Matt Asay is a Vice President of Developer Marketing at MongoDB. With a focus on AI and machine learning, software development, and data management, Asay explores themes such as data architecture, MLOps, and generative AI. He is featured in Channel Asia, InfoWorld, CIO Online, TechRepublic, and Oracle.
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Matt Asay's coverage focuses on the intersection of technology, open source, and software development. He seems to be particularly interested in AI, cloud computing, and the role of open-source software in these domains.
Given his high percentage of citations of data and expert commentary along with opinion editorials, he is likely to respond well to pitches that provide access to current research or experts who can offer unique insights into the latest trends and developments at the intersection of AI, cloud computing, and open-source technologies.
Since Matt does not have a specific geographic focus but operates out of the United States, sources from diverse locations may find relevance if they are able to contribute valuable insights into global tech trends or offer expert opinions on emerging technologies.
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We want to give agents enough authority to be useful but with strong guardrails to curb the damage they can do. New financial limits from AWS are a good start.
AI can spit out an infinite number of words, but we need humans to use judgment, make meaning, and tell the story—even in a slide deck.
SaaS companies that allow customers to use AI for customizations increase customer interest in the original SaaS product.
Developers are scrambling for tools to help them manage multiple coding agents, and coming up with useful tools of their own.
When AI decides it won't remember its mistakes, humans need the ability to inspect its memory and review its process.
Companies should be careful about budgeting as though AI has already given them both a larger road map and a smaller need for engineering expertise.
When founders jump ship for a bigger paycheck, customers are often left wondering how dependable the abandoned company will still be.
As GitHub expands its third-party coding agents to Claude and Codex, it hopes to cement developer loyalty to its own platform.
We've always needed people who could translate business requirements into software. Now we need them to do it with AI.
Some may claim that AI-reviewed code solves all our security problems. Not quite. But a shared codebase creates a central repository for bug fixes everyone can access.
