#open-source-dependencies

#open-source-dependencies

No matter how inevitable the AI-takes-all scenario may sound, as long as there is a person in the world who still wants to own their means of computation, we will be here to build the hardware that enables it.

The last week of the release continued the same 'lots of small fixes' trend, but it all really does seem pretty benign, so I've tagged the final 7.0 and pushed it out.

Microsoft did not send me any emails or prior warnings. I have received no explanation for the termination and their message indicates that no appeal is possible. I have tried to contact Microsoft through various channels but I have only received automated replies and bots. I was unable to reach a human.

Akismet launched in 2005 as a web service to classify user-generated content as spam or not, quickly gaining popularity among bloggers facing spam issues.

Legacy software, often described as 'big balls of mud,' has accumulated over decades, becoming difficult to maintain and understand. These systems rely on extensive teams to function, despite their outdated technology.

While AI tools are lowering the barrier to development, the gap between speed and manageability is growing. In just over a year and a half, AI code assistants have grown from an experiment to an integral part of modern development environments. They are driving strong productivity growth, but organizations are not keeping up with the associated security and governance issues.

Gentoo's official migration from Microsoft-owned GitHub to Codeberg is underway, as the Linux distribution fulfills a pledge to ditch the code shack due to "continuous attempts to force Copilot usage for our repositories." The decision was made public last month, when Gentoo confirmed it intended to migrate repository mirrors and pull request contributions to the new home. On February 16, the organization revealed it now had a presence on Codeberg, where contributions could be submitted.

The important shift is that software contribution itself is becoming programmable,

AI coding tools have caused as many problems as they have solved, according to industry experts. The easy-to-use and accessible nature of AI coding tools has enabled a flood of bad code that threatens to overwhelm projects. Building new features is easier than ever, but maintaining them is just as hard and threatens to further fragment software ecosystems. The result is a more complicated story than simple software abundance.