8080.AI

8080.AI

8080.AI is an agentic software-building platform where teams of specialized AI agents turn a one-sentence idea into deployed, Kubernetes-hosted production applications.

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AI Agentai-app-builderai-workflowpricing:freemium
Last Updated Oct 21, 2026
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About

8080.AI is an agentic software development platform that takes a one-sentence product idea and turns it into a running, deployed application. It addresses a common problem in AI-assisted coding: individual code suggestions rarely produce complete, maintainable systems. 8080.AI instead runs more than ten specialized AI agents modeled on a real engineering team, including a Tech Lead, a System Architect, a Project Manager, frontend and backend engineers, and DevOps roles.

The workflow is structured in nine gated steps. A user describes an idea, the platform writes requirements, maps user flows, produces clickable designs, and generates a blueprint and task plan before any agent starts coding. Each task runs in an isolated cloud workspace through a six-phase pipeline and merges into the repository by pull request, with a security scan performed on every task. The finished app is deployed with a managed backend — API, database, authentication, and storage — inside its own Kubernetes namespace. The vendor says agentic coding on the platform scales to 100 million tokens, with agents able to run for hours on production-grade code.

Key Features

Multi-agentic coding team: More than ten specialized agents (tech lead, architect, PM, designer, frontend, backend, DevOps) divide work like a real engineering organization, running tasks in parallel on separate branches merged by pull request.
System Architect Agent: Produces architecture and multiple diagrams before code is written, so the project starts from a defined, scalable structure rather than ad-hoc generation.
Managed backend on Kubernetes: Every application receives a real backend — API, database, authentication, and storage — running in its own isolated Kubernetes namespace, with horizontal auto-scaling on higher-tier plans.
Visual testing and replay: AI-driven testing inspects the running app the way a user would, verifying screens and flows before tasks reach staging.
Integrated code editor: A full VS Code editor runs in the browser, with a VS Code desktop extension available, supporting multiple languages and frameworks.
Visual design editing: Users can click any element in a generated design and adjust text, fonts, colors, and borders in an inspector; direct visual saves write to the code and consume no credits.
Human and AI collaboration: Built-in organization management, multi-developer collaboration, and a Kanban board let humans and agents hand tasks back and forth, with human approval gates at every stage.

Pricing & Fees

  • Pricing: A Free plan is available forever at no cost with no credit card required, giving roughly 55 credits per month (10 on signup, 5 per day for four days, then 1 per day). Paid plans are Standard at $4.49/month (400 credits), Plus at $25/month (5,000 credits), Pro at $250/month (50,000 credits), and Unlimited at $1,499/month. Credit top-ups cost $0.0146 per credit on the free tier, with discounts of 23% on Standard and 66% on Plus and Pro.
  • Hosting usage rates: Compute is billed per plan tier, for example $0.0452/vCPU-hour and $0.0117/GiB-hour of RAM on the free plan, dropping to $0.0155/vCPU-hour and $0.004/GiB-hour on Plus and above; disk is listed at $0/GiB-hour.
  • Compliance posture: The site references ISO 27001, SOC 2, and HIPAA-readiness, and an Enterprise tier offers custom onboarding, security review, and dedicated support.
  • Public project gallery: A gallery of public projects is available for browsing, and the site reports platform activity figures including screens generated and tokens processed.

Who It's For

8080.AI targets several distinct groups. Non-technical founders and business owners can describe a product in plain language and approve each stage without writing code. Professional developers can work inside a real VS Code environment, review pull requests, and collaborate with agents on shared boards. Data scientists and teams shipping AI features benefit from the dedicated AI Engineer agent that wires model endpoints, APIs, and data stores into working software. Enterprises get organization management with owners, admins, and members plus governance options on the custom tier.

FAQ

What is 8080.AI?8080.AI is an agentic platform where teams of specialized AI agents build, test, and deploy production-grade software from a one-sentence description, with human approval gates at every stage.

Is there a free plan?Yes, the Free plan costs nothing forever and requires no credit card, providing about 55 credits per month (10 on signup, 5 per day for four days, then 1 per day), with paid plans starting at $4.49/month.

Do I need to write code to use 8080.AI?No; non-technical users can approve requirements, user flows, and designs visually, while developers can jump into a full browser-based VS Code editor and review agent pull requests.

How does 8080.AI handle security?Every task's isolated workspace is scanned for leaked secrets and API keys, vulnerable dependencies, and unprotected API routes before it can reach staging, and each task runs in its own isolated Kubernetes namespace.

Can humans and AI work on the same project?Yes, the platform includes a Kanban board where tasks move between AI and human states, so a developer can take a decision mid-task and hand it back to an agent for completion and review.