Daytona
Open-source dev env that makes you 2x more productive!
Daytona is the open-source dev environment manager that supercharges your productivity. Think of us as the Codespaces alternative that puts you in control, on any machine. No vendor lock-in here. Spin up fully-configured dev environments in seconds, perfectly tailored to your project's needs. No more wasting hours on setup and configuration. We're backed by an all-star group of founders from companies like Postman, Netlify, Supabase, StackOverflow, Honeycomb, Puppet, Sentry, Warp, and others.
Reviews for Daytona
Hear what real users highlight about this tool.
Reviewers praise Daytona for fast setup, smooth onboarding, and a clean UI, with several noting sub-90ms starts and strong support for AI agent workflows. Makers of sampleapp.ai highlight an excellent developer experience, aligning with users who report reliable runtimes, easy Python/TypeScript SDK integration, and productive Docker-based workflows. Teams cite improved responsiveness and reduced cold-start latency, plus flexible, cost-conscious infrastructure for small to mid-scale AI projects. Minor knocks mention occasional connection hiccups, but overall sentiment emphasizes speed, simplicity, and clear gains in developer productivity.
This AI-generated snapshot distills top reviewer sentiments.
Thank you for providing robust sandbox solutions that empower App2's features.
Daytona has the best dev experience!
I used with suna.so, works great. Thinking of implementing on my own projects this week. Congrats on the launch.
I recently had the opportunity to explore Daytona Cloud, and I must say, it exceeded my expectations. Setting up was a breeze, thanks to its intuitive SDKs for Python and TypeScript, allowing for rapid integration into existing workflows. The infrastructure is impressively reliable, delivering sub-90ms startup times and stateful execution, which is crucial for AI agent operations. The platform's design caters specifically to AI agents, offering features like native Docker compatibility and multi-region support, ensuring both flexibility and scalability. Overall, Daytona Cloud provides a robust and efficient environment for deploying AI agents.
After running our conversational AI service on traditional cloud infrastructure for the past year, I decided to give Daytona a try based on their claims about startup performance. Our team was facing significant challenges with cold start latency that was affecting user experience, especially during traffic spikes.
Overall, Daytona has fundamentally changed how we think about AI infrastructure. The performance gains have allowed us to build features we previously thought impractical due to latency constraints. If you're running any kind of responsive AI system where milliseconds matter, I highly recommend giving Daytona a serious look.