Cocoding.ai presents itself as an AI developer team in a box: a multi-agent system that takes a natural-language prompt and generates a full SaaS application, including backend, frontend and mobile clients, plus deployment and hosting. The idea is that non-technical founders and developers alike can describe the product in English, French, Arabic or many other languages, and let the platform synthesize architecture, business logic, APIs and UI into a production-ready workflow. https://cocoding.ai/
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In this interview from the Station F booth area at Web Summit Lisbon 2025, the team explains how Cocoding positions itself beyond typical “vibe coding” tools such as Lovable or Bolt. Instead of locking you into a single framework and a prototyping database, Cocoding separates frontend and backend, supports multiple programming languages and frameworks, and treats the result as a real full-stack system. Code, database schema and data belong to the customer, with enterprise-oriented guardrails and a focus on production deployment rather than disposable scaffolding.
The platform exposes a browser-based IDE with editor, terminal and live preview, wired directly to a cloud runtime. When a project is generated, it is deployed onto a Kubernetes cluster with autoscaling, so the same prompt-generated app can handle small traffic early on and grow with demand, while billing scales with the underlying infrastructure rather than just token usage. Developers can bind custom domains by pointing DNS to the assigned IP and use plans priced roughly in the range of a small VPS, bundling compute, storage and AI generation credits into a single monthly subscription.
Under the hood, Cocoding uses an agentic AI framework: multiple specialized agents benchmark and route tasks to whichever large language model performs best for a given sub-problem, instead of exposing model selection directly to end users. That same multi-agent pipeline can ingest API keys for services like Stripe or other payment providers, read documentation from the web and wire payments, authentication and external APIs into the generated backend while keeping PostgreSQL databases isolated from direct internet exposure behind application gateways, a design closer to conventional production architectures than many no-code tools provide.
The team stresses the “co-coding” philosophy: the goal is not to replace engineers but to let a small Paris-based startup feel like it has a 100-person development department, while still allowing human developers to review, modify and extend the generated code inside the platform or in their own repositories. They are bootstrapped, have recently entered programs like CDL Paris to scale the business side, and are working toward a roadmap that includes marketplaces for reusable apps, integrations with major clouds such as AWS, GCP, OVHcloud and Scaleway, richer collaboration features and more regional hosting footprints, all built around the same agentic AI development ecosystem.
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