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

F(X) DATA LABS · AGENTIC AI FACTORY · ADMIN
Restricted to the Platform Builder/Operator — not your project teams. Every change here keeps platform behavior and output equivalent to 8080.ai.
Admin · Configuration
Defaults applied to every agentic build across the factory. Changes apply to new tasks after saving.
Org management
Assign owners, admins, and members across the organization. Every change is validated before it is saved.
6 members · tabular
F(X) Data Labs · Agentic AI Factory · Admin
Maintain the compliance posture of the platform. A disabled control reads as a gap until it is re-enabled and the posture is saved.
Enabled — quality management controls in placeQuality management system
Enabled — information security controls in placeInformation security management
Enabled — service organisation controls in placeService organisation controls
Enabled — data protection readiness enabledWorkspace isolation and compliance controls
Enabled — health data readiness enabledWorkspace isolation and compliance controls
5 of 5 controls enabled
Readout · platform_stats
The platform’s live scale figures, read from the shared platform_stats feed. Values are identical to the source records and are not editable here.
Feed connected · three records
SCREENS GENERATED
328,260
screens
TOKENS PROCESSED
1.310T
tokens
COUNTRIES SERVED
183
countries
Read-only log
Recent changes to platform configuration, recorded in order. Entries are written by the operator and cannot be edited here.
2026-10-2009:42:18UTC
Model gatewaychanged: changed the primary model endpoint
2026-10-1917:05:44UTC
Org roleschanged: assigned the AI Engineer agent to the members role
2026-10-1911:28:02UTC
Platform behaviorchanged: enabled the security scan gate before staging deployments
2026-10-1714:51:37UTC
Compliance controlschanged: turned on HIPAA-ready workspace isolation
2026-10-1508:16:09UTC
Model gatewaychanged: added a failover model for the multi-model gateway
2026-10-1216:33:21UTC
Platform behaviorchanged: set approval gates on the Human In Progress to Review transition
Operator actions · tabular timestamps
Return to workspace
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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