feat: How Daytona Works - Architecture Deep Dive#204
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Articles submitted for bounty claims: - How Daytona Works (daytonaio#164) — Architecture deep dive - Persistent AI Environments (daytonaio#161) — Beyond ephemeral sandboxes - Enterprise Security (daytonaio#160) — AI development infrastructure security - Run AI Code Directly (daytonaio#157) — Skip the JSON dance - Docker-Native AI Development (daytonaio#155) — No special containers required Each article: 1000-2000 words, code examples, TL;DR, key takeaways
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Article for Issue #164
1,800-word deep dive into Daytona's three-plane architecture, core concepts (Workspace, Project, Provider, Target), and how components interact.
GitHub: @zp6