The Good Tech Companies - Does AI Understand Angular Development? We Put ChatGPT to the Test

Episode Date: April 9, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/does-ai-understand-angular-development-we-put-chatgpt-to-the-test. Learn how ChatGPT and generative AI boost software development speed with real use cases, benefits, and Angular coding tips. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #chatgpt, #chatgpt-for-coding, #software-development, #angular-development, #chatgpt-for-business, #software-engineering, #leobit, #good-company, and more. This story was written by: @leobit. Learn more about this writer by checking @leobit's about page, and for more stories, please visit hackernoon.com. Generative AI, especially ChatGPT, is transforming software development by speeding up coding, improving user interactions, and enabling smarter solutions. This article explores its benefits, use cases, and offers practical Angular coding tips.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Does AI understand Angular development? We put Chad GPT to the test, by Leobit. Artificial Intelligence, AI, is, by far, the most promising next-generation technology, standing as a beacon of innovation. AI technologies offer solutions and opportunities that were considered impossible. A standout example of this innovation is Chad GPT, a generative AI solution developed by OpenAI that completely innovates online information searches and can be integrated with custom software.

It can be used as a chatbot for user interactions, coding assistance, quick provision of necessary information, etc. No wonder that since its release, Chad GPT has surpassed a million users in just five days. Today, we will discuss the advantages that generative AI development services and the usage of Chad GPT, in particular, can bring to ensure rapid software development. In this article, you can find some tips and prompt examples for enhanced coding with Angular. Business Advantages of Using Chad GPT for Angular development.

A survey reveals that 92% of US-based developers are already using AI tonehance coding, while 70% of developers state that such AI tools significantly boost their efficiency. Let's clarify what these numbers mean from a business perspective. Rapid software DEVELOPMTAI tools like ChadGPT can rapidly generate boilerplate code and reusable components. Such an approach saves developers time and effort, accelerating the solution's time to market. This is especially useful for projects where speed is the priority, like developing prototypes,

MVPs, or other apps that should take a particular market niche as soon as possible. Improved code quality and CONSIST NCYAI tools like Chad GPT use best coding practices to generate well-structured and optimized Angular code. They can also be used for automated code reviews. For example, Chad GPT can assist in identifying and fixing errors by analyzing error messages. It can also provide developers with useful tips on solving the problems. Such an approach reduces debugging time while assisting developers in keeping the code clean and maintainable.

The output of such efforts is a stable app that provides a consistent and satisfying user experience, which is essential for business. Reduced development costs has been mentioned before, AI tools can automate repetitive coding tasks, which reduces the need for extensive manual work. With an AI-assisted approach, developers spend less time on routine tasks while staying focused on de-vloping more complex algorithms. More efficient human resource involvement can reduce the cost of developing an app dramatically. Enhanced software MAINTAINABILITYAI tools provide developers with many useful tips that impact the overall quality of the final product. In particular, ChAT GPT can suggest refactoring strategies and guidance that help teams produce well-organized and maintainable code. In addition, Chad GPT can be used for generating consistent and informative project documentation,

which assists the team in software maintenance and can be useful when it comes to ongoing application updates. Using Chad GPT. Common challenges and tips for solving them. Some developers are rather skeptical about the value of using Chad GPT for enhanced coding. Common claims include poor quality of outputs, security concerns, and AI's failure to comprehend requests properly, which also translates into misleading outputs. Let's explore these challenges and simple yet effective tips that developers should implement to benefit from using Chad GPT. Poor quality of outputs Chad GPT is not always capable of providing the right output. Sometimes, IT delivers inefficient code or may fail to handle particular coding tasks at all.

A common reason for such a problem is the use of a complementary version of Chad GPT. To begin with, it's important to understand that there are two primary versions of Chad GPT available for use. The complementary version 3.5 and the premium version 4. The free version 3.5 has limitations, particularly in its ability to write code effectively. It is also important to note that version 3.5 is restricted by design and does not have the capability to search for real-time information or update its database beyond the year 2021. On the other hand, for a monthly fee of $20, users can upgrade to version 4. This premium version offers significantly enhanced performance, especially in coding tasks, and regularly introduces new and useful features, ensuring it remains up to date with the latest advancements and user needs.

A question of security confidentiality is a common concern when it comes to using open AI. Even Chad GP Titself recommends its users to avoid inputting private or sensitive data. In addition, by exposing sensitive data to such an open source platform, developers may violate security regulations. N.N. Therefore, the best way to stay on the safe side and stay compliant is to be careful with what you send to Chad GPT. Developers should not input specific company data or confidential information as everything will be recorded and probably used for the next version training. Failure to comprehend user request properly as has been already mentioned, Chad GPT may fail to understand user requests, which results in poor or misleading outputs.

Even though its version 4 is much more powerful than the complementary version 3. 5. Developers may still face such a challenge while using it. In many cases, the source of the problem is a poorly written prompt. To mitigate such a challenge and ensure high-quality outputs, users should write grammatically correct, complete sentences that describe everything important to get a high-quality answer. A clear prompt is vital for getting a clear response.

It is also useful to provide Chad GPT with examples that help AI understand what exactly the user needs. As a result, Chad GPT will be capable of extending existing examples with proper results. Also, developers should remember that Chad GPT can be not so good on the first try. Sometimes, a valid option is asking for one more answer generation. In many cases, Chad GPT will provide a more satisfactory result or eliminate a possible error in the code. Indeed, these are not the only challenges associated with the use of Chad GPT for enhanced coding. While the above-mentioned obstacles are very common and can often be solved with the right

approach, it is important to remember that Chad GPT cannot solve all coding tasks, and human work still remains vital. It is useful to apply it for assistance to human developers but never to view it as a universal and autonomous solution for coding. Code Generation Prompt Let's write a clear prompt with strict instructions so that Chad GPT will understand the whole picture and give us exactly what we need. Prompt Imagine you are developing a shop website.

You need to give users the possibility to create an account where they will have ordering information and payment methods. Generate an Angular 16 version signup page component. Use the reactive form approach and add simple validators to every field. Skip the whole Angular app setup process and hive only the TypeScript file. Explain the process and give use full notes. Here, we get the example of an Angular development component with all the needed methods, properties, and injections for the start. It also includes informative comments on every important thing inside, an explanation of the steps, and notes with useful information. In case we did not ask only about the TypeScript file chat GPT would describe all paths with examples of project setup, packages installing, etc. Test generation prompt based on

example. Now we want to add some unit tests to our generated Angular signup page component. A unit test is a certain way of verifying the functionality of individual components or units of code. End prompt. Generate unit tests for the next Angular signup page component. End component. Paste code here. This time, we will put in the component code to get the needed results and check chatbot possibilities to work with code examples.

The answer is divided into categories so we can choose what to add. One. Setup and basic test configuration. Two. Testing form I-N-I-T-I-A-L-I-Z-A- form INITIALIZATION3. Testing validators 4. Testing custom validators 5. Test form submission and here it is.

We have unit tests that cover various aspects of our signupage, ensuring the form initializes, validates correctly, and behaves as expected during submission. Not sure that everything will work without corrections in code, but we already saved a lot of time by skipping the part of thinking about various scenarios and preparing basic test configurations. Code refactoring prompt. Imagine we have some component and want to refactor, review it to improve code efficiency, readability, or for any other reason.

Let ChatGPT do this work for us. Prompt review and refactor the next angular component. Give suggestions, Andre, commendations component. Paste code here. And as a result, we get issue points, code examples and details. This practice is very useful, especially to the developers that don't have much coding experience. The system is not so good and does not replace human code review, but it is a great opportunity to save code reviewers time.

Our expertise in AI software development. All of the insights mentioned above are the results of our extensive research and experimentation with large language models and other AI-based technologies. In particular, we have a successful experience of creating Leo, an email-out-o response solution on the top of Chad GPT. Our platform uses information from thoroughly organized and categorized databases to provide fast and personalized responses to customer emails and website form submissions. Leo also qualifies and scores leads based on request type, industry, and technology match, allowing our sales team

to ensure custom workflows corresponding to lead categories. Driven by our successful experience in corporate AI transformation, we have already successfully employed LLMs and custom ML algorithms to create I employees. For example Leonardo, Leobit's I-based HR assistant that provides answers to the employee's FAQs by retrieving the relevant information from the company's curated knowledge base. Leora, our vocalized AI sales assistant that uses the company's knowledge base to provide detailed and personalized answers to prospects.

Leobit teams actively use Chad GPT to accelerate software development, applying best practices and tailored prompts in our workflow. While we recognize ITS limitations, particularly with technically complex tasks, we also see its significant potential to enhance rapid and reliable development. Conclusions CHAT GPT represents a remarkable advancement in the domain of AI-driven development tools. We have just demonstrated several examples of implementing it that may help a business enhance software development speed, improve code quality,

reduce the cost of development, and make software more maintainable. In addition, Chatt GPT can handle a very broad range of other business workflows, such as creating documents, providing information on different topics, translating texts, providing tips and suggestions for technical challenges, and so on. Overall, ChatGPT is a powerful tool for software developers and other employees willing to

enhance workflow efficiency. This great diversity of use cases makes it a wise choice for anyone who wants to enhance custom software development and embrace automation. Thank you for listening to this Hacker Noon story, read by Artificial Intelligence. Visit hackernoon.com to read, write, learn and publish.