We've built what we believe is the missing piece in AI development: an agent-agnostic middleware infrastructure that lets AI coding assistants run in parallel sandboxed environments.<p>Key technical features:<p>- Dynamic workspace provisioning with parallel sandbox environments
- Connect to the workspace with VS Code
- Full system interaction capabilities (shell, Git, LSP)
- Resource-optimized cloud infrastructure
- Enterprise-grade security and access controls<p>Why we put together this proof-of-concept:<p>Current AI coding agents are limited by working in single files or environments. We have a vision to enable agents to:
- Spin up multiple sandboxes to test different solutions simultaneously
- Access full development environments, not just single files
- Run real-time tests
- Scale compute resources efficiently<p>Our implementation addresses the core issues outlined in our CEO's recent analysis of AI coding infrastructure (<a href="https://go.daytona.io/ai-coding" rel="nofollow">https://go.daytona.io/ai-coding</a>).<p>This is a proof of concept demonstrating how AI agents can work with proper infrastructure support. We're looking for feedback from the HN community, especially:<p>- Developers building AI coding assistants
- Teams working on development environment tooling
- Anyone interested in AI agent infrastructure standards<p>The code is open source and we welcome contributions. Happy to answer any technical questions!<p>---
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