""We do encourage folks to use AI heavily ," he said. "We are seeing huge amounts of productivity improvements internally. In the end, we have individual engineers take accountability for our contributions. Whether you have a piece of code that is completely drafted by AI, or not even part of what you're pasting into your development environment, you have a whole spectrum where AI is used in different places. Either way, the accountability remains on behalf of the person who's done it.""
""That's how models have a better sense of the code, as opposed to many proprietary pieces of code, which are inside the firewall.""
""The sweet spot is where you have maybe an interesting academic idea that is well understood, and you have a codebase that's well understood, and you're trying to say, well, I want to take this idea and I want to take this piece of code and build an extension for it. Th"
Google Cloud encourages database developers to use AI coding tools heavily to accelerate contributions to open source database systems such as PostgreSQL. Developers can use AI to draft code or to assist in other parts of the development workflow, but accountability remains with the individual engineer making the contribution. AI tools can be especially effective for open source because the codebase is publicly available and can help models better understand the existing system, unlike proprietary code kept behind firewalls. PostgreSQL’s extensibility makes it suitable for rapid experimentation, including building extensions based on well-understood academic ideas and existing code.
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