The impact of ChatGPT on the job market for software developers: Is it still worth investing in a career in software


I've been keeping an eye on the advancements in AI and specifically on a model called ChatGPT. From what I've seen, it has the capability of generating human-like text and it's pretty impressive. However, I can't help but think about how this could potentially impact software developer roles. ChatGPT can write and understand code, and that has me wondering if it could automate some of the tasks that I currently do. It's definitely something worth considering as a software developer, especially when thinking about the future of the job market in our field.

ChatGPT is a powerful language model developed by OpenAI that has the ability to generate human-like text. One of its potential use cases is the ability to write code. This is done by training the model on a large dataset of code and code-related text, such as comments and documentation. Once trained, the model can generate code snippets or even entire programs based on a given prompt or context. See Nick Chapsascontent creator for C# and .NET programming languages, be amazed by ChatGPT programming abilities below:


Understanding ChatGPT

ChatGPT is a powerful language model developed by OpenAI. It is based on the GPT (Generative Pre-training Transformer) architecture and is trained on a massive dataset of text from the internet. The model uses a technique called unsupervised learning, where it is trained to predict the next word in a sentence or text based on the previous words. Once trained, the model can generate human-like text based on a given prompt or context. The model uses a decoder, which is a neural network, to generate text. The decoder takes the encoded input and generates a probability distribution over all possible words, then the model select the word with the highest probability and continues to generate the text.

ChatGPT is able to write code because it has been trained on a large dataset of code, such as open-source projects on Github. During the training process, the model learn the syntax and structure of the programming language and is able to generate new code based on a given prompt or context.

For example, if the prompt is "Write a function to filter an array of numbers and return only even numbers in JavaScript" (which is a common Javascript interview question) the model would generate code similar to the following:

function filterEvenNumbers(numbers) {
  return numbers.filter(num => num % 2 === 0);

Which of course is correct. But alarmingly it took less than a second for it to reach this answer.

However, ChatGPT also has some limitations. It is not capable of understanding the problem domain, testing and debugging. It also requires human supervision and modification to be used in production. Additionally, it's knowledge and reasoning ability are based on the data it was trained on and it's knowledge cut-off date is 2021 as of the time of writing, it may not have knowledge about recent developments in the field. It also may generate text that is biased or offensive, since it learns from the data it was trained on. It is important to keep these limitations in mind when using ChatGPT and to use it in combination with human expertise.

The Impact of ChatGPT on the Software Development Industry

ChatGPT is being used in the software development industry for tasks such as code generation, where the model is trained on a dataset of code and can generate new code based on a given prompt. Additionally, it's also being used to write technical documentation.

In terms of coding, ChatGPT's ability to generate code based on a given prompt could automate repetitive and tedious tasks, increasing the efficiency and productivity of developers. This could lead to a shift in the role of developers, with more focus on the high-level design and decision-making aspects of the job. In terms of testing, ChatGPT's ability to generate code could also facilitate the testing process by providing a larger pool of test cases. In terms of documentation, ChatGPT's ability to understand and generate natural language could also improve the quality and clarity of technical documentation, making it easier for non-technical stakeholders to understand and contribute to the development process.

I think most will agree with that given correct instructions, chatGPT can write write better, more efficient code faster than any human. So I think it's only a matter of time before actually writing code becomes a needless skill however this doesn't mean we will need not need software developers. Rather software developers will need to transition to a supervisory role and become experts at providing AI e.g. chatGPT will instructions as well as reviewing, testing code. Does this mean learning to write code is pointless? I disagree, in order to review code you must have the ability to write code and know how it fits into your current system or team - something AI doesn't yet have the ability to do.

It's important to consider that ChatGPT is a tool, and as such, it will augment the capabilities of software developers, and it could lead to the creation of new roles and job opportunities.

The Future of the Software Development Industry

The potential future developments in AI and the software development industry are exciting and vast. With the increasing capabilities of AI and machine learning, we can expect to see more advanced automation of software development tasks, such as code generation, testing, and debugging. Additionally, AI-assisted development environments will become more sophisticated and intuitive, allowing developers to work more efficiently and effectively. In the near future, we can expect to see AI-based development tools that can analyse and optimise code, identify bugs, and even make suggestions for improvements.

AI can be used to improve the overall software development process, such as project management, team collaboration, and documentation. Another area where AI can be used is to improve the security of software systems, detecting and preventing cyber attacks before they occur. The integration of AI in software development will bring new challenges and opportunities, and it will be important for software developers to keep up with the latest developments and learn how to work with these new tools.


For software developers, it is important to stay up to date with the latest developments in AI and machine learning, as these technologies will continue to play an increasingly important role in the software development industry. Additionally, it is important to develop a strong foundation in computer science and software development principles, as well as experience in multiple programming languages. It's also worth to consider learning how to use some of the AI-assisted development tools and platforms that are currently available, as these will likely become more prevalent in the industry in the future. To those considering a career in software development, it's a good idea to learn about AI and machine learning, as these technologies will play a big role in the future of software development. It's also important to understand that the software development field is constantly evolving and changing, so staying current with the latest technologies and trends is crucial.

If just want to chat about AI, ChatGPT or any software development related topic, feel free to contact me and book in a time (free of charge).