FRONTEND · BACKEND · DB · AUTH
Complete Codebase
Frontend, backend, database layer, API routes, auth — all wired together and working
8080-ai-platform
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Guneet Bajaj
Guneet BajajCopy and clone 8080.ai platform and provide system design and development and same output.
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F(X) Data Labs · Agentic AI Factory
Skills for the factory
The Skill Store is where the platform's agent skills are browsed — the capabilities the Tech Lead, Architect, Frontend, Backend, DevOps, Designer, QA and AI Engineer agents draw on. Every skill is an artifact the factory produces, keeps, and reuses.
Browse skills
Skills are the capabilities the platform’s agents apply during a build — from the first architecture document to the merged pull request.
- 0109
Tech Lead
Directs the build, sequences parallel agent branches and steers each task toward a mergeable pull request.
- 0209
System Architect
Defines the system requirements document, microservice design, database schemas and API contracts before code is written.
- 0309
Project Manager
Turns the build plan into tasks and moves each one through To Do, AI In Progress, Human In Progress, Review and Done.
- 0409
Frontend
Builds the interface layer with live preview, syntax highlighting and IntelliSense in the browser-based VS Code editor.
- 0509
Backend
Wires API routes, auth and the database layer so frontend, backend and services are connected and working together.
- 0609
DevOps
Produces Dockerfiles, docker-compose and Helm charts, and deploys to Kubernetes staging and production.
- 0709
Designer
Shapes components and layout direction so generated screens stay consistent as the project evolves.
- 0809
QA
Runs visual testing, continuous QA and unit and integration tests, with 80%+ coverage as the target.
- 0909
AI Engineer
A dedicated agent for wiring model endpoints, APIs and data stores through the multi-model gateway.
Factory capabilities
Featured skills
Architecture-first artifacts
A system requirements document, microservice design, database schemas, API contracts and evolving component diagrams are laid down before code.
Branch-per-task with PR merging
Each task runs on its own branch; completed work is merged back through a pull request.
Security scan per task
Every task is scanned as part of the build, and security scans run before staging deployments.
Browser-based VS Code editor
Syntax highlighting, IntelliSense, live preview and an integrated terminal, running in the browser.
Dedicated AI Engineer agent
An AI Engineer agent wires model endpoints, APIs and data stores for the project.
Multi-model gateway
Model requests route through a single gateway rather than being wired to one provider.
Isolated workspaces and Kubernetes namespace
Every project runs in an isolated workspace with its own Kubernetes namespace.
Managed backend with auto-scaling
A managed backend on Kubernetes that auto-scales with the workload.
Visual testing and continuous QA
Visual testing and continuous QA keep tests running against the project as it changes.
Deployment to Kubernetes staging/production
Deployment to Kubernetes staging and production environments.
Persistent project memory
Project memory persists across sessions, so context carries from one build to the next.
Parallel execution across agents
Tech Lead, System Architect, Project Manager, Frontend, Backend, DevOps, Designer and QA agents work in parallel from architecture to code to deployment.
8080-ai-platform
Start building
The agentic AI factory is reachable through a free account.
F(X) DATA LABS · AGENTIC AI FACTORY
A team of AI engineers that build, test, document, and debug production-grade software — so you ship what matters.
Platform scale capabilities
Three agents · three branches
Three agents, three branches — merged by pull request
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
Human control at every gate
Work moves through five observable stages — from a queued task to a merged pull request — and nothing crosses a gate without a human decision.
To Do
A task is scoped and queued before any agent branch opens.
AI In Progress
An agent works its own branch — architecture, code or QA in parallel.
Human In Progress
You step in at the approval gate to direct, adjust or take over.
Review
The branch is opened as a pull request, scanned, and readied for merge.
Done
Merged to the project and carried forward in persistent project memory.
- To Do
- AI In Progress
- Human In Progress
- Review
- Done
Swipe to trace the flow →
Branch per task · Security scan per task · Merged by pull request
Output · Every task
What ships.
05 deliverables
UNIT + INTEGRATION
Test Suite
Unit and integration tests with 80%+ coverage
CONTAINERS · HELM
Docker & Kubernetes artifacts
Dockerfiles, docker-compose, Helm charts, health checks
API DOCS · README · ARCHITECTURE
Documentation
API docs, README, architecture overview
GITHUB ACTIONS
CI/CD Pipeline
GitHub Actions workflows for build, test, lint, deploy
Trust
Trust posture
Certifications & compliance05
- ISO 9001
- ISO 27001
- SOC 2
- GDPR-ready
- HIPAA-ready
Platform scale · recorded by 8080-ai-platform
Screens generated
Tokens processed
Countries served
Values as published by the platform
Freemium.Flat-cost models.
One price statement. No credit tables, no per-seat arithmetic.
PRICE / MONTHSTART
starting at$4.99 /month(flat-cost models)
Sign up for freeFlat-cost models · Freemium
COMPANY
Built by F(x) Data Labs, Inc, founded in 2016; 10+ years in AI.
Field notes
Reviews
Unavailable in source
Reviews
Reviews are not available yet.
Section · Contact
Contact
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
Who it’s for
Built for the people shipping software, not watching a demo — three audiences, one workflow of branches, review and approval.
- Developers
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
Founders who need production-grade applications without assembling an engineering department first, and who want to watch the work take shape.
- Operations leads
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
Features
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
How it works
One continuous line from your idea to running software — architecture first, agents in parallel, human review at the gates.Describe → Plan → Build → Ship
- 01You
Describe
State the idea in plain language — the website, SaaS app, chat or loop you want built.
- 02AI agents
Plan
Agents decompose the idea into architecture, tasks and milestones before any code is written.
- Architecture
- Microservices
- API contracts
- 03AI agents
Build
Parallel multi-agent execution across frontend, backend, infrastructure and tests.
- Frontend
- Backend
- Infra
- Tests
- 04Deployment
Ship
Dockerized, tested and documented — a production-ready deployment.
- Docker
- Kubernetes
Human-in-the-loop
Humans + AI
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.
ControlHuman approval gates
Agent roster
- Tech Lead
- System Architect
- Project Manager
- Frontend
- Backend
- DevOps
- Designer
- QA
F(X) DATA LABS · Operating principles
Why 8080
Four rules govern how the agents plan, build and hand over software — in that order, every time.
- 01POSITION
Opinionated, Not Rigid
- 02OBSERVE
Observable by Default
- 03SIGNAL
Fail Loudly
- 04ARCHITECT
Human-First Architecture
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