Businesses hire an AI Development company to automate their process and be amongst the front runners. How do they do that? What are the considerations in the process?
AI is there to support human programmers. It is not inherently a risk. It will increase the speed of coding, removing redundancy and suggests examples like intellisense. The syntax or comments might differ, which you can change as per your understanding. Just give it the right prompt, ask the specific question, give some raw data to churn upon, and you are all set. But to make AI work properly, you yourself must be aware of the right thing. You need to be a competitive programmer to understand and appreciate what it has written, if it is exactly what you were looking for. AI should only be used in the case when you need to get more done in less time. It is completely optional and must not be used to replace huamn effort. No machine in the whole world is deemed to or trained to replace human intelligence, because even those machines have been designed by the humans. Dodge that algorithm, get more done, with accuracy and intelligence with AI in order.
Search for the programming languages in which AI codes on Google and Generative AI will list out basic programming languages. However this answer will be incomplete. Refine your query by saying, “in which programming languages can Artificial Intelligence code in 2024?”, find it adding few more to the list. So you see what happened in this particular case? AI is trained to answer specific queries, and it does not have any intelligence of its own.
Skilled programmers who are aware about how the code works, must know ahow to alleviate AI to automat long pieces of code. Every time a module needs to be built, tested, deployed, or a complex problm needs to be solved, some creative aspects of coding needs to be figured out, which is not possible without human instructions. AI will write what it knows, but then code could need a turnaround, it could need an optimization.
Any estimations that claim that AI will be replacing programmers in 5 years, are myth. Because, if scientists can create AI, they might create something more efficient and capable in coming years. AI is being perceived as a threat only for those who have not studied that much. Implementing it mindlessly is scary, because that way you are losing on on a lot of details.
AI solutions are readable, but these are experimental. You cannot vouch for the information that it offers. It cannot make out active and passive voice, the use of nouns, pronouns and adjectives, conjunctions and prepositions at the right place.
Coming over to whether AI can create mobile applications or not, the answer is yes but they might not be fully functional. Artificial Intelligence can quickly and promptly answer questions related to (1) data analysis, (2) image recognition, (3) language translation, (4) Biometrics, (5) Chatbots, (6) Machine Learning, (7) Predictive Analysis, (8) Emotion Recognition, and (9) Smart Recommendations. However, it has limitations and can’t fully replace human capabilities in showing (1) emotions, (2) creativity, (3) understanding, (4) context, (5) moral judgements, (6) multitasking, and (7) explainability. The use of AI is limited due to high cost, the need for monitoring, and job displacement.
Can AI write programming code?
Artificial intelligence (AI) can write code as well. It uses natural language processing (NLP) to understand human language and convert it into code, and machine learning (ML) to learn from data and improve its performance over time. It creates (1) accurate code, (2) identifies errors in code more quickly than a human, and (3) automates repetitive tasks. The future of programming is likely to involve collaboration between humans and AI tools. It currently struggles with tasks that require common sense, creativity, and understanding the nuances of human language.
While AI can’t currently build a fully functional mobile app from scratch without human intervention, it significantly assists in the development process and even generate basic apps. It generates wireframes, colored prototypes, animated mockups. It translates the ideas into visual prototypes based on the descriptions and preferences. It writes basic code snippets and automates repetitive coding tasks. It suggests user interface layouts and design elements based on best practices and user data. It creates simple apps with pre-built functionalities based on the specifications like chatbots, image recognition, and personalized recommendations.
Problems Faced by AI
But it is not free from struggles. AI struggles with complex functionalities and logic-driven features. While it generates design elements, it lacks the human touch and ability to truly innovate. Its extensive customization and fine-tuning often require human intervention. AI-generated code often requires manual testing and debugging.
Using AI in App Development
- Microsoft Co-pilot is often used to design mobile apps. It gives in-app guidance using natural language processing to help build the app. Google Assistant is being used to create human interactive applications on Android, iOS, and Android TV. Builder.ai, Appy Pie, Softr, Microsoft PowerApps, and Pieces are some examples.
- These days AI is being used to write and debug code. It assists in code reviews. It provides real-time code suggestions, corrections, auto-completions, and optimizations. It detects bugs and security vulnerabilities to improve the code quality.
- AI has to work with a human hand. So it acts as a virtual pair programmer. It never gets tired of what it is doing unlike human coders. If not the complete code, AI is capable of providing code suggestions. AI based code completion tools are helpful in development and critical decision making.
- Using an AI assistant to code is advisable if you need to reduce app deployment time. Automation saves cost. AI assistants make it accessible for non coders to code efficiently. AI tools are scalable as they learn from growing complexity.
- AI write code might not be complete, but it will be compilable and executable. That implies that it will be 100% bug free.
- Also, beginner AI developers use it to learn programming bit by bit.
- They get to detect issues quickly and look for possible solutions.
- AI can also be integrated with integrated development environment (IDE) to streamline the software development process and workflows.
- AI can also process images so that developers can stay focussed on their work.
Learnings
AI is a valuable tool for streamlining mobile app development services, but it cannot replace human developers entirely. The ideal approach is to leverage AI for its strengths while relying on human expertise for creativity, complex functionalities, and fine-tuning. AI redefines the role of programmers, but won’t replace them; it will facilitate the development stages, if used along withmanual code to let engineers enjoy their work and take help as and when required. Whatever it is, AI makes the current practices quick and makes the developers future ready for AI app development.
