Bridging backend engineering and emerging technologies:

By Kareem Islamiyat

David Aniebo is a seasoned backend developer with competence in current cloud infrastructures, scalable online apps, and cutting-edge technologies.

He has not only mastered the complexities of backend systems, but also discovered methods to incorporate new technologies such as blockchain and large language models (LLMs) into his development projects. In this honest interview, David offers insight on how backend engineering interfaces with these disruptive technologies and what the future of software development holds.

To start, could you explain your opinion on how backend engineering has changed in recent years and how emergent technologies like blockchain and LLMs are affecting that evolution?

Absolutely, pleased to be here. So, when I think about backend engineering, it’s always been about dependability and scalability, building systems that can manage expanding quantities of data and people without breaking down. But increasingly, as new technologies arise, backend engineering has to move beyond the old architecture.

For example, with blockchain, backend developers have to understand not just how to create and manage scalable systems, but how decentralized systems function, and how we can protect them and make them more efficient. Blockchain isn’t just about crypto currencies anymore; it’s impacting everything from supply chains to safe voting systems.

As for LLMs, they’re another game-changer. We’re not only building APIs anymore or working with traditional databases. We’re currently thinking about ways to incorporate machine learning models into backend systems to give intelligence and decision-making skills to apps. These technologies necessitate a different perspective than those required 10 or even five years ago.

You’ve been engaged with blockchain technology for a long. How have you seen it progress from a specialist interest to one that influences more mainstream development practices?

When blockchain originally gained popularity, it was mostly about crypto currency. However, in recent years, it has grown to encompass a considerably larger range of applications.

Personally, I’ve worked on blockchain applications that extend beyond financial transactions, such as secure identity management and decentralized file storage. These application cases are beginning to attract the attention of organizations. Blockchain’s potential to provide transparency, traceability, and security is useful across industries, not just banking. However, the technology is still evolving. The primary challenge we face is scalability. Ethereum, for example, has had issues with high transaction fees and slow speeds, limiting its usability. However, the promise of blockchain remains strong. I believe that in the coming years, we’ll see even more sophisticated solutions to those problems, and backend engineers like myself will need to stay ahead of the curve.

You’ve worked on a number of cutting-edge projects, including AI. How do you think large language models like GPT will influence backend systems in the near future?

LLMs are fascinating because they are more than just tools for generating text or automating responses; they have the potential to change our perspective on software engineering. APIs, data management, and processing are all familiar concepts in the backend realm. However, LLMs add an entirely new dimension. For example, you can use LLMs to power chatbots, build intelligent recommendation systems, and even generate code based on natural language inputs. As a backend engineer, integrating LLMs requires a unique skill set.

We’re talking about managing models at scale, optimizing them for performance, and ensuring their secure integration into applications. It’s not easy to do. There are also issues around cost, since LLMs require a lot of computational power. But the possibilities are endless. In the future, we might see a lot more “smart” applications that can interpret user input in ways we haven’t imagined yet, and backend engineers will have to be prepared to manage this complexity.

That sounds like a fascinating shift. With all this rapid change in technology, how do you believe the position of a backend developer will grow in the future years?

The position of a backend engineer is already shifting, and I believe this trend will continue. One of the most significant developments is the trend toward full-stack developers, who have a strong understanding of both frontend and backend systems, with a particular emphasis on backend competence.

As we add increasingly complex technologies like machine learning models and blockchain into our systems, we need engineers that understand how to link these diverse systems and make them function together smoothly. Another key development is the rising demand for security skills. With more sensitive data being handled and more attack vectors emerging, especially with decentralized systems, backend engineers will need to play a more active role in ensuring systems are safe by design.

And third, I think we’re going to see more engineers working in smaller, more agile teams, where the focus isn’t only on producing code but also on optimizing systems for long-term scalability and maintenance. The future of backend engineering will require a broader skill set that extends beyond just the technical to include strategic thinking and collaboration.

You’ve mentioned security multiple times. Given your expertise with cloud and decentralized technologies, what do you view as the most difficult obstacles in keeping these systems secure?

Security is always an issue, but with decentralized systems like blockchain, the stakes are higher. Traditional systems rely on a centralized authority to impose security measures. However, with decentralized systems, you do not have that luxury. You must believe that the consensus processes and cryptographic techniques being employed are strong enough to avoid breaches.

One of the most significant issues I’ve encountered is that many developers, particularly those new to blockchain, don’t completely grasp the complexities of protecting smart contracts or ensuring that decentralized programs are adequately safeguarded. Vulnerabilities in smart contracts, such as reentrancy attacks, have already been exploited, and the security threats increase as these systems get more complicated. Backend developers working with blockchain need to think about security from the very beginning and be proactive in testing and auditing the systems they construct.

To conclude off, what advise would you provide to prospective engineers who want to work with upcoming technologies like blockchain and AI in backend development?

My suggestion would be to keep studying, be interested, and don’t be scared to experiment with new technology. Blockchain and AI are still emerging, and there’s a lot of opportunity for creativity. But they may also be challenging, there’s no “one-size-fits-all” approach. That’s why it’s crucial to create a solid foundation in backend engineering initially. Once you grasp the fundamental concepts of designing scalable, efficient systems, you can begin experimenting with emerging technologies and determining how to use them in meaningful ways. Above all, keep an eye on the big picture: consider how your work fits into the greater ecosystem and how you may have an influence beyond the code.