{"id":880994,"date":"2025-10-29T02:09:03","date_gmt":"2025-10-29T02:09:03","guid":{"rendered":"https:\/\/www.capgemini.com\/be-en\/?p=880994&#038;preview=true&#038;preview_id=880994"},"modified":"2025-11-03T02:12:47","modified_gmt":"2025-11-03T02:12:47","slug":"from-prototypes-to-production-is-vibe-coding-ready","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/be-en\/insights\/expert-perspectives\/from-prototypes-to-production-is-vibe-coding-ready\/","title":{"rendered":"From prototypes to production: Is vibe coding ready?"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>From prototypes to production: Is vibe coding ready?<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2022\/07\/Jonathan-Kirk.jpg?w=200&amp;quality=10\" alt=\"Jonathan Kirk, Data Scientist, I&amp;D Insight Generation, Capgemini\u2019s Insights &amp; Data\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Jonathan Aston<\/h5><h5 class=\"blog-date\">Oct 29, 2025<\/h5><\/div><\/div><div class=\"brand-image\"><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/?p=1169055\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/?p=1169055\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><div class=\"article-text article-quote-text\">\n<h2 class=\"wp-block-heading\" id=\"h-vibe-coding-refers-to-the-practice-of-using-natural-language-prompts-to-generate-code-enabling-anyone-to-move-from-idea-to-implementation-with-unprecedented-speed\">Vibe coding refers to the practice of using natural language prompts to generate code, enabling anyone to move from idea to implementation with unprecedented speed.<\/h2>\n\n\n\n<p>While the promise of faster prototyping and shorter production cycles is compelling, the potential risks and drawbacks are equally significant. Trust, transparency, and control become harder to guarantee when humans no longer write or fully review code. Ensuring code is robust, reliable, scalable, and secure enough for production is another important consideration.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p style=\"font-size:18px\"><em>These concerns raise a critical question: can vibe-coding be trusted for full-scale software production?<\/em><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-from-prototyping-to-production\">From prototyping to production<\/h2>\n\n\n\n<p>Prototyping requires quick action to determine whether an idea is valuable. Whereas production involves a series of steps that include testing, infrastructure management, safe deployment strategy, monitoring, and more. Though AI can accelerate some steps, production ultimately depends on people and processes, not just technology.<\/p>\n\n\n\n<p>Vibe coding often falls short in production due to AI\u2019s lack of contextual understanding that human developers bring to their work. In situations where a human would instinctively avoid risk, like <a href=\"https:\/\/www.wiz.io\/blog\/leaking-ai-secrets-in-public-code\" target=\"_blank\" rel=\"noreferrer noopener\">deleting production databases<\/a> or <a href=\"https:\/\/www.wiz.io\/blog\/leaking-ai-secrets-in-public-code\">exposing secret information<\/a>, AI tools, in contrast, may act unpredictably. Such incidents highlight the critical need for oversight and guardrails when working with autonomous systems. Without them, even well-intentioned AI systems can introduce serious vulnerabilities.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p style=\"font-size:18px\"><em>So we ask the questions, is there a difference between testing human-generated code and AI- generated code?<\/em><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-when-ai-rewrites-itself\">When AI rewrites itself<\/h2>\n\n\n\n<p>Software development has long relied on static codebases where code is written, tested, and subsequently deployed, remaining unchanged unless a developer manually updates and redeploys it. Now, some vibe coding tools are introducing dynamic codebases capable of autonomously rewriting and redeploying code based on new inputs or evolving interpretations of their goals. This shift challenges foundational practices like <a href=\"https:\/\/best-practice-and-impact.github.io\/qa-of-code-guidance\/peer_review.html\" target=\"_blank\" rel=\"noreferrer noopener\">peer review<\/a> and <a href=\"https:\/\/www.coursera.org\/articles\/what-is-user-acceptance-testing\" target=\"_blank\" rel=\"noreferrer noopener\">user acceptance testing<\/a>.<\/p>\n\n\n\n<p><em>If the code can change itself, who reviews it and when? Can we trust automated systems that write and rewrite their own code to validate their own logic, especially as changes occur outside of human oversight?<\/em><\/p>\n\n\n\n<p>We&#8217;ve previously explored the importance of purpose and intent in autonomous systems, as well as how these shape emergent behavior. When a codebase becomes dynamic, it\u2019s the AI\u2019s interpretation of the system\u2019s purpose and intent that drives decision-making. Resulting behaviors may evolve with time, and the trajectory of their evolution depends entirely on how well the original intent was defined.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\" style=\"font-size:18px\">\n<p style=\"font-size:18px\"><em>Do we need more robust testing to not only test what the code can do today but also what it might be capable of being reprogrammed to do in the future?<\/em><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-building-confidence-in-autonomous-and-agentic-systems\">Building confidence in autonomous and agentic systems<\/h2>\n\n\n\n<p>These questions around trust, oversight, and responsible evolution aren\u2019t just unique to vibe coding, they\u2019re central to a broader conversation about autonomous and agentic systems. As AI tools begin to operate with more independence, the challenge shifts from simply verifying outputs to understanding how and with what intent decisions are made.<\/p>\n\n\n\n<p>Our whitepaper, <a href=\"https:\/\/www.capgemini.com\/be-en\/insights\/research-library\/business-meet-agentic-ai\/\">Confidence in autonomous and agentic systems,<\/a> outlines several critical dimensions for operating multi-agent systems and testing in this new landscape, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Desired emergent behavior<\/li>\n\n\n\n<li>Purpose and intent clarity<\/li>\n\n\n\n<li>Effective communication protocols<\/li>\n\n\n\n<li>Humility in decision-making models<\/li>\n<\/ul>\n\n\n\n<p>Throughout the white paper, we explore the transformative potential of autonomous and agentic systems, as well as the new challenges they present. Autonomous systems, of which many are being made using vibe coding, present significant opportunities across industries. But without the right technical, ethical, and organizational considerations in place, businesses can fail to successfully access these opportunities, or worse, cause true harm to their solutions, infrastructure, and customers.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/10\/Vibe-coding.png\" alt=\"\" class=\"wp-image-1169064\" style=\"width:600px\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-evolving-with-intent\">Evolving with intent<\/h2>\n\n\n\n<p>While vibe coding does offer undeniable advantages in terms of prototyping, speed isn\u2019t all that software developers should keep in mind. When it comes to production, the stakes are much higher. Code must be robust, secure, and aligned with long-term intent. Without clear oversight and thoughtful integration, dynamic code bases risk introducing instability into systems that demand reliability.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p style=\"font-size:18px\"><em>Are we pushing the user acceptance testing of emergent behaviors from AI systems onto the users themselves in production?<\/em><\/p>\n<\/blockquote>\n\n\n\n<p>The dimensions outlined in <em>Confidence in autonomous and agentic systems<\/em> provide developers with a framework for evaluating whether vibe coding tools are ready for more than just prototyping. Trust in production demands alignment, oversight, and a holistic understanding of a given system, and our whitepaper provides you with a framework for getting there. Though vibe coding may be ready for prototyping, whether it\u2019s ready for production depends entirely on how well we prepare the systems, and ourselves, for what will <a>come in the future<\/a>.<\/p>\n\n\n\n<p>AI Futures Lab We are the AI Futures Lab &#8211; expert partners that help you confidently visualize and pursue a better, sustainable, and trusted AI-enabled future. We do this by understanding, preempting, and harnessing emerging trends and technologies. Ultimately, making possible trustworthy and reliable AI that triggers your imagination, enhances your productivity, and increases your efficiency. We will support you with the business challenges you know about and the emerging ones you will need to know to succeed in the future. Build your AI advantage, layer by layer. Backed by extensive research and collaboration, we\u2019re best placed to help you navigate the AI landscape and establish AI solutions that herald a step change in how we can solve business problems, holistically. Engage with us \u2013 let us surprise you with our visionary mix of what\u2019s to come.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider\"><div class=\"container\"><div class=\"content-title\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Meet the author<\/h2><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/be-en\/wp-content\/uploads\/sites\/14\/2022\/07\/Jonathan-Kirk.jpg\" alt=\"Jonathan Kirk, Data Scientist, I&amp;D Insight Generation, Capgemini\u2019s Insights &amp; Data\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/jonathan-kirk-a1071951\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Jonathan Aston<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Data Scientist, I&amp;D Insight Generation, Capgemini\u2019s Insights &amp; Data<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/jonathan-kirk-a1071951\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Jonathan Aston specialized in behavioral ecology before transitioning to a career in data science. He has been actively engaged in the fields of data science and artificial intelligence (AI) since the mid-2010s. Jonathan possesses extensive experience in both the public and private sectors, where he has successfully delivered solutions to address critical business challenges. His expertise encompasses a range of well-known and custom statistical, AI, and machine learning techniques.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div><\/div><\/div><div class=\"slider-nav\"><button class=\"slider-prev inactive\" aria-label=\"Slider-previous\" tabindex=\"-1\"><\/button><ul class=\"slider-paginator\"><\/ul><button class=\"slider-next\" aria-label=\"Slider-next\"><\/button><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>Explore vibe coding and its impact on production. Understand the balance between speed and quality in software development.<\/p>\n","protected":false},"author":263,"featured_media":880995,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"_eb_attr":"","cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":true,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[406,321],"brand":[],"service":[],"industry":[],"partners":[],"blog-topic":[127],"content-group":[],"class_list":["post-880994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-artificial-intelligence","tag-innovation","blog-topic-innovation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Vibe Coding: The Future of Software Development - Capgemini Belgium<\/title>\n<meta name=\"description\" content=\"Explore the concept of vibe coding and its challenges in production. 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