Incorporate AI in Freelance

Software Development Workflow

Are you a freelance software developer curious about the role of AI in your field? Have you been considering integrating AI into your process but aren't sure where to start? This article is for you!

We’ve asked opinion and tips from Etcetera Full Stack developers, our Team Lead with 9+ years of experience Vlad and Dima who’s had the most experience in simplifying his day-to-day work with AI in freelance.

What is the effect of AI in freelance software development?

AI can automate many tasks related to software development and “make life easier” for the developer. Many freelancers are already actively using Chat GTP, Bing, Google Bard and other similar solutions.

Tip #1 – Use AI as a better way to search.

ChatGPT or Bing can be a great replacement for search engines that offer the most relevant solutions or links from the network in response to any request. Instead of searching in Google and clicking link after link trying to find what you need you can now receive a list of most relevant links with short outline of their content to open exactly the page with what you are looking for.

Tip #2 – Explore copilots especially if you are working with custom frameworks.

Vlad, for example, has had good experience with Amazon CodeWhisperer. It suggests syntactic improvements and corrects what you write. Also, it analyzes the code already written and, based on this analysis, automatically suggests relevant functions. Of course, you shouldn’t rely on AI 100%, and check the proposed solutions, but it does save a lot of time for custom development.

Another great use for CodeWhispere is when you need it to create a library, which it instantly does, saving you hours of manual work.​

Tip #3 – Stop doing routine mechanical work.

  • Let’s say you have code of a certain block, but need the same code but with small changes. Before, AI, you would have to manually change the names of the classes, titles or categories, etc. With AI you can just copy the code and ask AI to rewrite it for a different category with the classes that you need.

  • For example, lately Dima needed unique styles for certain pages. So, he quickly sketched the styles, and then instead manually copy-pasting the unique page id to each class, ChatGPT did all that itself.

  • You can also AI to automate the creation of routine elements like basic markup or sliders, reducing the burden of monotonous but necessary tasks.
  • AI can assist in making alterations to SVG images code.

Tip #4 – Use AI for debugging issues

If a particular function doesn’t work, it can sent to the AI to find a solution. It’s particularly useful for quick code testing and log error checks when problems arise, or when dealing with visually complex code. For testing AI can generate the necessary unit tests for the application.

Tip #5 – Challenge yourself

With support from AI you can take on more challenging and interesting tasks. Of course, AI won’t write everything for you, but with control and guidance it can fill the gaps in your knowledge and expertise, which you could use to develop as a better expert.

Tip #6 – Use AI outside of actual coding

From drafting messages and reports to clients to automatically generating the technical documentation of the project – think of the tasks that you least of all like doing and how AI can help you with them.

Because AI isn’t only about writing quality code more quickly. It is changing developers' perspective on the entire development process. It can help view tasks from different angles, leading to innovative solutions and broadening horizons.

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