Category: Artificial Intelligence

If you worked on web applications fifteen or twenty years ago, you remember SQL injection. You'd be doing a code review, spot a line where the user's input was being concatenated straight into a SQL query, and feel a small chill. You knew what could happen next. You'd file a bug, talk to the developer, and replace the concatenation with a parameterized query. Over time, the industry made SQL injection hard to get wrong. Frameworks handled queries for you. ORMs treated raw SQL as a thing to avoi…

Amazon experienced something that should give every technology leader pause. The company recently suffered multiple high-severity production incidents. These events were serious enough that Amazon's SVP of eCommerce Foundation, Dave Treadwell, convened a meeting of retail technology leaders to perform a "deep dive" into what went wrong. His internal memo described the incidents as having a "high blast radius." At least one was linked to AI-assisted coding changes. At roughly the same time, Ama…

The promise of AI coding tools has been nothing short of astonishing. AI will replace your need to hire software developers, and transform your existing developers into 10x engineers. According to this commonly believed view, AI will revolutionize software development productivity across the board, making the entire world better. But is this truly a potential reality? A new report from GitClear paints a very different picture. After studying over 2,000 developer-weeks of data, the report shows…

The promise sounds compelling: write what you want in plain English, let AI translate it into working code, and watch your application come to life in minutes instead of days.  This is "vibe programming”. Vibe programming is the practice of using AI to generate production code from natural language descriptions. Proponents claim it will democratize software development and reduce the need for traditional professional developers. The reality is far different and far more troubling. Vibe progr…

AI is everywhere. It’s on the news, in the boardroom, and on the lips of every product manager with a quarterly roadmap to fill. Whether the push comes from investor pressure, competitive FOMO, or just nervous executives who don’t want to be “left behind,” the demand for an AI strategy is real. And this demand is landing squarely on your desk. As a software architect, you’re right in the middle of this storm. Your job isn’t just to build systems; it’s to translate business goals into techni…

In this episode of the Software Architecture Insights podcast, we explore the evolving landscape of conversational AI with Kylan Gibbs, the CEO and founder of InWorld AI.  We focus on the evolving landscape of software architecture, focusing on the role of AI in modern applications. I think you'll enjoy this episode. Have a listen!

You’ve heard it many times: ““Sure, I Can Do That.”” AI always wants to be your friend. Ask an AI assistant for help and it’s quick to reply: “Sure!” “Absolutely!” “Of course I can do that!” And it really sounds like it can. The problem? Too often it can’t. And instead of saying, “I don’t know,” it just makes something up. “Confidently…“Politely…“And completely wrong.””” The “Yes, and…” Problem We’ve built AI systems that act like the world’s most agreeable intern. Always nodding, never cha…

It seems like AI has become suddenly important to Software Architects in nearly all industries. It’s the latest and greatest technology in a world of fast moving technologies. Actually, AI is not “suddenly” important. AI has been around for as long as software has been around, dating back as early as the 1950s. In the 1970’s, AI technology in the form of Lisp software systems, were believed to be a very promising but just a bit out of reach “silver bullet” solution to every problem. But the “si…

Welcome to the first episode of the Software Architecture Insights new podcast! The landscape of software development has notably transformed in 2024, with 62% of developers now leveraging AI in their workflows. While this integration has significantly boosted productivity, it has also raised concerns regarding code quality and complexity. The discussion reflects on findings from the recent 2025 GitClear AI Code Quality Research report, which analyzed over 211 million lines of code and reveale…

It's 2025. AI is no longer a novelty. It’s a fact of life. Generative AI models have matured, multimodal systems can process text, images, and speech relatively seamlessly, and AI-powered copilots have found their way into developer tools, office suites, and even design platforms. And yet… the hype hasn’t gone away. If anything, the AI hype is getting louder. Every product launch announcement now must include a phrase like “Now with AI!” Investors want to know what your “AI strategy” is. Com…

If you’ve ever spoken out to your iPhone and said “Hey Siri, what’s the weather in Seattle, WA”, or spoke to an Amazon Echo device and said “Alexa, turn on the bedroom lights”, you’ve given an AI a set of instructions for it to execute. You’ve given an AI a prompt. In the Alexa case, the phrase is converted from an audio snippet into text, and that text is sent to an AI system — Amazon Alexa in this case — for it to determine the desired actions. The output of that process is a set of actions …

The software development landscape has shifted dramatically. In 2024, a whopping 62% of professional developers use AI in their development process. This has done wonders for the productivity of an average software developer, and has led many people to assume this means that either we need fewer software developers or, more likely, we can get more and better software developed with existing staff. However, there are issues with this shift. Last year, I read and loved the 2024 GitClear AI repo…

As someone who has spent decades at the forefront of the tech industry, I've seen firsthand how emerging technologies can disrupt the status quo. With the rapid advancement of artificial intelligence (AI), it's natural to wonder about its potential impact on the job market, particularly for roles that rely on uniquely human skills. However, I believe that most human-centric jobs, including writers, actors, and lawyers, will not only survive but thrive in the age of AI. The recently released St…

In the rapidly evolving world of artificial intelligence (AI), getting caught up in the hype is easy. After all, computer intelligence appears poised to surpass human intelligence in every domain. However, despite the remarkable progress AI has made in recent years, there are still areas where humans maintain a clear advantage. According to Stanford University's AI Index report for 2024, AI systems continue to lag behind human performance in tasks that require complex cognitive abilities, such…

The world of artificial intelligence (AI) is undergoing a profound transformation, and at the heart of this change is the rise of open-source AI models. According to Stanford University's AI Index report for 2024, a remarkable 65.7% of the 149 foundation models released in 2023 were open-source, up from 44.4% in 2022 and 33.3% in 2021. This shift towards open-source AI is not just a passing trend; it's a movement that is redefining the very nature of AI development and deployment. Open-Source A…

GitHub has published research on the growth and impact of AI on software development. Among their findings is that developers write code “55% faster” when using the GitHub Copilot code automation tool. But this finding doesn’t tell the whole story. Is this code high-quality? Is this code necessary? Is the code contributing to the long-term value of our applications? Does the code contribute to the operation of the application in a clear and concise manner? In other words, is Copilot (and simil…