What is 8080.ai?
8080.ai is a cutting-edge platform that empowers developers and enterprises to build scalable, production-grade AI agents capable of handling up to 100 million tokens. Designed for agentic coding, it enables the creation of Kubernetes-ready projects that run for hours, delivering robust and reliable code. The platform leverages advanced AI models, including Gemini 3.5 Flash, to generate complete B2B SaaS applications like DemoCraft AI, which automates the creation of tailored software sandboxes for sales prospects. With a focus on scalability and production readiness, 8080.ai integrates seamlessly with modern tech stacks such as Next.js, FastAPI, PostgreSQL with pgvector, and Docker for containerization. Its multi-tenant architecture ensures strict data isolation, with every table including an org_id foreign key. Key features include a RAG ingestion API for uploading and chunking documents, generating embeddings via Google's text-embedding-004, and storing them in PostgreSQL for efficient vector similarity search. The AI generation engine uses Gemini 3.5 Flash with Pydantic-structured outputs to produce customized sandboxes based on user inputs like prospect industry and technical requirements. Authentication is handled via Clerk or JWT-based multi-tenant auth, and monetization is supported through Stripe subscription billing. Use cases range from sales enablement and demo automation to rapid prototyping and enterprise software development. Technical details include support for Helm charts for Kubernetes deployment, ensuring easy scaling and management. 8080.ai is ideal for teams looking to accelerate development cycles, reduce manual coding, and deliver high-quality, production-ready applications with minimal overhead.
Use Cases
Key Features
scalable AI agents 100M token capacity agentic coding Kubernetes ready projects RAG ingestion API vector similarity search multi tenant architecture Pydantic structured outputs Docker containerization B2B SaaS generationWho is it for?
developers, enterprises, sales teams, platform engineers, AI engineers, SaaS builders
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