Matt Asay
Contributor
Matt Asay runs developer relations at MongoDB. Previously. Asay was a Principal at Amazon Web Services and Head of Developer Ecosystem for Adobe. Prior to Adobe, Asay held a range of roles at open source companies: VP of business development, marketing, and community at MongoDB; VP of business development at real-time analytics company Nodeable (acquired by Appcelerator); VP of business development and interim CEO at mobile HTML5 start-up Strobe (acquired by Facebook); COO at Canonical, the Ubuntu Linux company; and head of the Americas at Alfresco, a content management startup. Asay is an emeritus board member of the Open Source Initiative (OSI) and holds a J.D. from Stanford, where he focused on open source and other IP licensing issues.
The open source licensing war is over
It’s time for the open source Rambos to stop fighting and agree that developers care more about software’s access and ease of use than the purity of its license.
A new hope for software security
From package signing to SBOMs to new developer toolchains, the pieces for securing the software supply chain are starting to come together.
The biggest barrier to AI productivity is people
Generative AI is helping us churn out vastly more content at remarkable speed, when what we really need is better content. It’s up to humans to put the focus on quality and value.
Red Hat kicked off a tempest in a teapot
The biggest threats to Red Hat’s Linux market share will come from the companies that make it easiest for developers to do their jobs.
AI’s impact on cost savings, productivity, and jobs
While short-sighted companies may look to AI to cut jobs and costs, smart companies will use AI to increase productivity and agility. Just as they did with open source and cloud.
Red Hat ends the RHEL clones’ free lunch
Red Hat is forcing companies to choose a successor to CentOS Linux. Think carefully about the foundation of your infrastructure and who will support it long-term.
Why isn’t Apple talking about AI?
Apple has been innovating with AI for a long time, but it focuses on the magic of the user experience, not the tech. There's a lesson here, especially since GenAI isn't always the right tool.
How Grafana made observability accessible
Now 10 years old, the open source passion project that made observability open and composable continues to simplify life for developers.
Serverless is the future of PostgreSQL
To differentiate the many flavors of PostgreSQL, the few truly serverless offerings promise better engineering and faster development.
ChatGPT’s parasitic machine
What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?
Are large language models wrong for coding?
When the goal is accuracy, consistency, mastering a game, or finding the one right answer, reinforcement learning models beat generative AI.