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State of AI Development: 34x growth in AI

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With the introduction of Large Language Models (LLMs), for the first time, Machine Learning (ML) and Artificial Intelligence (AI) became accessible to everyday developers.

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BlogsHow Zinus Saves $140,000+ and Cuts Development | ReplitReplit BlogsReplit Enterprise, Now Self-ServeReplit BlogsUnlocking a New Way to Build Enterprise Data AppsReplit BlogsSo you suspect you have a memory leak... | ReplitReplit Blogswith Solidity on ReplitReplit BlogsRecapping the SPC-Replit AI HackathonReplit BlogsAnnouncing native TypeScript support for Netlify FunctionsNetlify BlogsFrom semantic CSS to Tailwind - Refactoring the Netlify UI codebaseNetlify BlogsWill AI Speed Development in Your Legacy App?Honeycomb Products & ServicesHow to write a game design documentGitbook BlogsState of AI 2025: How Developers Are Adopting AI Coding Tools - NeonNeon ResourcesIssue propertiesLinear ResourcesCustomer RequestsLinear NewsGwen Shapira on the Power of Event-Driven ArchitectureThenewstack News12 Critical Kubernetes Health Conditions You Need to MonitorThenewstack NewsReport: What's New in ECMAScript and JavaScript for 2020Thenewstack NewsKubernetes and the Challenge of Adding Persistent StorageThenewstack BlogsState of Agentic AI Report: Key FindingsDocker Blogs3 Software Developer Trends You’ll Hear About at DockerConDocker BlogsDocker Engine 1.10 Security ImprovementsDocker