Complete Codebase
Frontend, backend, database layer, API routes, auth — all wired together and working

F(X) DATA LABS · AGENTIC AI FACTORY
Contact
Reach the factory through its entry actions: create an account to start a build, or log in to return to your workspace.The source supplies no direct email, phone, or address.
Contact · Index 02
The platform publishes no direct email, phone or postal address. You reach 8080 through its entry actions — each one opens the place the work happens.
Create an account
Open a free 8080 account and give your first project to the agent team.
Sign up for freeReturn to your work
Sign back in to your workspace, your projects and their persistent memory.
Log inSee what the factory builds
Browse public projects built, tested and documented by the agents.
Explore public projects8080Built by F(x) Data Labs, IncFounded in 201610+ years in AI
Contact
The factory is reachable through a free account — create one and your workspace is ready.

F(X) DATA LABS · AGENTIC AI FACTORY
Three agents · three branches
Each task fans out across parallel agent branches. Every branch lands as a pull request, so the merge point stays a human-readable gate rather than a hidden hand-off.
Agentic flow · approval gates
Work moves through five observable stages — from a queued task to a merged pull request — and nothing crosses a gate without a human decision.
A task is scoped and queued before any agent branch opens.
An agent works its own branch — architecture, code or QA in parallel.
You step in at the approval gate to direct, adjust or take over.
The branch is opened as a pull request, scanned, and readied for merge.
Merged to the project and carried forward in persistent project memory.
Swipe to trace the flow →
Branch per task · Security scan per task · Merged by pull request
Output · Every task
05 deliverables
Frontend, backend, database layer, API routes, auth — all wired together and working
Unit and integration tests with 80%+ coverage
Dockerfiles, docker-compose, Helm charts, health checks
API docs, README, architecture overview
GitHub Actions workflows for build, test, lint, deploy
Trust
Certifications & compliance05
Screens generated
Tokens processed
Countries served
One price statement. No credit tables, no per-seat arithmetic.
starting at$4.99 /month(flat-cost models)
COMPANY
Field notes
Unavailable in source
Reviews
Reviews are not available yet.
This page carries no form, inbox or phone line. Every conversation with 8080-ai-platform begins at one of the two account entry points opposite.
F(X) DATA LABS · AGENTIC AI FACTORY
Signing up is the only step required before your first build.
Audience index
Built for the people shipping software, not watching a demo — three audiences, one workflow of branches, review and approval.
Teams who want the scaffolding, wiring and tests written for them — then review each branch as a pull request and keep control of the codebase.
Founders who need production-grade applications without assembling an engineering department first, and who want to watch the work take shape.
Leads who need the build observable end to end — approving at human checkpoints, reviewing before staging, and seeing what the agents are doing right now.
Agentic AI factory · Capabilities
Agentic AI factory to build a Website, SaaS App, Chat, or Loop.
Full VS Code in the browser, or the 8080 desktop extension.
Three agents, three branches — merged by pull request.
Branch-per-task with PR merging.
Security scan per task.
Managed backend on Kubernetes.
Flat-cost models.
A dedicated AI Engineer agent for wiring model endpoints, APIs and data stores.
Your own Kubernetes namespace per project.
Multi-model gateway.
Isolated workspaces.
Auto-scaling infrastructure.
Architecture-first: system requirements document, microservice design, database schemas, API contracts and evolving component diagrams.
Persistent project memory across sessions.
Workflow · 04 stages
One continuous line from your idea to running software — architecture first, agents in parallel, human review at the gates.Describe → Plan → Build → Ship
State the idea in plain language — the website, SaaS app, chat or loop you want built.
Agents decompose the idea into architecture, tasks and milestones before any code is written.
Parallel multi-agent execution across frontend, backend, infrastructure and tests.
Dockerized, tested and documented — a production-ready deployment.
Human-in-the-loop
Approval gates and human review controls preserve human control over agent work. The named AI agents act on behalf of the Platform User and surface their work for human review.
F(X) DATA LABS · Operating principles
Four rules govern how the agents plan, build and hand over software — in that order, every time.
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