How Anything Uses Claude to Power a No-Code App Builder for 1.5M Users
Anything built a full-stack AI coding agent on Claude and the Agent SDK, enabling 1.5 million non-technical users to create production-ready software — from recruiting platforms to mobile apps — without writing a single line of code. In just five months, users shipped over 800,000 apps with a 91–96% agent success rate. Claude's reliable tool-calling, coding quality, and personality made it the clear choice for Anything's agent architecture.
Impact
800,000+
Apps created by users
91–96%
Agent success rate
1.5 million
Total platform users
1 day
Integration time
Single-page tools → full-stack multi-platform apps
Application complexity evolution
Challenge
Before Claude, Anything relied on fragile, multi-stage code generation pipelines that could only produce simple single-page applications, falling far short of the full-stack, production-quality software their non-technical users needed to build. The team needed a model capable of reliable multi-step tool calling, autonomous error correction, and consistent coding quality at scale.
Solution
Anything built a full-stack AI coding agent on Claude and the Claude Agent SDK that autonomously handles entire product-building workflows — including databases, backend logic, mobile deployment, App Store submission, and payment integration — enabling non-technical users to go from idea to published app without writing code.
Tools & Technologies
What Leaders Say
“It was unclear how to go from simple tools to something much deeper. Once AI models reached the level of reliable instruction following, parallel tool-calling, and consistent tool reliability, it became clear how it could fit into our stack and help us evolve from simple solutions to something that could support more complex product creation.”
“Claude models came out on top in those evaluations, so they became the best fit for our agent architecture.”
“Anthropic's specific focus around coding abilities is what drove Claude to the top for us. The warmth and personality of Claude models resonates with our users. That's why we default to Claude in the product.”
“Reliability at scale was also important, and that allowed us to focus more on building the agent and solving the full user job rather than just making the AI function.”
“There is a baseline level of quality needed to move from simple or single-page applications to multi-page, full-stack apps that integrate many libraries and cover a wide range of use cases. Claude helped us reach that level of quality, which allowed us to support much more complex applications and deliver a better overall user experience.”
“We're building toward agents that can work on multiple parts of a product simultaneously. We're just seeing the beginning. The apps our users build will start improving themselves.”
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Full Story
Anything was founded on a simple but ambitious premise: anyone should be able to build real software, regardless of technical background. Long before their current stack took shape, the team was experimenting with AI-assisted code generation — but the models they relied on were unreliable, prone to outages, and limited in scope. To compensate, engineers built cumbersome multi-stage pipelines that called separate agents to generate code and manually stitched outputs together, while RAG pipelines handled documentation lookups. The result was a system that could produce single-page applications but couldn't come close to the complexity of a real product.
The gap between a simple tool and a production-quality application — one with databases, backend logic, third-party integrations, and mobile deployment — was enormous. Serving a non-technical audience made the challenge even steeper. The agent couldn't just generate code; it needed to manage complex, multi-step workflows autonomously, recover from its own errors during long build sessions, and maintain consistent quality throughout. The team needed a model that could handle all of this reliably at scale before they could even think about improving the user experience.
After running structured evaluations across multiple criteria — instruction compliance, complex application generation, multi-round tool calling, error correction, and hallucination rates — Anything selected Claude as the foundation for their agent. Claude outperformed alternatives across all dimensions, and Anthropic's focused investment in coding capabilities was a decisive factor. Integration via the Claude Agent SDK took just one day, and Claude Opus 4.6's out-of-the-box performance was strong enough that the team skipped the weeks of iteration they'd typically budget for a new model. Claude now powers the core product-building agent, internal subroutines, and operational workflows including support, inbound sales, product feedback analysis, and codebase improvement via Claude Code.
The results have been transformative. In five months, Anything's users built more than 800,000 apps — many of them full-stack, multi-platform products with backends, mobile apps, API integrations, AI features, and monetization layers. The agent maintains a 91–96% success rate as measured by generation completion rates, agent self-reports, and in-product user feedback. Real users are shipping real products: a non-technical founder built and is actively selling PipelinePro, a recruiting ATS with AI interview bots and a client portal; a French film director launched a streaming app with voice-driven discovery; and a user with no engineering background published a social app to the App Store.
Looking ahead, Anything is building toward agents capable of massive parallelization and long-running autonomous processes. The team envisions a future where user-built apps become self-improving — with agents sophisticated enough to handle complexity that users previously had to manage themselves. For Anything, Claude didn't just improve their product; it unlocked an entirely new category of what their platform could deliver.