Agent-native delivery for real engineering teams
Pyvo captures requirements from stakeholders, turns them into engineering-ready plans, coordinates manager, architect, and engineer agents, and keeps human review at the center of the delivery loop.
Implement team billing with Stripe
Integrate Stripe billing with usage-based metering for team workspaces
Write e2e tests for billing flow
PYV-101
Define subscription schema + migrations
PYV-102
Stripe webhook handler
PYV-103
Build pricing page UI
PYV-104
Usage metering service
PYV-105
Checkout flow component
PYV-106
Integration: sync usage to Stripe
PYV-107
How It Works
From stakeholder request to merged code
Pyvo bridges the gap between what stakeholders need and what engineers can deliver—without replacing either.
Stakeholder captures request
A product manager, ops lead, or business stakeholder creates an issue. Pyvo's product manager agent asks clarifying questions until the requirement is clear enough for engineering.
Agent-ready brief generated
The vague request becomes a structured, reviewable engineering brief. Or, an engineer brings a detailed implementation plan directly.
Agent team executes
Manager, architect, and engineer agents coordinate to break work into child issues, create branches, write code, and open PRs—all in approved repos and sandbox profiles.
Human engineers review and merge
Engineers stay in control: review plans, inspect agent output, provide feedback, request reruns, and merge when ready. No code ships without human approval.
From vague request to engineering-ready brief
The product manager agent asks targeted questions to uncover requirements, edge cases, and constraints that stakeholders often forget to mention—turning a one-line request into a complete specification.
Structured clarification
The agent asks questions in logical groups, building context incrementally until the requirement is complete.
Stakeholder to implementation
The generated brief moves straight into implementation so engineering joins with a working branch and concrete code already in motion.
Minutes, not meetings
Async conversation replaces hour-long kickoff meetings. Stakeholders answer when convenient.
We need to add team billing to the app. Customers have been asking for it.
I'd like to understand the billing requirements better. A few questions:
- 1Should billing be per-seat, usage-based, or a flat team rate?
- 2Do you need to support multiple pricing tiers (e.g., Starter, Pro, Enterprise)?
- 3Should team admins be able to manage billing, or only the account owner?
Usage-based with a base fee. Three tiers: Free, Pro ($49/mo + usage), Enterprise (custom). Team admins should manage billing.
Got it. A few more details to clarify the scope:
- 1What usage metric should we track? API calls, storage, compute minutes?
- 2Do you need prorated billing for mid-cycle plan changes?
- 3Should we integrate with an existing billing provider like Stripe?
Track compute minutes. Yes to proration. Use Stripe—we already have an account.
Thanks! One final question: Should usage alerts notify users before they hit limits, or only after overages?
Notify at 80% and 100% of their plan limit.
Implement team billing with Stripe
Integrate Stripe billing with usage-based metering for team workspaces
- Three pricing tiers: Free, Pro ($49/mo + compute usage), Enterprise
- Usage tracking based on compute minutes consumed
- Prorated billing for mid-cycle plan changes
- Team admin role can manage billing settings
- Usage alerts at 80% and 100% of plan limits
- Stripe integration using existing account
Features
Built for engineering teams, not demos
Pyvo rejects generic project-management sprawl. No roadmaps, sprint planning, story points, or portfolio reporting in the core product.
Human review at the center
Engineers retain ownership of repositories, review standards, traceability, and merge decisions. No code ships without explicit approval.
PR-native execution
Work flows through branches and pull requests. PRs carry implementation context, agent notes, review history, and can be rerun or amended.
Agent team coordination
Manager, architect, and engineer agents share context, decisions, and implementation findings while coordinating dependencies and parallel work.
Domain-specific team instructions
Create team profiles with domain-specific instructions for manager, architect, engineer, and reviewer agents across products and repositories.
Feedback-aware agents
Agents continuously learn from engineer feedback, review comments, rejected approaches, and accepted fixes so they improve on future work.
Flexible execution environments
Run Pyvo-hosted or inside your own cloud account. Configure repos, branches, tooling, model access, and resource limits for each environment.
Model and deployment control
Choose the model and where execution runs
Pyvo lets engineering leaders choose the right model family and execution boundary for each team, repository, and task.
Model choice
Sonnet, Opus, and GPT models are first-class options.
Sonnet
Fast, cost-aware execution for routine feature work, review loops, and follow-up fixes.
Opus
Deeper reasoning for architecture, planning, migrations, and high-risk implementation work.
GPT models
OpenAI model support for teams that standardize on GPT or want model diversity by task.
Pyvo-hosted
A fully managed execution environment for teams that want Pyvo to handle runner operations, upgrades, isolation, and observability.
- Fastest setup
- Managed infrastructure
- Centralized support
Customer-managed
Run the execution environment inside your own cloud account, VPC, and security boundary so source code and secrets stay under your control.
- No source-code custody
- Customer cloud account
- Policy-controlled logs and outputs
Two entry points
Start from either direction
Pyvo adapts to how your team already works—whether that means capturing stakeholder requests or executing on engineering plans.
Stakeholder → Agent-ready brief
Non-technical stakeholders describe what they need. The product manager agent asks questions until the requirement is clear, then Pyvo moves it into implementation. Engineers review once there is working code to inspect.
Engineer → Coordinated execution
An engineer brings a detailed implementation plan, attaches the right repo and sandbox profile, and lets Pyvo coordinate the agent team from that plan. Skip the intake—go straight to execution.
Brief finalized after 4 clarifying questions
Decomposed into 5 issues with dependency graph
Schema design completed for subscriptions table
3 issues completed across 2 parallel agents
e2e tests, schema migrations, pricing UI
Review: missing webhook idempotency
Created 2 additional issues for engineers
2 issues in progress across 2 parallel agents
Webhook handler, usage metering service
See Pyvo in action
Bring Pyvo to your engineering team
See how Pyvo turns stakeholder requests into implemented, reviewable work while your engineers keep control of code, reviews, and merges.
- Stakeholder requests move straight into implementation
- Agent teams coordinate planning, architecture, and coding
- Engineers review working branches and pull requests
- Run hosted or in your own cloud account