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AI has suddenly become more useful to open-source developers

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Why This Matters

The rise of AI coding tools is transforming open-source development by providing vital support to maintainers, many of whom manage critical projects single-handedly. This advancement helps mitigate risks associated with the reliance on individual maintainers and enhances the reliability of essential software. As AI tools improve, they promise to bolster the sustainability and security of open-source ecosystems, benefiting both developers and consumers.

Key Takeaways

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ZDNET's key takeaways

Top open-source maintainers find that AI has suddenly become much more useful.

There are still legal and 'AI slop' problems to overcome.

By year's end, AI programming tools should be much more reliable.

With open-source software running pretty much everything, you might think that multiple developers maintain most of the important programs with help from corporate sponsors. You'd be wrong.

As Josh Bressers, VP of security at software supply-chain company Anchore, pointed out last year, the vast majority of open-source projects, 7 million out of 11.8 million programs, have only a single maintainer. You might think that those programs are obscure or no longer used. You'd be wrong about that, too.

Also: 7 AI coding techniques I use to ship real, reliable products - fast

Bressers looked closely at the JavaScript NPM ecosystem and found that, among the projects downloaded over a million times a month, "about half of the 13,000 most downloaded NPM packages are [maintained by] one person."

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