1import{j as e,L as r}from"./index-DrBPhjy5.js";import{L as n,h as c}from"./Layout-LwDNXt6D.js";import{S as d}from"./SectionHeader-oIYtrJ-D.js";import{C as m}from"./calendar-C-nyNUec.js";import{C as l}from"./clock-Buqt33y3.js";import{A as o}from"./arrow-right-lzRlWI_Y.js";import{C as h}from"./circle-check-big-NDcTPFF2.js";import{A as p}from"./award-BFqTHMk_.js";import{T as x}from"./target-CGL2tyWw.js";const a=[{id:1,title:"Building a Customer Portal in 2 Weeks with Vibe Coding",company:"ServiceTech Solutions",summary:"How a B2B SaaS company leveraged AI-assisted development to deliver a complex customer portal in record time.",challenge:"ServiceTech needed to build a comprehensive customer portal with real-time analytics, document management, and user permission systems. Traditional development would have taken 2-3 months.",solution:"Using vibe coding techniques with GPT-6.1, Cursor, and Supabase, a single developer was able to rapidly prototype, iterate, and deploy a fully functional portal in just 2 weeks.",results:["Reduced development time by 75%","Saved approximately $40,000 in development costs","Launched 6 weeks ahead of schedule","Customer satisfaction increased by 32% after launch"],tags:["B2B SaaS","Customer Portal","Analytics Dashboard"],logoSrc:"/placeholder.svg",imageUrl:"https://images.unsplash.com/photo-1519389950473-47ba0277781c?ixlib=rb-1.2.1&auto=format&fit=crop&w=1200&q=80",date:"2025-04-02",readTime:"10 min read"},{id:2,title:"From Idea to 10K Users: Building a Fitness App with AI Assistance",company:"FitTrack",summary:"How a solo founder used vibe coding to build, launch, and scale a fitness tracking app that gained 10K users in 3 months.",challenge:"As a solo non-technical founder with a limited budget, creating a feature-rich fitness app seemed impossible without a large development team.",solution:"By pairing with AI coding assistants and leveraging no-code tools integrated via API, the founder was able to create a user-friendly app with personalized workout plans, progress tracking, and social features.",results:["App built and launched in 6 weeks by a single person","Development costs reduced by 85%","Reached 10,000 users within 3 months","Featured in the App Store's 'New Apps We Love'"],tags:["Mobile App","Fitness Tech","Solo Founder"],logoSrc:"/placeholder.svg",imageUrl:"https://images.unsplash.com/photo-1581091226825-a6a2a5aee158?ixlib=rb-1.2.1&auto=format&fit=crop&w=1200&q=80",date:"2025-03-15",readTime:"12 min read"},{id:3,title:"Rewriting a Legacy System with AI: An Enterprise Success Story",company:"Global Finance Corp",summary:"How a large financial institution successfully modernized their legacy systems using AI-assisted development practices.",challenge:"A 15-year-old internal system with over 500,000 lines of code needed to be migrated from a monolithic architecture to a modern microservices approach, with minimal disruption.",solution:"Using vibe coding methods, a team of 5 developers leveraged AI to analyze the legacy codebase, understand complex business logic, and incrementally rewrite services with improved architecture and test coverage.",results:["Completed migration in 8 months vs. estimated 18 months","Improved system performance by 300%","Reduced infrastructure costs by 40%","Increased test coverage from 20% to 85%"],tags:["Enterprise","Legacy Migration","Microservices"],logoSrc:"/placeholder.svg",imageUrl:"https://images.unsplash.com/photo-1488590528505-98d2b5aba04b?ixlib=rb-1.2.1&auto=format&fit=crop&w=1200&q=80",date:"2025-02-28",readTime:"15 min read"}],u=({index:s})=>{const i=[c,h,p,x],t=i[s%i.length];return e.jsx(t,{className:"text-primary",size:20})},C=()=>e.jsxs(n,{title:"Vibe Coding Case Studies",description:"Real projects shipped with AI coding workflows â what worked, what failed, and the lessons learned.",canonicalUrl:"https://quick-code-launch.lovable.app/case-studies",children:[e.jsx("h1",{className:"sr-only",children:"Vibe Coding Case Studies"}),e.jsx("div",{className:"pt-10 pb-16",children:e.jsxs("div",{className:"container mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsx(d,{subtitle:"Success Stories",t
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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.