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Ready to Act at a Moment’s Notice: The Definitive Guide to Tiger Teams

Mayank Pratap Singh

Co-founder & CEO, Supersourcing

AI will replace your jobs by 20XX…. Since the advent of AI, everyone is hearing this news all over the internet.

In fact, recently Netflix posted an AI job that pays approx. $3500 per day compared to writers who are paid $200 for the same. Though, the job is taking the heat due to writers’ and actors’ strike, but that’s a story for another time.

The point is that the advancement in AI and other technologies have been fast tracked since the advent of generative AI.

Marketers, writers, software engineers, even HRs are fearing to lose their jobs to AI.

Everybody is clueless about how artificial intelligence will reshape their roles. Are we on the verge of job losses, or could this be an opportunity for unprecedented growth?

The simple answer is – in the next 5 years, either you are using AI to do your job smartly, and productively or you are doing nothing.

 AI will not replace you. The person who uses AI will.

Did you remember this amazing campaign by IBM during the start of the internet era? It creatively explains why the advancement in technology is not a threat if you adapt to changes.

Now to survive and win in the current technological advancement race, what we already know is that:

  • People need to (re)adapt to high levels of automation, to remain competitive
  • Skills like problem-solving and critical thinking will become essential 
  • Talent with multiple skill sets that can effectively use AI to do their job productively will be in huge demand

In this article, we will talk about how AI is reshaping the role of software engineers, its limitations, and how as a software developer you can leverage AI to make your work easier and smarter.

How AI is Augmenting the Software Development Process?

Enhanced Productivity 

Coding, code review, bug detection, and testing are all repetitive and time-consuming tasks in software development that can be automated.

A McKinsey study on software engineering teams found that AI tools decrease software development time and improve the work experience.

Reduced Software Development Costs

Artificial intelligence tools will reduce costs related to post-production bug fixes, security breaches, and customer complaints by automatically detecting and fixing defects and vulnerabilities early in the process. 

Clean and Efficient Codebases

A study found that 42% of developers’ time is spent dealing with technical debt and maintenance issues.

Using AI, developers can identify, prioritize, and suggest changes to codebases that are most likely to incur technical debt. It will reduce the manual work required to keep codebases clean and efficient by automating the code refactoring process.

Accelerating Time-to-market

Developers who use Microsoft’s GitHub Copilot complete projects 56% faster, potentially resulting in increased revenue and market share for businesses.

However, it’s not all smooth sailing. There are a few limitations of GPT4 and other generative AI tools. These limitations enable software engineers to play a crucial role in developing innovative products and technology.

Limitations of Generative AI: Can GPT4 replace developers?

Startups are leveraging GPT4 capabilities to accelerate the software development process so that businesses can use human coders in the development of more complex architecture designs.

While the new GPT4 has improved contextual understanding and a more diverse dataset to produce near accurate results, it is not the substitute for human coders and their problem solving and critical thinking ability.

No Domain-Specific Knowledge

It lacks the practical understanding of the industry and domain that coders possess. While it may generate code snippets based on the prompt you use, it cannot comprehend the underlying concept and granular details of the frameworks and that’s where human coders have a big advantage.

Ethical Concerns 

Biased datasets can lead to the generation of biased code and create ethical dilemmas. For instance, if the AI is trained on datasets that contain biased information, the AI could reproduce and perpetuate that bias in the code it generates.

Limited Ability to Work the Bug Out

Machines can debug general errors but human expertise is required to identify and resolve complex errors.

No Context Awareness

GPT4’s language generation completely relies on the context you add. If the context is not clear, it may produce inaccurate results.

AI cannot collaborate or think

GPT-4 cannot brainstorm, share unique insights, or provide creative solutions beyond generating code snippets.

No Innovative Capability

AI doesn’t possess the ability to create and innovate groundbreaking solutions or create entirely new algorithms or approaches.

Therefore, it is safe to say that GPT4 or any other AI tool will not replace developers completely.

Aspire to be an Expert-Generalist Software Developer

Organizations are now looking for Expert-Generalist Software Developers who can quickly learn and understand the latest technologies, frameworks, and platforms to develop reliable software solutions. They also understand the big picture of the project to develop efficient solutions that work well with the existing system. Software engineers need to have

  • good command of programming languages, and frameworks
  • excellent critical thinking and problem-solving skills
  • curiosity with good learning agility

In other words, to stay competitive you’ll need to move from having in-depth expertise in one area, to having a broad breadth of knowledge and multiple expertise areas.

The Future Workplace Will Be Run By Collaborative Intelligence (AI + HI)

The future workforce will focus on collaborative intelligence, merging human creativity with artificial insights.

While software developers will do what humans do best. Think critically. Observe the nuances that machines can’t. Learn to act more like humans, and apply their expertise to solve complex challenges. 

Whereas, AI will function as an ally that accelerates tasks, delivers data-backed insights, and fast-tracks development timelines.

Such collaborative relationships will equip developers with the ability to create excellent, user-centric products, giving them a competitive edge in an evolving tech market.

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