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vpods. · How VPods works
01 — Backlog
Work enters VPods with its title, context and priority.
OFD-14
Jira
VPods Tracker
Real work. Real context.
One task. One connected delivery workflow.
Live sprint · Teams · board · IDE · infra · preview
vpods.ca/studio/aether
Subscribe to the platform. Cancel anytime.
Trial
$25/mo
Startup
$199/mo
Scale
$1,199/mo
Scrum, engineering, DevOps, and QA in one subscription.
Hugo
Scrum Master
Knox
Backend Developer
Rae
Frontend Developer
Frank
Deployment Engineer
Priya
QA — system
0.2h
Sprint time
0/5
Stories done
+0
Commits
0
Cloud resources
The shift
From one prompt at a time to a backlog of instructions. Prompt tools wait for the next sentence. VPods takes a ranked board — then the pod works it alongside your engineers.
01
A single instruction. The tool answers, then resets.
02
The same intent becomes stories, owners, and points.
03
The pod works the board — not the next chat turn.
chat · one instruction
WaitingYou
Ship Aether: allocation letters for 38 hulls, a carbon-bronze configurator, staging VPC, visual tests, and GitHub Actions deploy.
Done. What's next?
_
One prompt. Then you write another.
VPods plugs into your backlog and augments your engineering pods with AI teammates that reason, communicate, build, test, deploy, and deliver.
From task assignment to production infrastructure, VPods doesn't stop at code generation. We take ownership of delivery.
L01 Communication · Teams: Collaborate, status, and ownership in Teams and Studio. L02 Integration: Backlog, Jira, GitHub — join the workflow you already run. L03 Reasoning: Assign and track tasks; reason through complex requirements. L04 AI: Inference on Bedrock or Azure AI Foundry — models that execute, not chatbox answers. L05 Code generation: Production code, build, and test. L06 Deployment cluster: Provision infrastructure, deploy workloads, promote across environments.
AI delivery workforce — built to ship
L01 → L06
Collaborate, status, and ownership in Teams and Studio.
Backlog, Jira, GitHub — join the workflow you already run.
Assign and track tasks; reason through complex requirements.
Inference on Bedrock or Azure AI Foundry — models that execute, not chatbox answers.
Production code, build, and test.
Provision infrastructure, deploy workloads, promote across environments.
Staff your pods. Accelerate delivery. Ship more.
2–10x more output — with the same team
Minutes to production — from ticket to production in minutes to hours
AI teammates — that own the work from ticket through delivery
Enterprise-grade security — permissions, auditability, and compliance built in
Full visibility — into work, delivery, quality, and AI cost
2–10xMore output
Deliver more features with the same team.
70–90%Faster delivery
From ticket to production in a fraction of the time.
30–60%Lower costs
Reduce engineering and infrastructure costs.
Higher quality
Built-in reviews, tests, and evidence at every step.
Our Mission
VPods makes it possible to add AI teammates to an existing delivery team in days — without the traditional recruiting and hiring cycle.
Our Virtual Pods bring specialized AI agents into the real workflow of software delivery. They take tasks from the backlog, contribute to development, testing, DevOps and Scrum, communicate with the team, and provide continuous delivery visibility.
We're not building AI to replace software teams. We're building a new workforce layer that helps developers, architects, QA, DevOps and product teams carry more of the work and ship more of what matters.
Virtual Pods. Virtual Agents. Real Teams. More Delivery.
A pod works your backlog alongside your engineers, so nothing sits in a queue waiting for bandwidth. Hiring stays a valid path — adding a pod is simply faster capacity.
Scale is $1,199 for a production pod (10 crafts, monthly VPods credits, 1 project). Extra crafts are $399/month each. Cloud optional. Jira required.
A new hire is months away. A VPods pod adds capacity to your existing team today, from $199/month — for the work that's been waiting in the backlog, not the people already doing great work.
Your team stays focused on what matters. The pod picks up the rest, so more of the backlog ships.
Adding a hire
Week 1–3
Write the req. Post. Wait.
Week 4–8
Screen. Interview. Loop.
Week 9–12
Offer. Notice. Onboard.
Valid path · ~12 weeks of wait
vpods.ca/pricing
ActiveAdding a pod
Solo · live today
Versus prompt tools
Others start with a prompt. VPods starts with assigned work on the backlog — specialized teammates, human review, and delivery.
Full comparison — Cursor, Copilot, GitLab, Rovo, VPods
Unit of work
Cursor / Copilot
Prompt / coding session
VPods
Task → Assignment → AI teammate → Review → Delivery
What you add
Cursor / Copilot
Speed for the person at the desk
VPods
Named-role AI teammates
Work starts from
Cursor / Copilot
A prompt or coding session
VPods
Backlog and assigned work
Operating model
Cursor / Copilot
A person prompts the editor
VPods
Assign tasks to specialized AI teammates
Full delivery
Shallow output
Slower to start
Faster to start
Traditional hire
Full depth, 12 weeks
VPods
Fast, full delivery
Cursor / Lovable
Fast, code only
Vercel v0
Fast, UI only
Capabilities
Specialized skills on your backlog — alongside the team you already have.
When it lands
aether.vpods.app
Working build
Test an idea with a real, working build — not a slide deck — in days.
aether.vpods.app
Click-throughGive stakeholders something they can click through, not just a pitch.
Put a pod on the board your engineers already run — no interview loop required.
Hiring
12 wk
Provisioned
Today
Keep recruiting. Add a pod for the work waiting on bandwidth.
Talk to your pod
Bring them into a Scrum meeting or a Teams channel. Hand them an instruction. It becomes tracked work, then a shipped feature.
The pod joins the room. Your engineers stay in it. The sprint moves at the speed of the conversation.
teams.microsoft.com · Aether stand-up
In meetingYou
Frank, staging VPC and CDN for Aether — folio assets on S3.
Frank
On it. Card is in progress — Terraform in the sprint lane.
You
Hugo, allocation first: thirty-eight hulls. Letter, or silence.
Hugo
Pulled. Backend owns allocation. Frontend takes the bronze configurator.
Knox
Hull counter is in. Letters issue only while series 38 has remaining.
Add AI teammates to the delivery team you already have — in days, not after the req closes.