There has been much buzz around the word generative AI for quite some time. There are also a lot of opinions on how it has the potential to revolutionize custom application software development like never before.
Generative AI is a new kind of Artificial Intelligence that has the potential to completely change the way software is designed, deployed, and maintained over time.
What is Generative AI?
If we are to define it, Generative AI is a system of Artificial Intelligence that can generate, images, text, or other forms of media based on requested prompts given by users. At the core, generative AI seeks to replicate the creativity of human beings. Instead of acting on separate queries, generative AI has been designed to bring creation and innovation on its own accord with minimum human involvement.
Generative AI and Custom Software Development
The world is on the threshold of a complete paradigm shift regarding the use of generative AI across industries. It’s going to change software development in more ways than you can imagine. We bring you a few highlights for the same:
1. Code Automation
This is one of the biggest applications of Gen AI in custom software development services. With the capability to recognize patterns as well as their language proficiency, generative AI allows creation of entire classes, functions, and complex data queries.
Tools such as DeepCoder and TabNine have been using generative AI to automate the code generation process.
2. Smart Debugging and Testing
Generative AI also has the added capability to help with debugging and testing code as well. This technology makes it possible to analyze large coding sets with much better accuracy and pace when compared to manual code review processes.
In a way, assistants backed by gen AI can function as members of the same team, reviewing changes in the code, hunting bugs, security issues, and performance bottlenecks very early in the development process.
For testing, gen AI can also automate the creation of test cases spanning beyond the generic scenarios to edge cases and practical usage patterns. This elaborate test coverage leads to the development of a robust software product.
3. Automated Software Documentation
Generative AI also holds a lot of promise when it comes to automating technical software documentation, which has historically been a very tedious process. With the right context of code and usage, AI models can design well-tuned library manuals, API references, and detailed app documents.
Developers don’t need to worry about the formats too, as gen AI models can produce efficient documentation in HTML, Markdown, and other interactive interfaces.
The biggest advantage with AI documentation is that every piece of documentation can be customized in terms of what to keep and what to remove. The AI takes care of the output.
4. Quicker Product Development
The capabilities of gen AI help automating operations and effortless shifting from development to production environments. Based on the skills of team members, gen AI can offer them the right tasks, saving hours in manual coordination and briefings.
In terms of the output too, quicker development never translates to ineffective code, but the exact opposite.
5. Personalized Coding Ecosystems
Gen AI does offer a generalized coding awareness, but trained assistant models on the technology can also personalize that support for developers on an individual basis. These personalized workflows assist in eliminating repetitive tasks, boosting productivity in the overall development process.
6. Quicker Code Porting
Converting code from one language to another is a pretty tough challenge and error-prone too. Generative AI models, however, can take all the effort required out of the process.
Just by analyzing the source code, gen AI can facilitate conversions across multiple programming languages like C++, Java, JavaScript, and Python, while also keeping the initial render intact with the semantics, behavior, as well as performance.
In Conclusion
Undoubtedly, gen AI brings significant improvement in throughout the complete software development domain. From the initial plan of the software to its creation, documentation, and evaluation, everything gets more enhanced when gen AI is thrown into the mix.
What is also important to ensure that enterprises need to evaluate potential shortcomings, such as data privacy and model biases as generative AI further seeps into the complexities of development processes.
If you are looking for custom software application development services with an appropriate balance of gen AI, give the application development experts at Vertisystem. With the experience of more than a decade, our seasoned developers can make your vision of a great software product a reality. Click here to connect with us!