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One camp claims it can make anyone a millionaire by helping them build their first SaaS. The other says it is ruining the ecosystem, creating buggy, messy, and unusable code. Some time has passed, and we now have more data on the real results of this trend. So I can safely say neither camp is right. But neither is wrong.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(41, 42, 46)\">What is vibe coding?\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cu style=\"color: rgb(0, 102, 204)\">\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fdiscover\u002Fwhat-is-vibe-coding\" rel=\"noopener noreferrer\" target=\"_blank\">Google Cloud documentation\u003C\u002Fa>\u003C\u002Fu>\u003Cspan style=\"color: rgb(41, 42, 46)\"> defines vibe coding like this:\u003C\u002Fspan>\u003C\u002Fp>\u003Cblockquote>\u003Cspan style=\"color: rgb(41, 42, 46)\">Vibe coding is an emerging software development practice that uses artificial intelligence (AI) to generate functional code from natural language prompts.\u003C\u002Fspan>\u003C\u002Fblockquote>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">Earlier AI code generation, like the auto-completions from GitHub Copilot, showed the model your code and had it finish small pieces, such as one function. Vibe coding usually gives AI much more control. You prompt the expected output rather than the exact code.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">There is one more thing that defines vibe coding, and it is rarely mentioned: \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">vibe coding is not AI writing code, it is AI taking developer decisions,\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> designing and architecting implementations, connecting dots, and understanding requirements. It is \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">coding guided by natural language, flow, and core concepts rather than strict mastery of the framework.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">I think this is such a polarizing topic because it serves different purposes for different people, and it is very hard to see the other side of the coin. Having AI write lots of code on its own serves two groups. First, people with no developer skills who learn fast and want to build an \u003C\u002Fspan>\u003Cu style=\"color: rgb(0, 102, 204)\">\u003Ca href=\"https:\u002F\u002Fwww.wolfpack-digital.com\u002Fblogposts\u002Fscaling-mobile-apps-5-signs-you-ve-outgrown-your-mvp\" rel=\"noopener noreferrer\" target=\"_blank\">MVP\u003C\u002Fa>\u003C\u002Fu>\u003Cspan style=\"color: rgb(41, 42, 46)\">. Second, developers who face new technical challenges, need someone to validate their approach, or just want a good base to modify. But it is also tough to navigate, because it takes away some of your control.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(41, 42, 46)\">Vibe coding, but with (some) control\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">I talked to lots of people about AI-generated code lately. The number of experienced developers who build side projects or improve their skills with vibe coding is quite impressive. But that does not mean they all love it. The truth is, most people feel like they are giving in to chaos.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">For many of us, fully generated projects might still be hacky prototypes, full of console logs, over-engineered spaghetti code, and security holes. But with a bit of research and some coding knowledge, it can become something closer to \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">structured improvisation\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\">. There are nuances to the way we vibe code, just like there are to autopilot. For now at least, I feel it is easier to treat it like \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">Adaptive Cruise Control\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\">, where we still guide it and take over when needed, rather than full self-driving, where we are just passengers.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"color: rgb(41, 42, 46)\">Tips and tricks for vibe coding\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">In my experience, a few best practices can make your vibe-coded features or projects a lot safer. They cover everything from code quality to having fewer fears around security.\u003C\u002Fspan>\u003C\u002Fp>\u003Col>\n\u003Cul>\u003Cli>\n\u003Cstrong style=\"color: rgb(41, 42, 46)\">Know what you are building\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> — it is crucial to define the feature-set very well and have a clear idea of the final product. You can still use an AI to generate a Product Requirements Document, but do that separately, then feed it to the coding AI.\u003C\u002Fspan>\n\u003C\u002Fli>\u003C\u002Ful>\n\u003Cul>\u003Cli>\n\u003Cstrong style=\"color: rgb(41, 42, 46)\">Think more like architects\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> — we should design the structure of the application ourselves, using concepts we already know, best practices, and architectural patterns. This gives us control, and telling the AI how you want things structured usually yields much better code, like magic.\u003C\u002Fspan>\n\u003C\u002Fli>\u003C\u002Ful>\n\u003Cul>\u003Cli>\n\u003Cstrong style=\"color: rgb(41, 42, 46)\">Be a code reviewer\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> — even before the age of AI, we read far more code than we wrote, and generated code only amplifies that. We debugged, reviewed, and searched for how others implemented certain features. Now we have to do that even more. The result of a vibe-coded feature is not just manual testing of the outcome, but also a thorough code review.\u003C\u002Fspan>\n\u003C\u002Fli>\u003C\u002Ful>\n\u003Cul>\u003Cli>\n\u003Cstrong style=\"color: rgb(41, 42, 46)\">Divide et impera\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> — take things slowly, even if they seem simple. Split everything into smaller prompts. First develop, then write tests, or the other way around, but rarely together. If you need a feature that does some AI processing and exposes it via API, build the logic first and the API later. Bigger prompts with less information just raise the chance of hallucinations.\u003C\u002Fspan>\n\u003C\u002Fli>\u003C\u002Ful>\n\u003C\u002Fol>\u003Ch2>\u003Cspan style=\"color: rgb(41, 42, 46)\">Case study: coming back months later\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">A few months ago, I vibe-coded a side project. I wanted to learn how to implement Retrieval Augmented Generation (RAG) as a concept, so it seemed like a great idea. It was rather hands-off and quick, and I still learned the general architecture and paradigms for a RAG project.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">I only tested it locally, and it went fine. But a few months later, we wanted to promote the project and use it internally at Wolfpack Digital. Suddenly, it needed to be maintainable, deployable, and work far better than before. It also had to pass a more rigorous review.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">After going through this process, I want to share some learnings with you.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"color: rgb(41, 42, 46)\">What the AI got wrong\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">The project definitely worked overall, but it still had some misses. Luckily for me, because I applied most of the tips above, they fell into just two categories: either complete over-engineering or extreme over-simplifying.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">For an \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">over-simplification\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> example, my project needed to create embeddings from a dataset of multiple CSV files. One of the biggest things it forgot was that it created these embeddings on every single run. I picked up on this rather quickly and prompted it to save the embeddings. This was my first rodeo with this type of project, so it was easier for me to spot issues with memory, performance, and API than with actual RAG concepts. Its fix was to save the embeddings in memory, which again was not the best way. It worked locally, but we had to add a vector database as soon as possible.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">For \u003C\u002Fspan>\u003Cstrong style=\"color: rgb(41, 42, 46)\">over-engineering\u003C\u002Fstrong>\u003Cspan style=\"color: rgb(41, 42, 46)\"> examples, these are less specific but can be found far more often. I noticed that whenever you ask for a simple fix for a failing test or a weird bug, it has a small meltdown and starts refactoring. For example, I needed to migrate a third-party integration to a new account and a new API key. We were using the SDK rather than the API, but it did not cross my mind to mention that. After it could not find the API to change the authorization, it started rewriting the initialization to use the API, which was a huge overkill.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">But my overall experience was very good. I took things step by step and helped it structurally. The quality of the code was good, the outcome worked well, and the actual refactoring or review was minimal.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(41, 42, 46)\">Some conclusions\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(41, 42, 46)\">I think vibe coding is a great tool in the right hands. If you are building a side project or an MVP, it can be a great tool, but you must apply everything you know about coding to get the best out of it. For bigger projects, especially production-ready ones with a team that contributes, I would treat AI-generated code as a powerful tool, but a lot more like another team member who writes code. You need to review it thoroughly and behave like an architect or technical lead. If you plan to vibe code a feature, it is much better than starting from scratch, especially if you structured the project well in the first place.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>At Wolfpack Digital, we specialise in \u003Cstrong style=\"color: rgb(0, 102, 204)\">\u003Ca href=\"https:\u002F\u002Fwww.wolfpack-digital.com\u002Fservices\u002Fai-integration\" rel=\"noopener noreferrer\" target=\"_blank\">AI-native development\u003C\u002Fa>\u003C\u002Fstrong> and \u003Cstrong style=\"color: rgb(0, 102, 204)\">\u003Ca href=\"https:\u002F\u002Fwww.wolfpack-digital.com\u002Fservices\u002Fweb-development\" rel=\"noopener noreferrer\" target=\"_blank\">custom web development\u003C\u002Fa>\u003C\u002Fstrong> that balance cost-efficiency with high-quality results. In our 10 years of experience, we have shipped AI features and full products where senior engineers stay firmly in the loop.\u003C\u002Fp>\u003Cp>Whether you need a simple business website or a complex AI-powered platform, we will help you build a powerful online presence. Need a custom quote? \u003Cstrong style=\"color: rgb(0, 102, 204)\">\u003Ca href=\"https:\u002F\u002Fwww.wolfpack-digital.com\u002Fcontact\" rel=\"noopener noreferrer\" target=\"_blank\">Contact us today to discuss your project\u003C\u002Fa>\u003C\u002Fstrong>.\u003C\u002Fp>","vibe-coding-as-an-experienced-developer-lessons-and-case-study",[82,85,88,91,94,97,100,103],{"style":83,"url":84},"640","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F640\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":86,"url":87},"768","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F768\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":89,"url":90},"1024","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F1024\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":92,"url":93},"1366","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F1366\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":95,"url":96},"1600","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F1600\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":98,"url":99},"1920","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002F1920\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":101,"url":102},"thumb","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002Fthumb\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"style":104,"url":105},"original","https:\u002F\u002Fcdn.wolfpack-digital.com\u002Fstore\u002Fblogpost\u002F1171\u002Ffeatured_image\u002Foriginal\u002FVibe%20Coding%20as%20an%20Experienced%20Developer%20-%20Lessons%20and%20Case%20Study.webp",{"title":107,"description":108,"keywords":109,"contact_form:title":110,"contact_form:cta":111,"og:site_name":72,"og:type":112,"og:locale":73,"twitter:card":113,"twitter:site":74,"twitter:creator":74,"og:title":107,"og:image:alt":114,"twitter:title":107,"og:description":108,"twitter:description":108},"Vibe Coding as an Experienced Developer | Wolfpack Digital","A senior developer's honest take on vibe coding: where AI-assisted coding genuinely helps, where it falls short, and lessons from a real RAG case study.","vibe coding, ai coding tools, ai code generation, ai-assisted coding, vibe coding tips, wolfpack digital","contact us","send message","article","summary_large_image","Wolfpack Digital developer working at a desk with monitors in an open-plan office","Reading time: 8 min",32,[118,119,120],"software development","vibe coding","developer","Sep 26, 2025",[123,124],"mobile-development","web-development","2025-09-26T09:15:00.000Z","2026-07-02T07:07:06.581Z","Jul 2, 2026",[129,130,131,132,133],"Vibe coding means letting AI take developer decisions from natural-language prompts, not just autocompleting code.","In the right hands it is great for side projects and MVPs, but experienced review is what keeps it safe.","Best practices: know what you are building, think like an architect, review the code, and split work into small prompts.","A real RAG side project showed two failure modes: over-simplification (embeddings rebuilt every run) and over-engineering (needless refactors).","For production work, treat AI-generated code like another team member whose output you review as an architect or tech lead.",[135,138,141,144],{"answer":136,"question":137},"Vibe coding is an emerging software development practice that uses AI to generate functional code from natural-language prompts. Unlike simple autocompletion, it hands the model much more control: you describe the outcome you want and let the AI take design and implementation decisions, then you review and refine the result.","What is vibe coding?",{"answer":139,"question":140},"It can be, but only with strong human oversight. For production-ready projects with a team, treat AI-generated code like another team member's work: review it thoroughly, keep architectural control, and add tests. Skipping review is where buggy, insecure, or over-engineered code slips in.","Is vibe coding safe for production apps?",{"answer":142,"question":143},"Define the feature-set clearly before you start, design the architecture yourself, review all generated code carefully, and split the work into small, focused prompts. Bigger prompts with less context raise the chance of hallucinations and messy output.","What are the best practices for vibe coding?",{"answer":145,"question":146},"In a real RAG project, the AI over-simplified by rebuilding embeddings on every run and storing them in memory instead of a vector database. It also over-engineered simple fixes, rewriting a working SDK integration when only a small change was needed. An experienced developer caught both.","Where does vibe coding fall short?","2026-07-06T12:18:57.482Z",false,"https:\u002F\u002Fwww.wolfpack-digital.com\u002Fblogposts\u002Fvibe-coding-as-an-experienced-developer-lessons-and-case-study",[151],{"id":152,"author":153,"short_description":154,"role":155,"avatar_urls":156,"cover_urls":164,"linkedin_link":183,"instagram_link":44,"x_link":44,"meta_tags":184,"last_published_at":125,"same_as":188},14,"Victor Motogna","\u003Cp>Victor Motogna is the Head of Web Development at Wolfpack Digital, leading the web development team and driving innovation in scalable, secure web applications. With a Bachelor's in Computer Science and a Master's in High Performance Computing & Big Data Analytics, he brings deep technical expertise and a forward-thinking approach to building enterprise-grade solutions.\u003C\u002Fp>\u003Cbr>\u003Cp>As both a technical leader and hands-on contributor, Victor works across the full technology stack including Ruby on Rails, Vue.js, Nuxt.js, JavaScript, and Python, with extensive experience in DevOps frameworks and cloud infrastructure (Azure, AWS, Kubernetes). His role extends beyond traditional web development—he plays a key part in architecting AI-powered features, training machine learning models, and ensuring AI integration delivers genuine business value rather than following trends.\u003C\u002Fp>\u003Cbr>\u003Cp>Victor's leadership philosophy centers on balancing technical excellence with practical delivery. He excels at translating complex technical concepts into clear business language, architecting solutions that strike the right balance between technical sophistication and MVP speed, and staying ahead of rapid technological change. His approach emphasizes building stable, secure end-to-end solutions while constantly seeking smarter, more efficient development processes.\u003C\u002Fp>\u003Cbr>\u003Cp>A frequent speaker at technology conferences across Europe, Victor shares insights on modern web development practices, AI integration strategies, cloud architecture, and building high-performing development teams. 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Victor shares insights on scalable architecture, cloud infrastructure, and modern web development.","website",[183]]