FRONTEND · BACKEND · DB · AUTH
Complete Codebase
Frontend, backend, database layer, API routes, auth — all wired together and working
8080-ai-platform
by
Guneet Bajaj
Guneet BajajCopy and clone 8080.ai platform and provide system design and development and same output.
Comments (0)
Sign in to leave a comment
F(X) DATA LABS · AGENTIC AI FACTORY
Humans + AI
The platform’s AI agents act on your behalf and surface their work for human review at every approval gate. Nothing ships without your decision.
Human Review
Agents act. Humans decide.
The named AI agents — Tech Lead, System Architect, Project Manager, Frontend, Backend, DevOps, Designer, QA and AI Engineer — are system actors working on behalf of the Platform User. They surface their work for human review, and approval gates and human review controls keep human control over agent work.
Rejection returns with feedback. A rejected task goes back to its prior state carrying the reviewer’s notes.
Review ledger
Agents act
The multi-agent system executes in parallel across three branches from architecture to code to deployment.
Humans review
Work is surfaced at approval gates for review and approval before it moves forward.
Humans decide
Approval moves work forward. Rejection returns a task to its prior state with feedback.
Agent Roster · 8080-ai-platform
The team that acts for you
These agents are system actors, not human personas. They act on your behalf inside the workspace and surface their work for human review before anything moves forward.
09Named agents
Tech Lead Agent
Sets the technical direction and reviews the work of the other agents before it moves forward.
System Architect Agent
Defines the system requirements document, microservice design, database schemas and API contracts before code is written.
Project Manager Agent
Breaks the build into tasks and tracks each one through its branch and pull request.
Frontend Agent
Builds the interface inside the browser-based VS Code editor with live preview as it goes.
Backend Agent
Writes the server logic, database layer and API routes that the frontend calls.
DevOps Agent
Packages the project into its own Kubernetes namespace and ships it through staging toward production.
Designer Agent
Works alongside the Frontend Agent on the visual and component layer of the interface.
QA Agent
Runs visual testing, continuous tests and the security scan on every task before it is ready for review.
AI Engineer AgentDedicated AI Engineer
Wires model endpoints, APIs and data stores so the built application has models to call.
Architecture-first
System Architect Agent designs scalable architecture automatically before code is written. The multi-agent system then executes in parallel across three branches, merged by pull request.
Approval gates · Kanban flow
Human control at every gate
Every task moves through five stages. You make the call at the gates. Rejecting a task returns it to its prior state — with your feedback attached.
To DoAI In ProgressHuman In ProgressReviewDone
GateAI work stops at Human In Progress until a human reviews and decides.
- To Do
To Do
Work queued into a branch-per-task, waiting for an agent to pick it up.
Queued
- AI In Progress
AI In Progress
Agents build, test and document in parallel, each task on its own branch.
Agents working
- Human In Progress
Human In Progress
The work is in front of you — inspect the branch, review changes, decide.
Your gate
- Review
Review
Approval gates and security scans run before anything merges or deploys.
Checks running
- Done
Done
Merged by pull request and shipped to the Kubernetes staging or production.
Merged
Observable by default
Agent work is surfaced for review rather than hidden. Watch it run, review what it produced, decide what moves forward.
01 · Watch
Watch
Agent activity across three parallel branches is visible while it happens.
02 · Review
Review
Per-task security scans and test results are shown before work moves on.
03 · Decide
Decide
Approval gates preserve human control over what ships.
- Fail LoudlyAgent, scan, and deployment failures are surfaced with retry.
- Human-First ArchitectureHuman decisions gate the work.
- Observable by DefaultWork is surfaced for review.
The browser-based VS Code editor lets you inspect and adjust agent output directly.
Get started
Start building
The factory is reachable through a free account. Create one to open your workspace, or log in to return to it.
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
No comments yet. Be the first!