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Unleashing Designers with Tailwind CSS
How TailwindCSS can help bridge the gap between design and development, and foster a more inclusive and efficient working environment.
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7 Things I Love About Keystatic — A Thread...
After using Keystatic full-time for about 5 months, I thought I’d share some of the things I really like about it. The talk was at the SydJS meetup, held on the 21st of June 2023 at the Atlassian HQ.
·17 min readscreencast
Integrating Keystatic with Astro’s Content Collections
Simon has a new video walking you through the process of implementing Keystatic to power parts of the site you’re on right now! Built with Astro, the Thinkmill website site leverages the power of two new features recently added to the framework: Markdoc, and Content Collections.
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Livestream: landing page with Keystatic, Tailwind, and Next.js
We’re working on a few Keystatic starter templates for devs interested in early access. Watch Simon livestream the build of our first example – a marketing website landing page.
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Design, content, & code in parallel: Thinkmill’s new website
Simon made a playback of an internal team presentation we did this week. It looks at how we built the new Thinkmill website in a hyper-iterative way; with content, design, and code evolving in parallel streams. Our journey to launch presented an interesting set of challenges and learning opportunities.
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Luke Bennett special guests on The NavBar pod
Luke Bennett joined Simon & John from The NavBar to review the exciting new announcements at Next Conf 2022, and the release of Next.js 13.
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A sneak peek into Simon’s new Pro Tailwind course
Simon Vrachliotis is making great progress with his upcoming Pro Tailwind course. Here’s a sneak peek of what’s in store:
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Simon Vrachliotis has launched a Podcast series
Simon Vrachliotis and his friend John Myers from Supabase have launched the NavBar – a podcast dedicated to web development and content creation. Check out the teaser.
More posts from other Thinkmill voices
Is Your Design System Ready for AI?
AI can generate convincing interfaces, but it struggles when a design system’s decisions live in team knowledge rather than its components, documentation and defaults. Preparing a design system for AI means making those decisions discoverable, explicit and verifiable.
·6 min readBuild vs buy: AI code review for teams that have opinions
There’s a good chance that somewhere in your org, someone is trialling an AI code review tool right now, and at the same time someone else is pasting agent output into PRs under their own name.
·6 min readOptimise Your Context, Not Your Prompts
AI makes better engineering decisions when it can understand a project’s architecture, conventions and shared knowledge. Making that context clear and discoverable helps it produce software that fits the wider system.
·5 min read
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