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Heya, I'm Tyler 👋 a principal engineer at @Atlassian.
I've been building here for a long time, and working on AI since the GPT-3.5 days, when you had to figure out what you really could do with a 4K context. good times (seriously! it was so fun).
I'm going to start sharing more of what i build and how i work: agent workflows, experiments, and lessons from getting AI to do useful things.
I'm still learning plenty myself since it's changing every day.
When did y'all start building with AI?
I think its always good to look ahead, even if things are going great, so it's got me wondering, what's next after MCP?
If MCP was just bring APIs to agents in an easy to consume way, does the next pattern rely on something else entirely?
I don’t really do adversarial review on the code itself these days, rather I ask Claude and Codex to actually work through the planning and research phase together to catch issues before any code is even written. It’s nice to get two perspectives. Anything that’s ambiguous gets raised to me. I’ve found that much more useful than reviewing after the fact.
maybe a hot take but i now consider adversarial reviews mostly a waste of tokens. far better to use those tokens on empirical combined with formal verification. i have updated pstack to use the interrogate skill less, and eventually i think i may remove it altogether
i have found very little value with code review in the abstract, agents tend to just get lost in the nitpicks and yagnis
One of my favorite things of working on the Atlassian MCP is hearing from customers that just absolutely love it. It's been the most fun I've had working on something in a long time.
MCP is changing the proximity of work. As a researcher on @Atlassian's Research & Insights team, I set out to understand the shift, and what it reinforced about researching AI products 👇
📚 Read: linkedin.com/pulse/how-mcp-c…
🎥 Watch: loom.com/share/fa869a05f2f94…
💬 LMK what you think!
Love this. It's sure better than the game i made where you wander around your Confluence space in some weird futuristic 3D library.
I had Opus build a game that takes JIRA tickets from any of your real projects & converts them into dramatic audiologs that are the plot of a 2000s-era horror game set on a mysteriously abandoned space station.
Play a demo: wontfix-game.netlify.app/
Github: github.com/emollick/audiolog…
We also just added Confluence page remix support to the Atlassian MCP!
One of the things I miss most about the old days of coding is being able to throw on some music and jam out while knocking out the implementation.
Forget Navier-Stokes, can someone please set AI on the case of figuring out how car seat buckles seemingly get twisted the wrong direction at ease when no one is watching, yet are incredibly difficult to manually flip back the right way?
It's crazy to think we thought things were moving fast a few years ago because React was adding something new and we all had to learn it.
And then in these last two years we've gone from something that could sort of write decent tests to something that literally can optimize an entire part of your request path / pipeline by just saying "please make this super duper fast"
A lot of people are talking about how fast the Claude sub runs out, meanwhile I'm still amazed every day how long it lasts as someone whos used to seeing how quickly budget can get used up at actual API prices at work.
Granted my side projects are also a lot smaller, but still.
Still eagerly awaiting when we can get an always on agent that works at companies with the usual enterprise security policies and all that other fun stuff. 🤞
Before AI: I love problems where the goal is to make a number go up or go down.
After AI: I love problems where the goal is to make a number go up or go down and now I can do a bunch of them in parallel. It truly has become like a video game.
Skills over MCP support cannot come soon enough. Eagerly awaiting it!
We've been working around it at Atlassian when we really do have a big chunk of required guidance (eg how to create a page) to give an agent, by effectively making "skill as tools" but having an actual established pattern would be great to shift to.
Optional but helpful skills will also be a huge unblock of course.
I know the anti MCP rhetoric has really slowed down, but just to throw more one data point in the ring, the MCP growth were seeing at @Atlassian the last month is crazy.
We just published numbers saying we're getting 15 million calls a day, up from 5 million in July, but my secret sources tell me its already rocketed well past that.
MCP really is having its time to shine. On top of all the cool stuff already released / in the pipeline.
Ask me anything about the Atlassian MCP! Jira, Confluence, whatever, if i don't know, I'll find someone who does.
We added soooo much new Confluence stuff to the MCP. You can now work with whiteboards, databases, create remixes, and soooo much more.
If you have any requests or questions just drop em here!
Your AI just got a massive upgrade. ✨
Atlassian MCP now expands across 220+ tools for searching, reasoning, and taking action.
One request can now span your full workflow—from Loom transcripts to Bitbucket PRs.
See what’s new: go.atlss.in/mcpv2
/show-me-in-confluence is a skill I use every day. Love having a shareable record of something. If it was a good enough explanation for me why not make it so others can see it as well?
At this point "with an army of luna subagents" really is the answer to a lot of questions.
Evaling your MCP or CLI, checking a bunch of UI operations and grabbing screenshots with browser use, fanning out and doing research, etc. What else are ya'll doing with it?
And just like that before most Jev powered use cases have truly hit production, competition is heating up. Great to see!
I haven’t seen this much hype around a “new” AI paradigm in years and it’s awesome. It’s so fun thinking through all the new experiences we can build.
introducing 𝚌𝚕𝚎𝚏: our first models trained by @cloudflare's workers ai team.
today, we're releasing two fast and accurate decision models that top the benchmarks for quality and latency. use them hosted on workers ai or grab the weights from @huggingface, because we open-sourced it too.
blog.cloudflare.com/clef-dec…
The Atlassian experience is now in ChatGPT with the new MCP extension points from the great @mxstbr and team!
A home view where you can get right to work on whatever ya need to get done with one click.
But honestly the best part might be the Composer @ mentions. You can search for work items, pages, and users by name and attach it as context without ever having to leave the chat box.
One of my favorite things I've gotten a chance to work on in a while because I'm gonna use it literally every day.
Check it out! What else do ya wanna see?









