AI in Software Development: the be-all and end-all?

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AI is all the rage lately, with new companies/models spawning every day. The existence of all these AI models that can perform programming tasks and generate code just from a simple prompt always brings up the conversation, “AI will take your Jobs.” To ascertain if this is possible, we need to understand what AI really means and how it works.

AI is an acronym for Artificial Intelligence, which is the ability of computers to perform functions/tasks that would typically require human intelligence; this includes tasks that require thinking: problem solving, decision making, and most importantly, learning.

The primary factor in AI is its ability to simulate human knowledge/learning and make corrections from past mistakes. The existence of AI chatbots (ChatGPT, Claude, etc.) that can understand human input, learn from previous conversations, and provide solutions using learned data.

There is the looming notion that AI will steal your job; this is very prominent in the tech space because of AI tools that can generate code with simple prompts. Some of these AI tools are advanced enough to connect to third-party tools like serverless database, Figma, and build a complete product in less time.

As advanced as these tools are, they are far from being able to take your jobs. AI is not free from mistakes or introducing vulnerabilities in your code that can be easily exploited; it still needs human proofreading to ensure that the code has no security vulnerabilities.

These tools are there to assist the developer and make things faster and easier, not to replace the developer completely.

If you utilize these tools properly, it will improve the rate at which you work/deliver projects.

Here are some examples of these AI tools and how you can use them to improve your work rate.

●Chat GPT/ Claude/ Gemini/ Deepseek: These are AI chatbots that you can use to generate sample codes, debug issues in your codebase, and solve problems faster. They can provide references to other resources on the internet where others have solved similar issues, or provide solutions using data from the internet.

●Claude-code: This is a command-line tool from the Anthropic team that utilizes a prompt to build out features to fix bugs directly in your code. These types of tools are more advanced and can solve problems better because it has a concise understanding of your program architecture.

●V0: V0 is a free tiered AI tool developed by the team at vercel to help developers build out user interfaces faster, create intricate UI interactions and animations in minutes; this tool is perfect for building your reusable UI components and functionalities.

●Co-Pilot Tools: These are tools that help you write code faster, by providing auto-complete functionalities using data from other codebases and naming structure in your code. Most integrated development environments now come with co-pilot extension, or offer provision to add these tools to your codebase. Some examples of AI copilot tools include Github Copilot, IDEs like Cursor comes with its own copilot tool integrated.

AI tools are not error-proof, and you should always ensure that the code/features or functionalities generated by these tools are accurate for your particular use case. It is important to have development experience, and understand security best practices when using these tools to avoid building a Vulnerability As a Service product.

Your jobs are safe, AI tools are not built to replace you as a developer but instead assist you in effectively doing your job; maybe in the distant feature tools that are completely error free, which does not require human proof-reading will be developed, but that future is not now.

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