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Update 20250710.md
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docs/_includes/news/20250710.md

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@@ -30,7 +30,6 @@ All created by the insanely talented [Matthew Skiles](https://matthewskiles.com)
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You can read more on [Reddit](https://www.reddit.com/r/finalcutpro/comments/1luu66u/introducing_fidelityfuze_realtime_timelinenative/).
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**Marker Data v1.3.0** is out now!
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- Added new Compressor Chapters Profile
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- Added new Markdown List Profile
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You can learn more on the [Marker Data website](https://markerdata.theacharya.co).
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You can learn more on the [Marker Data website](https://markerdata.theacharya.co).
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**Pipeline Neo v1.0.0** is now release!
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![](/static/pipeline-neo-social-card.png)
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#### Background
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Pipeline Neo is a modern Swift framework and spiritual successor to the original [Pipeline](https://github.com/reuelk/pipeline), designed for professional video editing workflows. Built with Swift 6.0 and targeting macOS 12+, it provides a comprehensive API for parsing, creating, and manipulating FCPXML files with advanced timecode operations, async/await patterns, and robust error handling.
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The framework seamlessly integrates with [TimecodeKit](https://github.com/orchetect/TimecodeKit) to deliver type-safe operations for professional video editing environments. Pipeline Neo is currently in experimental development, focusing on core functionality while providing a foundation for future expansion. The entire codebase has been developed and refined using AI-assisted development practices.
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#### AI Agent Development Collaboration
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Pipeline Neo is refactored and developed using AI agents. [Vigneswaran Rajkumar](https://bsky.app/profile/vigneswaranrajkumar.com) welcomes developers interested in maintaining or contributing to the project through similar AI-assisted development approaches. Those passionate about AI-driven development workflows and looking to collaborate on expanding Pipeline Neo's capabilities are encouraged to reach out.
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Developers with experience in AI agent development and FCPXML processing are invited to contact Vigneswaran Rajkumar for repository access and collaboration on advancing the framework's functionality.
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You can learn more on [Pipeline Neo's GitHub Repo](https://github.com/TheAcharya/pipeline-neo).

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