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Why are we doing this? The simple answer: We want to revolutionize software production. Millions of people have ideas—visions of software and applications that could improve their everyday life. At home, at work, in their hobbies. Some ideas are just for fun, while others have real impact. Companies, especially the ones with limited resources, struggle with the same challenges. For some, it’s not just about convenience—it’s about survival. They need the right tools, but buying software off the shelf is not always an option. It may be too expensive, too complex, or simply doesn’t fit their exact needs. ...

I have a vision. A dream of building an operational management system for organizations involved in sports worldwide. It is not a new idea. For years, I have planned it with a good friend of mine, someone deeply connected to sports on many levels. On top of that, he is an excellent coder and software designer. We have tested the idea and concept at the design level and even attempted to build prototypes. But due to the complexity of the idea, progress has been almost nonexistent. We realized early on that we would need an army of seasoned coders to make this a reality. ...

Last year Rolf, a longtime friend and trusted coder—someone I’d spent years frustrating with my grand visions and relentless demands—introduced me to a new concept: AI-assisted coding. He’d finally decided, with a mixture of amusement and relief, that I was ready to tackle coding on my own. Or at least, with the help of AI. A bold decision, considering my past as a corporate executive who had seen it all except for this. ...

Through the years, I have learned to appreciate the interplay of precision and simplicity in driving performance. Now, as I delve into the realm of AI-driven code generation, I find a striking parallel: the potential of AI to revolutionize software development is immense, but realizing this potential hinges on adhering to fundamental, well-defined guidelines—particularly when it comes to rule sets. The concept of rule sets—structured instructions to guide AI behavior—is hardly new. In theory, they allow us to shape AI output to align with project goals, coding standards, and specific methodologies. In practice, however, I’ve found that an overabundance of rules often complicates rather than clarifies. My experiences and observations through rigorous testing suggest that embracing minimalism in rule design can unleash the true capabilities of AI coding assistants. Here’s why. ...

I’m a 55-year-old former business executive with a passion for bridging the gap between technology and business. Over the past 30 years, I’ve dedicated my career to business development, new business models, and software integration, always striving to create cost-effective ICT solutions that maximize productivity and impact. One of the greatest challenges I’ve faced is fostering clear and meaningful communication between business leaders, end users, suppliers, and developers. This challenge has shaped my mission: to ease these barriers and help people and organizations produce and acquire software that truly matters. ...

Hi, I’m Rolf. Let me share a bit about my journey in technology. Growing up, I was surrounded by the fascinating world of computers. My mom was a pioneer in the 1960s, working with those massive, room-sized machines. By the 1980s, she was teaching others the emerging language of coding. At just 9 years old, she taught me to code, and I was not only playing games but also diving into their inner workings. Having a computer expert as a parent was a fortunate beginning to a lifelong journey in technology. ...

As an experienced corporate executive with decades of experience in software development, integrations, and new business model creation, I’ve seen technological revolutions come and go. But today marks a momentous occasion in my personal journey and our collective exploration of what’s possible when artificial intelligence meets software development. I’ve been privileged to participate in an ambitious start-up project that dives deep into the seemingly endless possibilities of AI in software creation. This initiative is not just about AI as an assistant but about turning it into a robust coder capable of handling real-world software development tasks. Over time, our talented team of developers has iterated through numerous versions of the tool, shaping it into something remarkable. ...

Unleash the Power of AI: Build Your Own Coding Assistant Ever dreamed of having a tireless coding partner that understands plain English and writes code for you? That’s exactly what a Coder Agent is - your personal AI-powered coding assistant that turns your ideas into working code. In this guide, I’ll show you how to create your very own Coder Agent using Python. Whether you’re a seasoned developer or just starting out, you’ll learn how to harness the power of Large Language Models (LLMs) to automate your coding workflow. ...

Welcome to Gadlet.com Welcome to the beginning of gadlet.com, a site dedicated to the fascinating world of coding assistants, with a special focus on our very own creation, Gadlet. Our Vision We are not accustomed to sharing in this manner - open and unfiltered. However, we believe this is the right approach. Transparency and collaboration are at the heart of innovation, and we want to invite everyone to join us on this journey. By fostering conversation and discovery together, we can push the boundaries of what coding assistants can achieve. ...