The evolution of technology changes the way we work and progress. Where with technology’s help, we can improve productivity, it also poses some challenges. On similar lines, Artificial Intelligence (AI) is a technology that presents several novel benefits for almost every industry, including development.
Developers can use AI to automate boilerplate code generation, improve debugging and code testing, and help developers with building better solutions. However, a lot depends on how a developer approaches AI and learns to use it for their purpose. Let’s find out how developers can benefit from AI and its capabilities.
AI for Developers | 5 Benefits You Must Know
In any professional work environment, many aspire to become productive and efficient. But achieving these qualities takes time and effort. AI has made things easier, but only for those who can adapt and evolve along with it. Here are five ways in which AI can help developers progress and move ahead from the curve.
1. Code Generation
Generative AI and Machine Learning help developers predict and generate code scripts from text prompts. It understands the requirements and then generates the code accordingly. Using this, developers can automate boilerplate code generation and use the extra time to work on other parts of the code.
AI tools like GitHub CoPilot can make a developer’s work more efficient and fast. Using such tools, developers can brainstorm ideas to create better code. However, with auto-generated code, they do have to check the code for any errors. Even though AI can help with debugging, it cannot replace the instinct of a human programmer.
2. Better Decision Making
Using AI’s brain and capabilities, developers can make strategic decisions. You can train AI with information about your previous solutions along with sharing the challenges, reasons to fail, etc. Using this information; an AI tool can help you make better decisions and ensure that no mistakes are repeated.
You have to consider AI as a learning tool. Just as you are learning with your daily work, let it learn with you. Consistent training will help you have a formidable development partner which is explicitly objective and works with precision analytics. With AI’s help, you can reduce human biases and analytical errors while basing your decisions on data.
3. Bugs and Error Detection/Management
As a developer, you will concur with the fact that debugging and error management takes a lot of time and brain power of the developer. Moreover, with the number of tasks with a developer, it is natural to skip some mistakes. Using AI, application developers can detect errors in the code and manage issues with speed and accuracy.
A well-trained AI system will also provide recommendations for fixing the issues allowing developers to speed up the work. In addition to providing recommendations, an AI system can learn from past mistakes, experience, and also the general trends.
Using this information, it can take a proactive approach to detect errors and help identify issues with the code. You can get a sort of “cautionary” list showing the things you should not do when working on the project.
4. Time and Cost Estimation
Given the complexity of a development task, it’s not easy for developers to provide a fixed timeline and cost. Where the customers need this information to be correct, not being able to do so makes an app developer look novice. Using AI, application developers can provide near-accurate timelines and cost estimates.
With AI trained on past projects, it can provide estimates according to the work complexity. Moreover, you can also use an AI solution to decide whether you can take up the task or not.
5. Real-Time Feedback
An AI system can also help you with post-deployment support. It can observe and record feedback from the users. Using this information, you can rectify the issues and improve the end-user experience. With AI and machine learning, developers can train solutions to observe how an end-user interacts with the application.
Taking this into account, the AI tool can provide recommendations with data instructing the developers to take certain steps and actions for a better user experience. Using real-time information, you can further reduce application downtime as AI will help resolve the issues promptly.
Conclusion
App development is a sophisticated process where multiple variables come together to deliver a seamless user experience. With the integration of AI in the development process, things have become easier, faster, and more efficient. Using the power of AI, developers can now build applications with better accuracy and speed.
We can only expect AI to be more resourceful in the application development process. However, given all the benefits, AI can not take center stage. It will need human intervention for better training and to provide the requisite results. Octos Global leverages the power of AI to provide our clients with smarter, better, and more refined solutions. Get in touch with us to learn more about how AI can improve the application development process.
