Jason Jun (@jsonjun) header
Jason Jun (@jsonjun) profile picture

design + eng @atlassian

Melbourne, Victoria
Joined October 2009
Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)Photo by Jason Jun (@jsonjun)
Jason Jun retweeted
Throwback to Atlassian Team Europe 26! Had a blast working on the keynote closing animation, which seamlessly transitioned into an infinitely looping mega bento wall! 🍱 If you're interested in the creative process & tooling, check out @eduardo_sonnino awesome post for a deep dive. teapawt.net/eduardo_sonnino/status…
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🧰 The always evolving toolchain and Story Factory Two days out from our @Atlassian Team ’26 EU conference, we decided to close the show with something ambitious: a living digital wall made of everything we had announced. We wanted to celebrate the hundreds of pieces of work from the teams, by featuring all the signature interface elements moving in concert across a ~20k pixels wide multi-screen canvas. The goal was to make each element feel placed and animated by a single designer. But doing it all by hand would have been a production nightmare, and most likely the idea would have died there. So we built a bespoke tool that could translate production code and source designs into a procedurally animated wall that scrolled endlessly across all three screens. The wildest moment for me was seeing "version 54" in the tool two days later, reflecting dozens of almost real-time changes from rehearsal feedback. The end result was a fantastic moment on stage that fully met the brief. And it was the spark for a more enduring tool that we call 'Story Factory'. This evolved version helps design, marketing, sales, and product managers to tell better stories - across more channels, by more people and with high quality. @eduardo_sonnino , @vennsoh and @jsonjun created the initial tool - and over the last month they've been jamming with @mcannonbrookes, Andrew McClenaghan, Mike Flood as well as a bunch other passionate builders to make it better every day. We're getting the same level of stoked "no way!!" reaction from the teams experimenting with it, as we got from the audience at Team '26 EU. There's a ton of lessons, implications and ideas to share - so check out @eduardo_sonnino's article on our Story Factory journey here -> teapawt.net/eduardo_sonnino/status…
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Reposting Sean’s post: Atlassian’s Design Technology team raises the floor (AI with design context, prototyping for everyone) and the ceiling (code as living spec, Generative UI, build to think). Proud to be part of this team 🚀
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The design technology team at @Atlassian is such an amazing force multiplier for everything we do. 🔥🔥
Reposting Sean’s post: Atlassian’s Design Technology team raises the floor (AI with design context, prototyping for everyone) and the ceiling (code as living spec, Generative UI, build to think). Proud to be part of this team 🚀
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Reposting Sean’s post: Atlassian’s Design Technology team raises the floor (AI with design context, prototyping for everyone) and the ceiling (code as living spec, Generative UI, build to think). Proud to be part of this team 🚀
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🧰 Building Protobox: our AI prototyping tool Eighteen months ago, the Atlassian Design team started the transition of building with AI-powered prototypes. Over time, we realised we could better integrate different workflows and technology stacks - so we built Protobox. It started as an app-specific kit, grew into a Bitbucket repo, and has now evolved into a full-blown Mac app. Protobox is a super flexible canvas for building on coded prototypes. The goal wasn't to replace existing design tools in our toolchain. It was to leverage code where it helps most -> bringing technical feasibility into the room early and using agent skills like "Pre-flight" and "Spec-gen" to cut down on back-and-forth. This has helped us align faster on releases across the @Atlassian System of Work - including Confluence Remix, @loom Speaker Notes, @Jira AI SDLC features and plenty more. @jenco has written an article detailing our approach, including the trade-offs and learnings. Great design requires designing great tools - and the team has absolutely delivered on that. Read more - linkedin.com/pulse/building-…
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Thought it was clever how CJ used Jev to pick a specific sentence from Wikipedia's opening paragraph as an answer. That gave me the idea for a Chrome extension that uses Jev to pick the most relevant link from the first page of search results. It turns Google's "I'm Feeling Lucky" button into "I'm Feeling Jevvy". Click it and the extension fetches the results, lets Jev pick a link, and redirects you there. Been using it for a few minutes. Pretty useless so far. I mean, I don't even search on Google anymore. But it was fun and very quick to build. Tokens well spent.
I built a chat bot with jev, no LLM at all! Responses are instant, no hallucinations. I hooked it up to web search, wikipedia, weather, todoist and home assistant. Jev decides what tool to call and what args to use based on the prompt. Instant answers cite sources as well!
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PR review Jev: 0.51 me: LGTM
What are some interesting problems you’ve been able to restate as classification problems to solve with Jev? Outside the box stuff that doesn’t seem like a classification problem at first.
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Full set is here. I had so much fun designing and building it. Hope you like it. apps.apple.com/us/app/cn41p-…
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Yes, native swift charts. tweaked with dialkit 😁
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Made a little macOS menu bar app for @vercel Analytics. Quick glance at the stats, with a link to open the dashboard.
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At this rate, I'll be salary-sacrificing for more AI tokens by next year.
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Replying to @radiofun8
This looks really polished. Love the native feel. 😍
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TIL: Codex handles disable-model-invocation differently, which explains why it kept tripping me up. I wish major model providers would align on skill metadata conventions.
mattpocock/skills v1.2 is here! Brings /wait-what (for smacking down verbose models), /writing-for-agents, and a huge change to /grill-me Here's the breakdown:
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