AI has exploded onto the scene of business management. From automation of workflows to handling schedules and note-keeping, businesses are finding that AI changes a lot of how business can be done.
No-code development is still relatively new, and so companies can be unsure exactly what it can and cannot do. Early adopters are beginning to show the extent to which AI can write software and what challenges and benefits the practice has.
Will AI Replace Developers?
For many, it can be easy to expect that AI will replace the need for any development or coding altogether. But users are finding that it is changing the way the development process is done instead.
A recent Garner’s forecast predicts that 75% of enterprise apps will be built using no- or low-code platforms, showing a high willingness to adopt this new technology.
To help businesses take full advantage, it’s important to understand what early adopters are reporting about these platforms. So that when the time comes, expectations have been tempered, and management can have a clearer picture of how it can help them.
Here are some of the key takeaways from early observers.
AI Is Faster
When no-coding platforms were first released, many assumed that it would completely remove the need for human input beyond the first prompt. However, the reality is more nuanced than that.
Cloudbees’ The State of Code Abundance found that 52% of companies report an increase in output of software using AI, but over 70% reported that maintaining their test suite has become their biggest burden.
This shows that early adopters are finding that although AI is great at producing initial versions, the developers are finding that the need for testing and refinement has increased, suggesting that the time saving comes mostly at the start of development rather than at the end.
For businesses, the reduction in getting new projects started means that the bar to innovation is lower as ideas can be prototyped far quicker, and potential can be seen faster. This increase in prototyping also means that teams can spend time improving and finding solutions to common issues before launch.
Good Prompting Is Easy
For those unfamiliar with AI, the original expectation was that you simply had to input any idea and the intelligence would be able to take it from there, delivering exactly what the user wanted. However, this isn’t the case.
Instead, many users have found that better prompts are producing better applications, but reaching this level requires practice and a better understanding of how the intelligence works.
Although starting development is easy and takes few words, to get an app that fulfills the exact criteria, as well as when troubleshooting and bug hunting, it will take time for businesses and their staff to get the full benefit of no-code platforms.
Businesses that allow their staff to learn this new skill will find they are able to take programs through initial concepts through to launch much more smoothly, and with higher accuracy in delivering what was asked for.
Entirely AI App Development
For many developers and tech teams, there was a concern that AI coding would completely replace them. Lowering the technical knowledge requirement meant that anyone could be a developer. Although the requirement was lowered, many are finding that developers are still a key part of the process.
As no-code platforms have gained popularity, many companies are finding they are changing the developer role. They are better suited as a tool that complements developers’ key skills.
More recently, tools such as Pave are allowing businesses to create their own in-house software more easily through no-code development. This lets staff take steps toward the next big innovation in an easy, accessible way.
Developers however, are still heavily relied on for large-scale projects, as well as the maintenance, testing, and integration of new technology within a business. AI is helping them do routine tasks faster, helping them spend more time on higher-value work that benefits the entire company.
What’s Next for Your Development Team?
This harmony between the developer and the AI means that instead of repetitive coding, they are able to focus on smoother implementation as well as routine maintenance to help keep the business moving.
Many critics have claimed that AI hasn’t lived up to its potential; however, when correctly utilized, AI has become a very powerful tool that helps businesses and their staff in many different ways.
The greatest benefits come from its ability to accelerate routine work that, although vital, takes a lot of time and stalls progress. AI cannot replace the humans involved and still needs their input to use it effectively. But the experiences of early adopters suggest that AI-assisted coding software is defined by how it’s changing the way organizations build better software.
By changing the expectations placed on AI and understanding its role as a tool to help, businesses will find that it greatly helps develop in-house software.
