AI is totally flipping the script on how we do software development. Back in the day, getting a product off the ground could take a team weeks or even months. But now, with the rapid rise of AI Agents, auto-generating code, auto-testing, and auto-deploying has become the norm. Efficiency is through the roof, and software production is speeding up like crazy. But a lot of folks are missing the point: once code starts getting massively 'auto-generated,' what really matters isn't just 'who can write code,' but rather 'are these codes trustworthy.'
In fact, nearly all software, websites, and AI applications today are built on a huge open-source dependency system. From Packages to Dependencies, and then to Maintainers and Governance, these invisible foundational infrastructures determine whether software is genuinely secure, stable, and sustainable. But the average user, and even many developers, often have no clue what their software is actually relying on. If there’s a vulnerability, a malicious update, or a maintenance break in those foundational open-source components, it could ripple through the whole ecosystem.