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Why AI Can Be Risky for Non-technical Founders AI is like magic, particularly if one is not too invested in coding or product design. Yet with every AI application or feature that is machine-generated, one must remember that it is code – sometimes code that appears to function just fine but is rife with massive […]
Why Investors Care About Code Investors are not just backing your vision; they are indirectly inheriting your tech debt. They would like to know: • Is your product founded on shaky ground? • “Can your existing tech stack meet the scaling demands of your user base?” • Are there bugs or security holes lurking just […]
The Hidden Risk In Fast-Moving Startups Startups move fast-especially those experimenting with a set of AI tools like ChatGPT, GitHub Copilot, or other low-code/no-code platforms. But speed usually comes at the expense of code quality. Founders, especially non-technical ones, usually think that “if it runs, it works.” Unfortunately, that’s not true. The fact that code […]
The Hidden Risks of AI-Generated Code Whether you are a founder or CTO working with AI-generated code, this article is for you. In Appricotsoft, we have reviewed hundreds of AI-assisted MVPs and full-scale applications, and though AI coding tools like Copilot and ChatGPT speed up things, they consistently generate serious, and often subtle, problems that […]
Why AI Code Audits Are Now Essential You’ve probably seen the promises: “Ship your MVP in days, not months.” AI coding tools have made building faster than ever-but not necessarily better. Here is what we are seeing at Appricotsoft: • AI-generated code is often brittle, insecure, and disorganized. • Founders get a working prototype but […]
The Risks of Going Solo with AI Freelancers Going solo with AI freelancing It’s common to hire AI freelancers to do the initial work. It’s flexible, fast, and typically less expensive than hiring a team of developers to build a whole product. But let’s be clear on this, founders who are not technical don’t understand […]
The Unsung Role of Documentation You might think, “Why does documentation matter if the code works?” Well, herein lies the issue: undocumented code is like a map without labels. Sure, you might find your way eventually, but it’s going to be slow, error-prone, and expensive. Proper documentation helps: • New developers come on board more […]
The Illusion of “Free” Code It’s simple to get swept away by the allure of AI-created code that’s quick, inexpensive, and “good enough.” But the problem with all this is: • AI does not comprehend your business rules. • It doesn’t matter to AI how scalable your tech stack is. • AI is not verified […]
Why AI Produces Bad Architecture The AI can’t possibly understand your product vision, your business logic, your goals. It doesn’t know whether your application is going to require serving 10 users or 10,000. It simply wants to predict the next token to satisfy it. And this is the first issue. This is exactly what it […]
Why AI-Created Code Feels “Done” (But Isn’t) AI tools such as ChatGPT and Copilot are optimized to answer the question rather than ensuring long-term maintainability; they are optimized to solve the prompt, not solve your business problem. That means: • This code may “work”, but its often not secure, not scalable and not modular. • […]
Why Relying on AI Alone Can Break Your Product (and What to Do Instead) With the fast-moving development landscape today, AI tools like GitHub Copilot and ChatGPT are being heralded as a game-changer in coding productivity. They auto-complete functions, generate test scripts, and even scaffold entire apps in minutes. Sounds amazing, right? But here is […]
The Danger of AI-Generated Code Without a Technical Review AI-powered coding tools such as GitHub Copilot and ChatGPT are rapidly changing the way we write software programs. They make developers more productive, speed up prototyping, and enable startups to get to minimum viable products faster. Here’s a wake-up call: AI-generated code is not inherently reliable, […]