How the TensorFlow Team Handles Open Source Support
Open-sourcing is more than throwing code over the wall and hoping somebody uses it. I knew this in theory, but being part of the TensorFlow team at Google has opened my eyes to how many different elements you need to build a community around a piece of software.
When a new project releases into the world, the sole experts on that project are the people who wrote it. They're the only ones who can write documentation and answer questions, and they are most effective at improving the software. As a result, those of us on the core team of TensorFlow became the bottlenecks to growing our project: we couldn't do everything at once.
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