Software Dept as a Service

Your AI-native software studio, running in its own VPS.

Spin up a dedicated department box where agents and sub-agents plan, code, deploy, and operate your product, with the workspace, policies, dashboards, assets, and live app all in one place.

Dedicated VPSPersistent workspace6 agents + 20 sub-agentsLive code editor + deployed appPolicy + budget controlsMore included
Dedicated VPS department box showing departments, agents, workspace, controls, and runtime layers.
Agents + Sub-agents vs. Static Departments

AI agents that run a company,
not just automate tasks.

Traditional companies rely on fixed departments like engineering, marketing, and sales. Tesfa models them as adaptive agent systems that allocate resources, make decisions, and evolve in real time.

Software Engineering Department

Product Manager Agent

Research Sub-agent
Spec Writer Sub-agent

Engineering Agent

Frontend Sub-agent
Backend Sub-agent
Integration Sub-agent

QA Agent

Test Runner Sub-agent
Bug Triage Sub-agent

DevOps Agent

Deploy Sub-agent
Monitor Sub-agent
Agent Configuration
Active

Engineering Agent

Engineering Department

Active
Persona
Senior Engineering Lead
Policy
Engineering Policy v1.2
Budget
$2,500 / month
Tools
GHNTSLFG+3
Rulebook
Engineering Rulebook
Calendar
Work hours - Mon-Fri
Sub-agents
RSSPFEBEQADV+
Current task
Implement authentication flow

Persona

Define how each agent communicates, thinks, and represents the department.

Policy

Set rules for approvals, risk, escalation, and company-specific behavior.

Budget

Give agents operating limits before they use tools or infrastructure.

Rulebook

Store the department's process, standards, preferences, and working agreements.

Tools

Choose which tools, files, services, and workflows each agent can access.

Request

Frontdesk Agent

Research

Product Agent

Spec

Product Manager Agent

Design

Design Agent

Build

Engineering Agent

Review

QA Agent

Test

Test Agent

Deploy

Deploy Agent

Operate

DevOps Agent

Software lifecycle

From idea to operational software,
in one department.

While most AI tools stop at generating code or interfaces, Tesfa focuses on the full lifecycle: idea, deployment, iteration, and real-world operation. The goal is not just to launch products, but to help them work, evolve, and succeed after launch.

Everything software needs in one place

The code, artifacts, assets, and app live here.

Task tracking, version control, communication, deployment, and monitoring are unified into one operational system.

No tool switching. No fragmented workflows. No glue between systems.

Department Workspace

Engineering Department

Code->
Test->
Preview->
Live
File tree
app
components
services
onboarding-flow.tsx
auth-callback.ts
preview-client.ts
deploy-preview.ts

onboarding-flow.tsx

Frontend Agent editing

Diff active

12+ export function OnboardingFlow()

13+ const preview = usePreviewStatus()

24 return <OnboardingScreen status={preview.ready} />

37~ replace legacy state handoff with preview hook

auth-callback.ts

Backend Agent editing

API update

08+ export async function handleAuthCallback()

14+ await persistSessionToken(payload)

21 return json({ linked: true, workspaceId })

29~ map preview state into callback response

deploy-preview.ts

DevOps Agent editing

Runtime sync

05+ await bootPreviewService('web')

11+ await waitForHealthcheck('api')

18 streamLogs('preview-environment')

25~ restart runtime after config diff

Live app preview

Updated seconds ago

Preview ready
preview.softdept.app
Open preview

Services running

webapi
Tests passing

Deploy logs

web | build updated 6s ago

api | health check passing

logs | streaming runtime events

Logs streaming

Task tracking inside execution

Tasks live where agents, code, and decisions are made, directly tied to implementation and progress.

Version control as system history

Every change is tracked in context, connecting code, decisions, and product evolution in one traceable flow.

Communication in context

Discussions happen where the work lives, with messages tied to tasks, code, and decisions.

Deployments as a workflow step

Build, test, and deploy from the same environment so shipping stays part of the system flow.

Monitoring that feeds back into build

Live system performance, errors, and usage insights loop back into development decisions.

Workspace

Every agent gets a workspace.

Plans, files, tasks, decisions, code, notes, and artifacts live together, so work persists beyond a chat thread and stays organized through calendar and kanban views.

Department workspace

Engineering Department

Persistent context

Current objective

Ship the billing workflow with approved code, live preview, decision trace, and release timing visible to the whole department.

Artifacts + documents

release-plan.md

Plan

Launch checklist updated 4m ago

qa-handoff.md

Review

Review notes from QA Agent

preview-feedback.md

Feedback

Live preview comments synced

api-contract-v2.md

Spec

Approved by Engineering Agent

Kanban tasks

Backlog

03

Billing callback contract

Product

Release note outline

Frontdesk

In Progress

02

Onboarding state refactor

Frontend Agent

Preview environment sync

DevOps Agent

Review

02

Auth acceptance checks

QA Agent

Approve release checklist

Eng Lead

Ready

01

Preview ready to publish

Preview

Calendar view

May 2026

Sprint calendar
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30
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1
Upcoming
09:30

Preview review

12:00

QA gate

16:30

Deploy decision

Artifacts, tasks, and schedule stay attached to the department.
Workspace synced across agents

Project operating system

Every project is an operating dashboard.

In Tesfa, a project is not just a codebase. It is a complete operational unit where finance, CRM, marketing, engineering, and operations live in one connected system.

Project finance viewCRM + usersMarketing layerEngineering scopeOperational logs
Project dashboard
Live system
Finance

Track cost, revenue, and resource usage per project in real time.

CRM

Users, clients, and stakeholders are connected directly to project activity.

Marketing

Campaigns and experiments are tied directly to product changes and releases.

Engineering

Code, tasks, and architecture live inside project boundaries tied to outcomes.

Operations

Track logs, incidents, and resource usage per project in real time.

Agents inside departments

Agents are the workers. The department is the operating system.

Assign specialized agents to a department so they can plan, build, review, support, and operate together.

Department container

Shared workspace online

5 agents linked

Shared workspace core

Software Engineering Department

Files, tasks, decisions, services, and activity stay attached to one operating context.

Product Manager Agent

Plans scope

Writing acceptance criteria

Docs, backlog, tickets

High confidence

Engineering Agent

Builds services

Implementing auth callback

Codebase, terminal, tests

Executing

QA Agent

Reviews output

Checking preview build

Preview, logs, diff

Verifying

Ops Agent

Runs services

Watching deployment health

Runtime, alerts, logs

Monitoring

VPS infrastructure

Private infrastructure for real operations.

Each user gets VPS-backed infrastructure where departments can run services, store work, and operate in isolation.

Dedicated runtime environment

Isolated data and services

Full control over deployed work

Storage and logs tied to the user

Runtime map

User account to dedicated VPS

Isolated

User account

Dedicated VPS

Department workspaces

Services

api, scheduler, preview

Deployments

3 active environments

Logs

streaming and retained

Storage

workspace and artifacts

Final CTA

Start running software as a system.

Join the beta and bring code, operations, and growth into one unified environment.

Join now

Limited beta access with the lifetime offer

Built for

Founders, software studios, and growing businesses

Own your data

Run everything inside your VPS

Setup

Automated setup and deployment. No toolchain required

The software factory

Build AI departments with agents, workspace, code, and infrastructure in one operating system.