Coté (@cote) presents himself as a seasoned observer of enterprise software culture, with a bio that reads: “Studying how large organizations get better at software, working at @VMwareTanzu, views are my own. Texas Forever. ‘Somewhere on the sphere, around here.’” This immediately signals three pillars of his online identity: a focus on organizational improvement, affiliation with VMware’s Tanzu division, and a touch of Texan wanderlust (Coté (@cote) / X).
His tweet history is heavily skewed toward domain-specific content around cloud, DevOps, and platform engineering. In August 2024 he shared “Code to Production: From Cloud to DevOps to Platform Engineering…,” promoting a podcast episode featuring VMware’s Purnima Padmanabhan (Coté – X). Around VMware Explore 2024 he posted slides illustrating the full stack of a private cloud platform, complete with PaaS and IaaS breakdowns (#VMwareExplore) (Coté on X: “Here’s the platform/PaaS, etc. for the VMware private …). More recently, he distilled key takeaways from his Netherlands VMUG presentation—“How do you do platform engineering in your own, private cloud? Here’s my answer in some slides” (Coté – X). These posts suggest a commitment to sharing concrete take-aways, often in the form of slide decks or podcast links, rather than abstract musings.
Over the past few months, Coté has woven in a strong AI thread under the banner of Model Context Protocol (MCP). Just last week he remarked “MCP Prompts have, this far, been kind of weird, obscure, and unimpressive for me. Not anymore!” teasing episode 4 of his MCP series (Coté on X). Four weeks prior he explored “How to code agentic AI tools in Java with goblins // Playing D&D with Model Context Protocol Servers written in Spring AI” (Coté on X: “How to code agentic AI tools in Java with goblins …), while in late October he flagged “Ideas for using NotebookML. This year’s most surprising AI tool” from Wondertools’ Substack (Coté on X: “Ideas for using NotebookML. https://t.co/qQ7UELZn11” / X). Together, these threads convey both curiosity about nascent AI frameworks and a developer-centric bent toward practical experimentation.
Coté also sprinkles in insights on workplace dynamics and productivity. Nine months ago he quoted Gloria Mark of UC Irvine’s finding that interruptions cost an average of 25 minutes to recover original context—an evergreen topic for organizations wrestling with flow state and concentration in distributed teams (Coté on X: “”Gloria Mark of UC Irvine has found that workers require …). More philosophically, a 2023 tweet asked, “Can you executize that for me?—what does this mean? And here’s more meaning to keep you sane in a big company,” linking to a brief glossary of corporate jargon (Coté on X: “”Can you executize that for me?” – what does this mean …). Even his “Great to talk about getting control of your data in enterprises earlier this week…” post underscores an ongoing habit of live-event recaps (Coté – X).
Despite this professional intensity, his personal voice remains light and approachable—mixing casual phrases (“views are my own,” “Texas Forever”) with occasional humor. Multimedia is used sparingly but purposefully: slide-deck previews, podcast links, and occasional session recaps dominate over selfies or personal photos. His cadence is irregular—posts cluster around events (conferences, podcast releases) or when he uncovers a useful tool—suggesting deliberate curation rather than constant microblogging.
In sum, @cote leverages X as a platform for knowledge-sharing among practitioners of cloud and platform engineering, with growing emphasis on AI tooling. He blends technical rigor (slide decks, code examples) with occasional reflections on work culture, all tied together by a consistent “view-from-VMware” perspective and a discerning, Texas-sized dose of personality.