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OpenAI Symphony article: https://openai.com/index/open-source-codex-orchestration-symphony/ Symphony GitHub repo: https://github.com/openai/symphony VIWO GitHub repo: https://github.com/OverseedAI/viwo OpenAI just released Symphony, a new multi-agent orchestration spec for managing autonomous coding agents through an issue tracker like Linear. Instead of manually juggling multiple Codex or Claude Code-style agent sessions, Symphony lets you assign agents to tickets, have them work in isolated workspaces, loop until completion, and open pull requests automatically. In this video, I walk through what Symphony is, how the reference implementation works, how to set it up with Linear and GitHub, and why I think this points toward the future of AI software development workflows. But there’s also a bigger question: if AI can now generate code and open PRs at scale, is code generation still the bottleneck? I argue that the real bottleneck is shifting toward requirements and review. More AI-generated pull requests do not automatically mean more valuable software shipped. If teams cannot write better specs, validate changes, and review PRs effectively, they may just end up with more noise, more bugs, and more tech debt. Topics covered: - What OpenAI Symphony is - How multi-agent coding workflows work - Linear ticket-based agent orchestration - Codex agents opening pull requests automatically - How Symphony compares to manually running agent harnesses - Why code generation may no longer be the main bottleneck - Why AI code review and better specifications matter next If you’re experimenting with AI coding agents, Codex, Claude Code, Linear, GitHub automation, or multi-agent development workflows, this is a glimpse at where software engineering might be heading next. What do you think the real bottleneck is now: code generation, requirements, review, or something else? 0:00 Intro 0:55 Symphony Basics 2:04 Setting up Symphony: Linear 4:05 Setting up Symphony: Codebase 8:32 Demo Run 10:55 The Real Problem 12:26 Symphony Predecessor: Aperant 13:11 Building Confidence in AI Programming 15:41 Final Thoughts #OpenAI #Symphony #Codex #AICoding #SoftwareEngineering #AIAgents #DeveloperTools #Linear #GitHub #CodingAgents