
Vision
Vision is an AI-native platform that lets technical and nontechnical teams collaborate on production-level applications by connecting directly to existing GitHub repositories. Users can prompt changes in shared live sessions, preview features in working prototypes, and ship changes safely with automated guardrails. The platform supports parallel ticket-based development where each ticket gets its own AI agent that works independently and returns ready for review.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Building and shipping software typically requires technical expertise, creating a bottleneck where nontechnical team members must wait on engineering queues. This slows iteration, increases reliance on expensive external agencies, and prevents the people closest to a problem from directly building its solution.
Solution
Vision is an AI-native platform that lets technical and nontechnical teams collaborate on production-level applications by connecting directly to existing codebases. Users can prompt changes in a shared live session, preview features in working prototypes before any code is written, and then ship the selected change safely. The platform enforces safety through guardrails—rules set once and checked automatically on every build—so changes never break production. It reads from and writes to connected GitHub repositories, bringing AI assistance directly into the team's existing workflow without requiring rewrites or migration. Vision also supports parallel development through tickets, where each ticket gets its own agent that works independently and returns ready for review.
Target Audience
Vision targets product teams, founders, and operators at companies building internal tools or production applications—particularly nontechnical decision-makers (like CMOs) who want to ship changes directly, alongside engineers who need safe AI-assisted workflows. Customer examples include SupaHumans, Assistantly, and MPL.
Features
- Live collaborative sessions where multiple users see the same interface and can edit or prompt changes simultaneously
- GitHub integration that connects to production repositories with read-only access until the user grants more, and respects repository permission scopes
- Prototype-first workflow that lets teams design features in working prototypes before any code is written, then build the selected option
- Configurable guardrails (e.g., guardrails.md) that run checks on every build—covering tests, types, and design rules—before any change ships
- AI agents that can read Google Analytics data (via OAuth) to help teams analyze traffic within their workspace
- Parallel ticket-based development where each ticket gets its own agent, enabling multiple changes to be cooked simultaneously and returned ready for review
- Workspace structure supporting teams with shared projects, chat messages, and content organized per team membership