Cracking The Code: How AI Revolutionizes Software Development
As more organizations awaken to the power generative AI holds for building software, this guide can light the way.
Few practices stand to benefit from today's generative AI boom more than software development. Prompting GenAI systems to create code reduces repetitive processes and accelerates production cycles, freeing developers to focus on new, higher value projects.
The upside is likely a big reason why 78% of developers surveyed by Stack Overflow said they were using AI-assisted programming tools to save time on routine tasks. Excitement aside, developers face learning curves while using GenAI to create code.
Fortunately, Dell and NVIDIA have created this eBook, which follows a day in the life of a software developer whose team is tasked with conceptualizing a proof-of-concept (PoC).
When Sam, an early career programmer, arrives at the office Monday morning she opens Jira and learns that her IT leadership team has requested a PoC sketch for a mobile shopping application.
Building such a PoC could take multiple workdays but Sam knows that with the help of the company's coding assistant, named Clarion, she can quickly produce a mockup while minimizing mistakes. With her plan in mind, Sam begins prompting Clarion:
You're a software developer. Please write a sample function for a mobile shopping app. Choose the most optimal language, such as Java or Python, to build the app.
Sam watches her screen as Clarion instantly produces credible code that would have taken her an hour or more to write and refine. Clarion elected to write the code in Java, a choice Sam approves of given its track record of success in mobile app development.
Going the extra mile in case leadership wants broader functionality, Sam prompts Clarion to connect the script via an API call to the Shopify mobile shopping service. Again, Clarion produces the code in seconds.
But how does Sam know if the code is clean enough to work? She could pore over it line by line but not today. Sam asks Clarion to test and validate the code:
Pretend you're a quality assurance tester. Execute a quality assurance test for the mobile app shopping script above. Be sure to debug the script and validate the code. Explain your work.
Clarion quickly produces a debugging script and executing code validation. Moreover, knowing that documentation is a critical proof point for PoCs—or really any software development enterprise—Sam asks Clarion to document the entire technical process.
Clarion does so in seconds. Reflecting on the process, Sam realizes that streamlining such tasks reduces the cognitive workloads on developers while enhancing overall code quality.
Although Sam is excited by the potential of Clarion to turbocharge productivity for her IT organization, she is also pragmatic. As impressive as the output is, it's just the start. Leadership will expect a storyboard, wireframe and user interface schematics to flesh out a minimum viable product.
She and her team must also check Clarion's work, consistent with her organization's guidelines for ensuring a human remains in the loop throughout the development process.
Regardless, Sam huddles with her developer team, they check the code in and present the PoC to leadership. They are impressed by all the team accomplished in such a short time.
Sam's scenario presents a snapshot of the potential productivity impact of GenAI. And as coding assistants advance, they will likely create a flywheel leading to more breakthroughs in AI—and corresponding productivity boosts.
In time, McKinsey expects GenAI will alter the software development lifecycle, improving product quality while freeing teams to spend more time on higher-value work, including innovation that improves the user experience for internal stakeholders or customers.
Regardless of the path organizations choose to take using GenAI to augment software development, they will need trusted expertise to help pick use cases, as well as robust technology infrastructure on which to deploy them.
Dell Technologies and NVIDIA can help your organization leverage AI to drive innovation and achieve your business goals. The Dell AI Factory with NVIDIA delivers capabilities to accelerate your AI-powered use cases, integrate your data and workflows and enable you to design your own AI journey for repeatable, scalable outcomes.
From NVIDIA accelerated computing, software and networking technology to Dell servers, storage and professional services, the Dell AI Factory with NVIDIA helps organizations achieve the optimal outcomes from their AI use cases.
As GenAI reshapes the software development landscape, is your organization ready to seize on this shift?
Learn more about the Dell AI Factory with NVIDIA.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
TechCrunch
4 hours ago
- TechCrunch
Building More Scalable GenAI Applications for Startups and Developers
In this TechCrunch Sessions: AI event, Oracle shares a rundown of how MySQL HeatWave empowers you in building AI-based solutions in areas such as personal productivity, automating workflows for compliance, service, or support, and increasing efficiencies in healthcare, among others. By leveraging HeatWave's built-in vector store, in-database LLMs, in-database machine learning capabilities, and massively parallel processing architecture, teams can develop richer GenAI applications that incorporate real-time data, advanced personalization, and complex retrieval-augmented generation techniques without the need for separate, specialized databases or complex ETL processes. This approach simplifies the GenAI development stack, accelerates time-to-market, and allows startups and developers to focus on innovation rather than infrastructure management, ultimately enabling the creation of more powerful, responsive, and scalable GenAI solutions. And for the rest of our Sessions: AI programming, check out our playlist here.
Yahoo
4 hours ago
- Yahoo
Analyst sends message on Nvidia stock after private dinner with CFO
Analyst sends message on Nvidia stock after private dinner with CFO originally appeared on TheStreet. Making a tech company successful isn't easy. Keeping it successful is even more difficult. A company that launches a successful product in huge demand can easily become complacent, giving competitors an opportunity to enter its space. Don't believe me? Just think of Nokia and BlackBerry's reactions to the launch of the iPhone. Great companies don't allow the competition to out-innovate; so far, that's been true of Nvidia. Nvidia's CEO, Jensen Huang, has shown an uncanny knack for knowing when it's time to pivot or innovate, such as recognizing that the key to its success wasn't simply fast semiconductor chips, but software too. 💵💰Don't miss the move: Subscribe to TheStreet's free daily newsletter 💰💵 For instance, early on in the video gaming era of the company, it was all about graphics card drivers. Nvidia's release of the CUDA software development kit in 2007 sparked a significant shift by enabling general-purpose parallel programming on GPUs. In layman's terms, CUDA made it possible to write applications that can "crunch the numbers" on many GPU cores, making calculations much faster than on the CPU. This technology enabled Nvidia to capture the market quickly, and due to CUDA's proprietary nature, switching to competing products was difficult. Its success in super-fast chips and software eventually allowed it to exploit the crypto boom successfully, as crypto miners flocked to its solution to mine digital currencies more efficiently. More recently, that advantage has also allowed it to profit handsomely from the boom in artificial intelligence - after all, CUDA supports neural networks. Of course, it hasn't all been smooth sailing for Nvidia, including this year. The company is under pressure because of export restrictions on selling its AI chips in China. Nvidia released its earnings for Q1 fiscal 2026 on May 28, and while they reported revenue of $44.1 billion, with an impressive yearly growth of 69%, the release also contained a note that worried some investors. The U.S. government announced it would require a license to export Nvidia's H20 chip to China, making Nvidia unable to ship an additional $2.5 billion worth of H20 products during restrictions are expected to weigh down Nvidia's results in Q2. Still, management's fiscal second quarter outlook remains impressive: Revenue is expected to be $45.0 billion, plus or minus 2%. GAAP gross margins are expected to be 71.8%, plus or minus 50 basis points. Following the earnings report, Nvidia and Dell announced they are building a supercomputer for NERSC, a U.S. Department of Energy user facility at Berkeley Lab. Investing expert James "Rev Shark" DePorre, recently wrote on TheStreet Pro "Nvidia is the driving force behind the infrastructure needed for AI. It dominates the semiconductor market and is at the cutting edge of innovation." More Nvidia: Analysts issue rare warning on Nvidia stock before key earnings Analysts double price target of new AI stock backed by Nvidia Nvidia CEO shares blunt message on China chip sales ban For him, Nvidia seems like a safe bet, despite its China headwinds. Bank of America Global Research Media recently hosted Nvidia CFO Colette Kress and VP IR Toshiya Hari for an investor dinner alongside VP/GM of Hyperscale and HPC Computing Ian Buck for a keynote session in San Francisco. At the dinner, Bank of America says Nvidia addressed three key issues: Blackwell rack ramp/execution AI Diffusion and sovereign demand China AI shipmentsNvidia's Latest-gen GB200 NVL rack-scale systems are fully ramping as of June 5, with Blackwell well on track. In fiscal Q1, Blackwell Ultra represented about 70% of compute sales. Blackwell Ultra production will begin in fiscal Q2 for a second-half volume ramp. Also, its next-gen Rubin/Feynman solution is also on track for an annual product cadence. Third-party estimates suggest 5 to 7 gigawatts of data center capacity will be installed this year. As a result, Nvidia's data center opportunity should be worth between $250 billion and $350 billion, with a current pipeline of approximately $175 billion. "We view NVDA's relationship with hyperscalers as symbiotic, offering a steady stream of compute capability that is both planned ahead and well-executed," wrote analyst Vivek Arya. "Post the H20 export restriction and write-offs, China is now fully de-risked for NVDA, with no China-related sales in their current Data Center forecasts," the analyst continued. "Meanwhile, the lift of AI Diffusion Rules opens access to sovereign AI for NVDA, offering opportunity whether directly through sovereigns, or through CSPs/neoclouds/enterprises investing on their behalf." In conclusion, BankofAmerica's analyst, stated: "We maintain buy, a top sector pick with a $180 PO as we believe NVDA remains best positioned to benefit from the ongoing AI tide, supported by a multi-year lead in performance (AI scaling), pipeline, incumbency, scale, and developer support"Analyst sends message on Nvidia stock after private dinner with CFO first appeared on TheStreet on Jun 6, 2025 This story was originally reported by TheStreet on Jun 6, 2025, where it first appeared. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
4 hours ago
- Yahoo
Prediction: This Artificial Intelligence (AI) Stock Will Be Worth $3 Trillion in 5 Years
The proliferation of AI in the smartphone, PC, and data center markets, among others, is providing a massive tailwind for foundry giant Taiwan Semiconductor Manufacturing. A huge addressable market and the company's improving share in the Foundry 2.0 space are likely to lead to stronger revenue growth over the next five years. 10 stocks we like better than Taiwan Semiconductor Manufacturing › Taiwan Semiconductor Manufacturing (NYSE: TSM) is one of the most important players in the global semiconductor industry, as it fabricates chips for many of the top fabless chipmakers and consumer electronics giants. The Taiwan-based powerhouse holds a dominant 67% share of the global third-party foundry market; second-place Samsung (which also produces its own chips in-house) has just 11% of the third-party foundry space. Moreover, TSMC's foundry market share has risen steadily from 58% a couple of years ago to where it is now. Looking ahead, the growing demand for artificial intelligence (AI) chips could provide tremendous upside for TSMC, sending its market cap well above its current level of just over $1 trillion. Indeed, I believe TSMC could triple its market cap in the next five years. TSMC's advanced processing nodes are being used by numerous companies, including Nvidia, Broadcom, Marvell, AMD, and Apple, to fabricate AI-capable chips that go into data centers, personal computers, and smartphones. This puts TSMC firmly at the center of the trend of growing adoption of AI across multiple end markets. According to one estimate, the global AI chip market could clock annualized growth of 35% through 2033 as the technology filters through to more applications. TSMC itself is forecasting that its revenue from selling AI accelerators designed by the likes of Nvidia, AMD, Broadcom, and Marvell could register a compound annual growth rate in the mid-40% range over the next five years. Throw in the proliferation of AI in other technologies such as smartphones, PCs, vehicles, and the Internet of Things (IoT), and it becomes obvious that this chipmaker is on track for terrific and sustained growth. For instance, according to a forecast by research firm shipments of generative AI smartphones and PCs are expected to grow at a compound annual rate of 35% through 2029, and the deployment of AI in the automotive industry is expected to grow at a similar rate. Not surprisingly, TSMC is investing aggressively to upgrade its chip manufacturing and packaging capacity to make the most of the rising AI-driven demand in the semiconductor market. It is on track to invest a total of $165 billion in the U.S. alone to build advanced chip fabrication facilities, packaging plants, and a research and development center. In all, TSMC is going to build 24 new factories across the world. These capacity investments should also allow it to maintain its dominant stature in the foundry market. TSMC management pointed out last year that its total addressable market (TAM) under the Foundry 2.0 definition stood at $247.5 billion. It points out that Foundry 2.0 also includes packaging, testing and assembly, and other ancillary markets apart from chip manufacturing. Market research firm IDC estimates that the Foundry 2.0 market will clock 11% growth in 2025 -- nearly double its growth rate last year -- and reach $298 billion in revenue this year. TSMC's share of this market is expected to grow to 37% in 2025 -- a big jump over the 28% share it was sitting on a year ago. Looking ahead, IDC expects the Foundry 2.0 market to clock a 10% compound annual growth rate through 2029. That would bring the Foundry 2.0 market's annual revenue to $436 billion at the end of that period. TSMC could go on to capture a bigger share of this market in the next five years because of its aggressive capacity expansion, as well as the technological advantages it enjoys over rival foundries, which allow it to produce faster and more power-efficient chips for its customers. If we assume that TSMC could increase its Foundry 2.0 share to 60% after five years (which doesn't seem difficult considering the pace at which its market share is increasing), its annual revenue could hit $262 billion. That would be almost three times its 2024 revenue. The stock is trading at almost 11 times sales right now. If it's trading at a slightly higher sales multiple in five years, it would crack the $3 trillion market cap. And the market could easily decide to reward TSMC with a premium valuation considering that its sales look likely to increase at a faster pace over the next five years than they did over the previous five. Before you buy stock in Taiwan Semiconductor Manufacturing, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Taiwan Semiconductor Manufacturing wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,395!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $858,011!* Now, it's worth noting Stock Advisor's total average return is 997% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Apple, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and Marvell Technology. The Motley Fool has a disclosure policy. Prediction: This Artificial Intelligence (AI) Stock Will Be Worth $3 Trillion in 5 Years was originally published by The Motley Fool
