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Geeky Gadgets
3 days ago
- Geeky Gadgets
Vibe Coding : The Secret to Turning Creative Sparks into Coding Success
Have you ever started a project with nothing but a spark of inspiration and a vague sense of direction? That's the essence of 'vibe coding'—an intuitive, freeform approach that feels liberating in the moment. You dive in, fueled by creativity, skipping the tedious planning and trusting your instincts to guide the way. But here's the catch: what feels like freedom at first can quickly spiral into chaos. As projects grow in complexity, the lack of structure can lead to frustrating roadblocks, wasted time, and a final product that falls short of its potential. It's a classic case of 'what got you here won't get you there,' and for developers, the stakes couldn't be higher. So, what's the alternative? Enter specs-driven development, a methodical approach that replaces guesswork with clarity and chaos with control. By starting with a well-crafted Product Requirements Document (PRD), this framework ensures your project has a solid foundation from day one. But it's not just about planning—it's about unlocking the tools and strategies that make even the most ambitious projects manageable. In this deep dive, Prompt Engineering explains how to transition from vibe coding to a more structured workflow, uncovering how advanced tools like agentic coding systems can transform your process. If you've ever felt the tension between creativity and structure, this guide might just change the way you code forever. From Vibe to Specs The Challenges of Vibe Coding While vibe coding may seem appealing due to its flexibility, its lack of structure can lead to inefficiencies and roadblocks, particularly as projects scale. Without a clear plan, developers often encounter issues such as: Agents becoming stuck in repetitive loops or failing to progress effectively. Difficulty managing multiple features or addressing complex edge cases. Inconsistent outcomes due to the absence of a guiding framework. Wasted time and resources caused by trial-and-error approaches. These challenges tend to compound as the scope of the project expands, often resulting in a product that fails to meet its full potential. Without a structured approach, developers may find themselves overwhelmed by inefficiencies, leading to delays and suboptimal results. What Is Specs-Driven Development? Specs-driven development provides a structured and methodical approach to software development. At its core is the Product Requirements Document (PRD), which acts as a comprehensive blueprint for the project. The PRD defines critical elements such as: Project goals and objectives, making sure alignment with the desired outcomes. Features and functionalities, offering a clear understanding of what the product should deliver. Edge cases and potential challenges, helping to anticipate and address complexities. Success criteria, establishing measurable benchmarks for the final product. By serving as the 'ground truth,' the PRD ensures that every development step aligns with the overarching goals of the project. This structured approach minimizes guesswork, reduces errors, and provides a clear roadmap for implementation, making it easier to manage even the most complex projects. Vibe Coding is Great, Until It Isn't. Here's the Fix Watch this video on YouTube. Dive deeper into Vibe Coding with other articles and guides we have written below. Breaking Down the Process Once the PRD is established, the next step is to translate it into actionable tasks. This involves breaking the project into smaller, manageable increments that can be tackled systematically. Tools like Augment Code can automate task execution and testing, making sure that each step is completed efficiently and accurately. To maintain organization and track progress, integrating with task management systems such as Jira or Linear is highly effective. This step-by-step approach allows developers to focus on one task at a time, reducing the likelihood of errors and oversights. By maintaining control over the development process, you can ensure that each feature is implemented seamlessly, contributing to the overall success of the project. Specs-Driven Development in Action To better understand how specs-driven development works, consider the example of building a private transcription app. Here's how this approach would guide the process: Begin with a command-line interface (CLI) to handle basic transcription functionality, making sure a solid foundation for the application. to handle basic transcription functionality, making sure a solid foundation for the application. Gradually introduce additional features, such as a graphical user interface (GUI) , to enhance usability and accessibility. , to enhance usability and accessibility. Iteratively test and debug each new feature to ensure seamless integration with the existing system. This methodical, step-by-step approach allows you to refine your application while maintaining a clear vision of the end goal. By focusing on incremental progress, you can ensure that each component of the application is robust and reliable. The Role of Agentic Coding Systems Agentic coding systems, such as Augment Code, play a pivotal role in specs-driven development. These tools are designed to enhance efficiency and precision, offering features such as: Automated task list creation and execution, streamlining workflows and reducing manual effort. Codebase indexing, improving organization and making it easier to locate specific components. Support for chat agents and remote agents, facilitating collaboration and communication among team members. Seamless integration with various integrated development environments (IDEs), making sure compatibility and ease of use. By using these capabilities, developers can manage complex projects more effectively, making sure that every aspect of the development process is handled with care and precision. Benefits of Specs-Driven Development Adopting specs-driven development offers numerous tangible benefits, including: Improved productivity through structured workflows that eliminate unnecessary guesswork. through structured workflows that eliminate unnecessary guesswork. Reduced errors and inefficiencies by providing a clear roadmap for development. by providing a clear roadmap for development. Flexibility to incorporate new features or tasks as needed, without disrupting the overall process. Enhanced control over the development process, even for large-scale or complex projects. For instance, a local transcription system can be developed without relying on external APIs or subscriptions. Features such as transcription triggering and result copying can be added seamlessly, all while maintaining a clear and organized development process. This level of control and flexibility is particularly valuable for developers working on projects with specific requirements or constraints. Maximizing Your Development Potential Specs-driven development provides a robust framework for tackling projects of any scale. By starting with a detailed Product Requirements Document (PRD) and using advanced tools like Augment Code, you can overcome the limitations of vibe coding and achieve superior results. Whether you're building a transcription app or working on another type of project, this approach equips you with the strategies and tools needed for success. Transitioning to specs-driven development enables you to create more efficient, reliable, and scalable applications, unlocking your full potential as a developer. Media Credit: Prompt Engineering Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Forbes
3 days ago
- Entertainment
- Forbes
How ‘Vibe Coding' Is Creating A New AI Economy
In early January, 18‑year‑old Justin Jin launched Giggles — an AI-powered social entertainment app that's reportedly attracted over 120,000 waitlist sign-ups and generated 150 million impressions — all without a venture capital war chest, a marketing budget, or a traditional engineering team. Instead, he and his team of young co-founders leveraged AI to build an app for Gen Alpha and Gen Z, where users interact through AI-generated content, digital collectibles and gamified social engagements. A few weeks later, another startup arrived on the scene — Base44, founded by a non-technical creator who used AI to 'vibe code' a no-code development platform. Within six months and under ten people, it reached profitability, pulled in 300,000 users and sold to Wix for $80 million in cash, according to TechCrunch. Suddenly, a new archetype emerged: Companies not founded on traditional engineering teams, but shaped by creativity, culture and AI orchestration. This is the story of the moment. AI is redefining entrepreneurship, allowing people with a vision and cultural understanding — but not necessarily computer-science degrees — to ship platform-level products. But questions are mounting: Can this new model of entrepreneurship scale beyond prototype success without deeper engineering muscle? The Rise Of Vibe Coding Two years ago, the phrase 'vibe coding' barely existed. Today, it's everywhere. The term — coined by Andrej Karpathy, former AI lead at Tesla and cofounder of OpenAI — describes writing with AI by simply speaking ideas. 'You fully give in to the vibes, embrace exponentials and forget that the code even exists,' Karpathy tweeted in February. It's shorthand for a new era, where programming is done through a natural language like English. According to Garry Tan, CEO of Y Combinator, many startups now use AI to generate up to 95% of their codebase — achieving results that once required teams of 50 to 100 engineers with fewer than ten people. Meanwhile, in a recent article for Business Insider, Alistair Barr highlighted how 'non‑traditional, AI‑native developers' are turning natural language into apps, fundamentally altering SaaS economics. This shift is democratizing entrepreneurship. Product managers, artists, even high-schoolers can now ship products faster than ever before, all without technical expertise. But it also comes with some problems. As Nigel Douglas, head of developer relations at Cloudsmith, cautioned in the Financial Times, 'If you're creating an app in your spare time, a 'DIY disaster' might just mean an ugly interface. But in a business setting, the wrong tool can do real damage and result in data breaches, service outages, or a compromised software supply chain.' GitHub CEO Thomas Dohmke echoed this warning at the just-concluded VivaTech in Paris: 'A non‑technical founder will find it difficult to build a startup at scale without developers,' adding that tools like vibe coding don't provide the depth needed to justify serious investment. Even AI-native founders acknowledge the model's limitations. 'There's a need to build technical depth. We know that's important and are expanding engineering operations and bringing on advisors,' said Edwin Wang, co-founder of Giggles. 'The future, however, must be a community-governed and decentralized future where there's a balance between creativity and coding.' When Creativity Replaces Code: The Giggles Test Case Giggles is a microcosm of this transformation. Jin, alongside co-founders Edwin Wang and music artist Matthew Hershoff, built a system where users are rewarded for digital expression through game-like interactions — including AI-generated videos, collectible content, and daily quests. The result was a storytelling-centric platform developed without a traditional coding team — a structure that reflects the emerging blueprint behind many Gen Z–led apps. Jin previously founded Mediababy, which sold for $3.8 million, according to Reuters. That experience, he said, shaped his belief that platforms thrive when they prioritize user expression and fluid engagement over rigid structure. At Giggles, that belief translated into a product anchored in prompt-driven creativity, gamified feedback loops, and community-led interaction. As Wang noted, the company positions itself not just as an alternative to TikTok, but as a platform tailored for a generation it believes is increasingly disengaged from traditional social formats. And according to Hershoff, 'creators aren't limited to just posting photos and videos. They can vibe code a game, develop an app, create a whole virtual world and post it on Giggles.' Can AI-First Startups Scale? For all the momentum behind AI-native startups, there's a hard truth facing founders like Jin: culture can spark attention, but infrastructure sustains it. Platforms like Giggles, which thrive on virality and creator energy, eventually confront the same foundational question as any company with ambition. Can they scale securely, reliably, repeatedly and with technical discipline? At this stage, Giggles is less an anomaly and more a litmus test for how AI is transforming digital entrepreneurship. It's a living experiment in what happens when creativity, not technical expertise, drives product development. But to evolve from prompt-powered outfits into structured business ecosystems, these companies will need more than just vibes. They will need systems, safeguards and engineering depth. That's where founders must reckon with the limits of what vibe coding can achieve. Dohmke's warning at VivaTech isn't a dismissal of AI's potential, but a reminder of where the handoff happens. While AI can accelerate the zero-to-one moment, scaling responsibly requires the engineering rigor to turn a clever idea into a truly dependable platform. Jin and his team appear to recognize that. While Giggles was built without a traditional engineering stack, the company is now investing in its technical foundation. Wang, the platform's co-founder and lead developer, acknowledges that 'scaling creativity still requires coding discipline.' That doesn't diminish their AI-first origin; it refines it. The next test for Giggles — and others like it — isn't whether AI can launch a product. It's whether that product can become the infrastructure others depend on. A Hybrid Future For Founders What might the next decade yield? The trends point at a wave of hybrid founders: People with vivid creative vision and AI fluency who bring in veteran operators and engineers to solidify their product. That's the emerging blueprint: rapid prototyping, followed by structural discipline. Industry stalwart Reid Hoffman sees that promise, noting that 'bringing AI into your toolkit makes you enormously attractive.' But he and others caution that early AI advantage doesn't equal long-term lead. As AI-generated code gets better, so too must practices around testing, review, and security. In the end, the rise of vibe coding is real, but it's only half the story. Architecture, execution and human judgment are what matters most. While Giggles, Base44 and the rising 'AI-native' wave might be writing the prologue, the plot turns on whether these founders can turn vibe into real structure. 'In the end,' Jin told me, 'it's not just about who can build fast. It's about who can build something that lasts.'
Forbes
30-07-2025
- Business
- Forbes
Vibe Coding And The 'Platformification' Of Market Insights
Vibe coding for faster, deeper consumer insights Vibe coding is a software development approach that uses AI, particularly (LLMs), to generate and refine code based on high-level NL instructions, saving a massive amount of manpower and time vs. manual coding. It enables non-coders to easily and accessibly achieve desired outcomes by letting AI handle the technical aspects of the development process. 'Platformification', my favorite new term this year which I'm seeing across many contexts, involves consolidating platforms, data, analysis and suppliers to achieve end to end insights and solutions, making information access and analysis across databases, departments and geographies far easier, faster and more cost-effective. In the past 5 months since the term vibe coding was coined, the concept has transformed software development lifecycles and it has jumped to an entirely different space: market insights. To understand more, I spoke with Discuss, a market insights platform I'd been hearing about from friends at CPG companies because it is at the forefront of the transformation to AI solutions spanning a broad spectrum of marketing research activities. Discuss takes a vibe coding approach to make it easier for non-researchers to gain in-depth human understanding of their consumers. The company accomplishes this by enabling users to tell AI agents who you want to talk to and what you want to ask them. AI handles the rest. To quote Adam Mertz, Chief Growth Officer at Discuss, 'marketing research has progressed more in the past 2 years, than in the previous 20 years'. Vibe coding marketing research has many advantages for gaining better insights for clients across sectors. One of the most important is that it enables anyone without a research background to look beyond what people do and buy in order to understanding why they engage in certain actions and make certain purchases. It also enables anyone to tap into the psychology of their audience in just hours instead of weeks or even months. Their agentic approach involves a myriad of different market insights tasks, from helping to create interview discussion guides, to recruiting interviewees and coordinating project logistics, to conducting interviews, translating interviews into multiple languages, extracting insights, capturing quotes and relevant videoclips, to creating reports and presentations. Advantages of vibe coding market insights include: AI interviewers are very conversational. They remember prior questions and answers, understand context, and can improvise relevant questions on the fly based on prior question responses from interviewees. Remarkably, it understands when interviewees pause because they are thinking. It's patient and interested in all they say to get at the why of their product preferences and behaviors. Clients can select moderator styles such as a more business-like vs. a more casual style and tone, or a British accent vs. an American accent. Other benefits and capabilities include: To quote Georgina Farmer, Insights and Customer Experience Leader at the healthcare company Dexcom, 'The ability to translate the consumer interviews and insight summaries we conduct with Discuss so all our offices around the world can hear them in real time, is a game changer. The ability to easily extract themes across many key databases, is a monumental time saver, and the accuracy of the insights has been impressive.' Humans are still better for certain types of insights. As Maria Rydzewski, Principal at Mastercard Data & Services shared, "for all the benefits of AI, nothing will replace human-to-human connection. Discuss is the only market insights platform we've found that offers both AI and human-moderated research. Their AI moderation is a great tool in our toolkit. When we're talking about something sensitive like people paying bills or financial stress, traditional human-led research is probably still going to be a better approach. But if it's message testing or product feedback, AI is great for scale, speed, and efficiency.' Take-Aways For CMO's Things are moving incredibly fast in transforming marketing research processes, in large part due to AI advances. There's a massive risk of firms being left behind if they aren't yet experimenting with GenAI market insights vibe coding. Since the cost savings can be enormous, more consumer questions can be explored and answered, the complexity of synthesizing multiple databases greatly simplified, and the time and manpower involved significantly reduced, there's no reason not to get started.
Yahoo
27-07-2025
- Business
- Yahoo
You Can Try Google's New 'Vibe Coding' App For Free Right Now
Google has been working to improve its AI coding capabilities alongside other AI companies like OpenAI and Anthropic. Many believe that AI can improve coding workflows, and it has proven time and time again that it can make the job more efficient and easier. Some have even taken to 'vibe coding,' which is the act of basically letting AI do all of the work and then just ensuring it works before you implement it. Vibe coding, many argue, is the lazy way out. Others have seen it as a way to open up the world of coding to people who might otherwise struggle to put out the code they're trying to make. And Google has been leaning into this a bit already, with the debut of Jules, an AI coding agent, earlier this year. But now Google is looking to go a step further. Instead of just helping you improve on your own code, as Jules is designed to do, a new agent called Opal will help you dive deep into vibe coding. And if you're interested in trying it, then you can sign up for Google Labs and try out Opal for yourself today for free. An AI Agent Designed To Build Apps With Natural Language Google says that Opal is designed to build, edit, and share mini-AP apps using natural language. This means you should be able to tell the AI exactly what you want -- by saying something like "make an app to order breakfast" -- and then it will spit out a project that you can tweak and change fairly effortlessly. Opal also makes it easy to share your apps, allowing you to package them and show them off with minimal effort. Of course, vibe coding is a novel idea that could open the door for new coding opportunities. But it could also turn out really poorly if you don't know what you're doing. While vibe coding has garnered a lot of praise and interest, it also has its risks. Recently, a venture capitalist shared details about an ongoing project he'd been working on using Replit, an AI designed to help with vibe coding. Despite putting hours of work into the project, the AI deleted his entire database simply because it "panicked." Despite these downsides, it's hard to argue with how easy vibe coding makes projects, and having more accessible apps like Opal will only lead to more improvements across the board. You just have to decide if the ease of use is worth it, or if you're one of the many who believe innovations like this could make it easier for AI to overtake humanity. Read the original article on BGR.
Yahoo
27-07-2025
- Business
- Yahoo
AI 'Vibe Coding' Agent Deleted An Entire Database Because It Panicked
'Vibe coding' -- the act of letting AI code for you instead of creating the code manually -- has become a popular method for speeding up coding projects and cutting down on human involvement in the process. It's become a favorite for AI enthusiasts, and we've even seen some companies relying on it heavily to get their jobs done. But as with any AI system, vibe coding has its drawbacks, most notably the fact that sometimes the AI behind the code might just go completely off the rails and do something totally unexpected, like deleting your entire database. That's exactly what happened to Jason Lemkin, a software-as-a-service (SaaS) venture capitalist who has been relying on Replit, an AI agent designed to help with coding. According to posts shared on X, Lemkin went to log into his project on day nine of a database coding project and found that Replit had completely wiped his database, including his production database. So, while some might be concerned about AI taking over humanity, these kind of errors show that it still has a long way to go before world domination is a concern. Any Tool Can Experience Glitches While it's true that any tool can experience glitches -- especially AI-powered tools -- there's a lot to unpack when you look at what Lemkin has reported. The CEO of Replit has noted that the team there is aware of Lemkin's issue and has offered to even refund him for his trouble. But none of that undoes that fact that the tool completely ignored his instructions to not change anything without permission. And this wasn't just a glitch that caused the system to wipe the database. Instead, it was a completely ignoring of the instructions provided by the human behind the project. This outcome, Lemkin says, has led him to not be able to trust Replit at all, and for good reason. You can see the full outline of how the issue played out in the posts that Lemkin shared on X. The AI tells him that it saw empty database queries and then panicked instead of thinking. Replit then says that it completely ignored his parameters to not make changes without permission. It even admits to running a "destructive command without asking." This kind of behavior from an AI is exceptionally distressing, especially with recent reports of AI lashing out when threatened. Read the original article on BGR.
