Notes on dvt — where the visualization layer fits in the modern data stack.https://dvt.dev/https://dvt.dev/blog/skills-subagents-and-dvt/https://dvt.dev/blog/skills-subagents-and-dvt/Claude Code and Codex can already build dvt dashboards over MCP. Skills and subagents teach them to build *your* dashboards — and dvt's org skills give those conventions a distribution channel.Thu, 16 Jul 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/you-dont-need-a-semantic-layer/https://dvt.dev/blog/you-dont-need-a-semantic-layer/Raw tables, dbt models, or governed semantic views — dvt works on top of whatever you have. There's no modeling prerequisite, because dvt is the visualization layer and nothing else.Mon, 22 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/housekeeping-is-a-read-problem/https://dvt.dev/blog/housekeeping-is-a-read-problem/“Read all the dashboards and come up with folders to organize them into.” One sentence, and an agent reorganized our entire internal org. The interesting part isn't that dvt can write dashboards — it's that an MCP server can read every one of them at once.Sun, 21 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/open-source-dashboard-landscape/https://dvt.dev/blog/open-source-dashboard-landscape/A buyer's guide to code-first BI: Lightdash, Evidence, Metabase (open-source), plus dvt, a spec-first hosted alternative.Sun, 21 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/talk-to-your-warehouse/https://dvt.dev/blog/talk-to-your-warehouse/Why most AI dashboards dead-end as screenshots — and how dvt's MCP surface lets an agent author a live, versioned dashboard spec instead.Sat, 20 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/dashboards-as-code/https://dvt.dev/blog/dashboards-as-code/What 'dashboards as code' actually means, what it buys you, and how dvt implements it — versioned JSON specs that live in git alongside your dbt models.Fri, 19 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/the-static-html-trap/https://dvt.dev/blog/the-static-html-trap/AI made everyone a dashboard author overnight. The output was a pile of static HTML files — stale on arrival, impossible to reproduce, and scattered across everyone's downloads folder. That gap is why dvt exists.Tue, 16 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/two-promises/https://dvt.dev/blog/two-promises/Faster dashboard dev cycles, and always knowing what's published. What dashboards-as-code buys you after the authoring is done.Tue, 09 Jun 2026 00:00:00 GMTCollin Austadhttps://dvt.dev/blog/where-dvt-fits/https://dvt.dev/blog/where-dvt-fits/dvt is the visualization layer of the data stack, and nothing more. Here's why that narrowness is the point, and the companion skills AI-native data teams should build around it.Sun, 07 Jun 2026 00:00:00 GMTCollin Austad