering all specific application scenarios, which is why the generated code often requires manual adaptation, e.g. for safety-critical or mobile applications.
   
   
3. "Junior developer" support with control requirements: Working with AI-generated code is often compared to the support of an intern - a valuable help, but not without control requirements. The generated code needs to be reviewed by experienced developers to avoid errors and ensure the logic of the overall project.
   
   
4. Precise instructions and individual adjustments: AI requires detailed specifications in order to deliver useful results. Developers must therefore understand the AI-generated solutions precisely and correct them if necessary to ensure that the specific requirements of the project are met.

Advantages of AI-supported programming

• Time savings: AI automates routine tasks, allowing developers to focus on more complex and creative challenges.
• Support when getting started: Beginners in particular benefit from AI support, which provides them with basic solutions and suggestions.
• Recognition of recurring patterns and errors: AI can highlight known errors and optimization potential, helping to improve code quality.

How we use AI in our work as CRM experts

At CIXON, we combine our expertise as an accredited HubSpot Custom Integration Partner with the possibilities that AI offers in software development to create innovative and customized solutions for our clients.

We use AI specifically to automate routine tasks and make workflows more efficient. Our extensive experience includes the development of numerous private apps and the successful implementation of individual HubSpot integrations, including a specialized solution for the recruiting sector.

A tangible benefit of using AI can be seen in the development of private apps, custom CRM cards and UI extensions in HubSpot: The use of AI significantly shortens the development time for such individual solutions. This benefits our customers directly, as solutions can be implemented more quickly and more budget-friendly. With the help of modern technologies, we seamlessly integrate external systems into HubSpot and extend the platform with specific functions that are precisely tailored to our customers' needs.

The intelligent use of AI ensures that our developers can focus their energy on strategic and creative tasks - always with the aim of achieving exceptional results and creating sustainable added value.

AI in software development - conclusion