{"id":52093,"date":"2024-03-18T08:14:25","date_gmt":"2024-03-18T08:14:25","guid":{"rendered":"https:\/\/codeandpepper.com\/?p=52093"},"modified":"2024-03-18T11:37:46","modified_gmt":"2024-03-18T11:37:46","slug":"centaur-developers-the-impact-of-ai-in-software-development","status":"publish","type":"post","link":"https:\/\/codeandpepper.com\/centaur-developers-the-impact-of-ai-in-software-development\/","title":{"rendered":"Centaur Developers – The Impact of AI in Software Development"},"content":{"rendered":"\n

The future of humanity on the technological front is collaboration with artificial intelligence. The impact of AI can already be seen today but it takes more than just tools to develop quality software products. What the market needs is top-notch development talent, paired with smartly utilized tools to create an efficient combo. At Code & Pepper, we call this combo \u201ccentaur developers\u201d. How AI is impacting software development and why we all should pay attention?<\/p>\n\n\n\n\n\n\n\n

In his second lesson of the book \u201c21 Lessons for the 21st Century,\u201d renowned historian Noah Harari<\/strong> delves into the concept of human-AI centaur teams<\/strong>, a mode of collaboration that heralds unparalleled results. Borrowed from the mythological creature \u2013 part human, part horse \u2013 this analogy brilliantly encapsulates how humans and AI can symbiotically enhance each other\u2019s capabilities. In the realm of software development, the idea has far-reaching implications.<\/p>\n\n\n\n

As we step into an age where AI capabilities increasingly intertwine with daily operations, a centaur team\u2019s inception in software development isn\u2019t just a choice; it\u2019s a necessity. However, the goal should not be to promote competition between humans and AI but to leverage the best of both worlds.<\/p>\n\n\n\n

An introduction to modern AI<\/h2>\n\n\n\n

The first breakthrough was a transistor. The second one was modern computing. The third one was the ability to lower the cost of this computing to approximately zero. It\u2019s when you do that, the ability to process the entire internet and data, representing almost whole human knowledge and experience, arises.<\/p>\n\n\n\n

That\u2019s exactly the approach of Jensen Huang<\/a> <\/b>(actually, Jen-Hsun), the founder and CEO of NVIDIA, currently the second most valuable company in the world. Artificial intelligence specialists, not only at his company, can figure out the meaning (not pattern) of digitized human knowledge. Basically, we can digitize anything and figure out the meaning of it. And \u201cdata\u201d is not understood as only written text or photos, because everything becomes data.<\/p>\n\n\n\n

You can digitize your customer data and use it as a base for a large-scale model for your fintech company. But you can also sequence the human genome and use it genes as data to synthesize new chemical compounds for drugs. From simple amino acids to the structure of the protein. <\/p>\n\n\n\n

Now, what AI lets us do, is work on a whole new frontier of computational data. Back in the day, a chip was a chip. A small, gradually shrinking piece of tech, is often described as an SoC, which is a system on a chip. Few independent, yet interconnected systems work together on one piece of hardware. What NVIDIA is doing right now, is working on a chip that, yet again, takes up a huge chunk of space. The H100, as it\u2019s called, replaces systems on a massive scale. The cost of cables alone that it replaces, is bigger than the chip itself.<\/p>\n\n\n\n

Why is that important?<\/h2>\n\n\n\n

Because it promotes two simultaneous approaches to AI \u2013 hardware and software-based. It cannot happen without talent. Software developers who put effort into digital products and push the boundaries of what\u2019s possible. And when it\u2019s possible.<\/p>\n\n\n\n

Time-to-market is equally important. That\u2019s why at Code & Pepper, we embraced the philosophy behind the term \u201ccentaur teams\u201d. We have a precise methodology<\/a> <\/b>to identify and recruit only the best 1.6%<\/a> <\/b>of software development professionals on the market. <\/p>\n\n\n\n

With more than 70 carefully defined attributes, we can target only those who match our expectations and are able to deliver. There are the ones that work with AI and automation tools that support modern development processes.<\/p>\n\n\n\n

With this method, we are capable of working on challenging, practical, and impactful fintech and healthtech projects. <\/p>\n\n\n\n

Examples of fintech apps with integrated AI<\/h2>\n\n\n\n

There are many forms in which artificial intelligence is either used to make apps or is even integrated with them. Here are examples of why it\u2019s good to include AI in projects.<\/p>\n\n\n\n

Bud Financial<\/a><\/b> is an AI-powered data intelligence platform that, in their own words, lets companies have  \u201cthe access, make sense of, and enrich messy financial data\u201d. With the help of Bud, banks can connect their apps and data to other fintech companies and financial services. Businesses can verify income, assess affordability, monitor it, and use AI to drive money-related decisions.<\/p>\n\n\n\n

Ocrolus<\/a><\/b> is a document processing software that combines machine learning with human verification. The software allows businesses, organizations, and individuals to increase speed and accuracy when analyzing financial documents. Ocrolus\u2019 software analyzes bank statements, pay stubs, tax documents, mortgage forms, invoices, and more to determine loan eligibility, with areas of focus including mortgage lending, business lending, consumer lending, credit scoring, and know-your-customer (KYC) processes.<\/p>\n\n\n\n

Noetica<\/a><\/b> is an AI-powered software platform for benchmarking corporate debt transactions. With it, professionals can determine if capital markets deal terms are on or off market. Users can upload any given bond or credit document and compare all deal terms to thousands of both public and private transactions. The AI is used to scan corporate debt terms with the notion that it\u2019s the largest graph in the industry.<\/p>\n\n\n\n

The role of AI in modern software development<\/h2>\n\n\n\n

Sounds easy? It\u2019s not. <\/p>\n\n\n\n

Firstly, leaders need to understand that AI is not a magic bullet that\u2019ll resolve all their development challenges. It\u2019s a tool, a teammate that needs proper guidance to be efficient. The AI system must be trained, updated, and monitored, a task for which humans, particularly those with advanced skills, are indispensable.<\/p>\n\n\n\n

Secondly, human talent must be upskilled to effectively \u2018steer\u2019 the AI. Not every team member needs to be an AI expert, but a baseline understanding of AI\u2019s capabilities, limitations, and ethical considerations is crucial. Upskilling enables team members to use AI tools effectively, recognize when AI\u2019s output needs human intervention, and create better AI training models.<\/p>\n\n\n\n

Lastly, it\u2019s crucial to build a culture that celebrates collaboration and values different skill sets. Human members should feel that AI is an ally, not a threat to their jobs. Conversely, AI should be treated with the respect accorded to any team member, with its input valued and utilized effectively.<\/p>\n\n\n\n

As Janel Garvin<\/strong>, the CEO of Evans Data<\/a><\/b>, once said:<\/p>\n\n\n\n

The fear of obsolescence due to AI, was also more threatening than becoming old without a pension, being stifled at work by bad management, or by seeing their skills and tools become irrelevant.<\/p><\/blockquote>\n\n\n\n

As we explained in our internal interview<\/a> <\/b>with our developers, it\u2019s skills that matters. They can\u2019t be overshadowed with over-reliance but it can be paired with tools that optimize performance.<\/p>\n\n\n\n

Benefits of using AI in software development<\/h3>\n\n\n\n

There are measurable benefits of using AI on a daily basis. They are:<\/p>\n\n\n\n