Prinevo.ai
Best for orchestrating a fleet of coding agents across multi-repo production deliveryPrinevo.ai is a software-factory orchestration platform that sits above individual coding agents like Claude, Codex, and Cursor, coordinating them as a team rather than relying on one agent to handle a task end-to-end. Delivery is split into stages — Product, Architect, Lead, Implement, QA, Code Review, and Learning — each run by a specialist agent with scoped read/write permissions and access to shared organizational memory about product behavior, ownership, contracts, and past incidents, so agents don't relearn context on every run. The platform coordinates changes across multiple repositories (frontend, backend, workers, infrastructure) so they land as compatible, reviewable units, and before work reaches a human it packages evidence — test reports, logs, screenshots, contract validations, and audit trails. A central governance control plane manages model selection, cost tracking, and policy across the whole agent fleet, with rollout planning that includes monitors and rollback paths. Prinevo is model-agnostic and connects to GitHub, GitLab, Linear, Jira, Slack, Notion, Google Drive, Datadog, and 100+ other tools. It's positioned as the delivery system wrapped around coding agents, aimed at engineering teams already running agents in production who need multi-repo coordination and reviewer-ready proof of work rather than another standalone coding assistant. The product is in early access with no public pricing.
AI Models
Key Features
- Multi-agent orchestration across Product, Architect, Lead, Implement, QA, Code Review, and Learning stages
- Organizational memory across product behavior, ownership, contracts, and incident/rollout history
- Multi-repo coordination for frontend, backend, workers, and infrastructure changes
- Scoped per-stage agent permissions (read/write tools, Slack actions)
- Evidence packaging: test reports, logs, screenshots, contract validations, audit trails
- Central governance control plane for model selection, cost, and policy
- Rollout planning with monitors and rollback paths
- Model-agnostic — orchestrates Claude, Codex, Cursor, or custom agents via API
Integrations
Pricing
No public pricing published — request early access via the website
Pros
Pros
- Coordinates a full team of specialist agents across the delivery lifecycle instead of one agent doing everything
- Multi-repo coordination with evidence packaging built for human reviewers
- Model-agnostic — works with Claude, Codex, Cursor, or custom agents via API