Mike Cannon-Brookes 👨🏼💻🧢🇦🇺 ✓
@mcannonbrookes · Gundungara Country · joined 03 Jan 2008
Dad. Australian 💛💚 Busy @Atlassian @UtahJazz @SSFCRabbitohs @Grok_Ventures @Boundless_Earth @BlackbirdVC @SunCable1 @RoomToRead and 🌱CO2 age: 338.96
103 553Followers
804Following
17 725Posts total
262.1KViews on collected posts
Derniers posts
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Great design teams care deeply about their tools. The @Atlassian design team has now shipped their own CLI and MCP server, and even prototyped the rate of improvement of each over time.
Read more in @charliedesigned 's post below. The team is truly cooking at the moment 🧑🍳 👏🏻
18.6K views · 97 likes
· 5 reposts · 8 replies
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⚒️ How we built Atlassian Design System CLI
Sharing a great deep dive from Kylor Hall on our new Atlassian Design System CLI. It exemplifies how we build and stress test with the same considerations that our customers have for their own AI stacks. Token efficiency, MCP vs. CLI
22K views · 47 likes
· 6 reposts · 8 replies
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@mcannonbrookes finally someone said it. half these "software factories" are just a zapier board with a coding agent duct taped on and a sales deck around it
63 views · 2 likes
· 0 reposts · 0 replies
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@mcannonbrookes tbh; i’ve been thinking similar that the product is the factory, not something external. hyper personalised software and the product itself is the “ide” https://t.co/tcp4tfHxgK. code is the lesser interesting thing, commoditisation of permission/access to improve
1.2K views · 11 likes
· 0 reposts · 1 replies
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@mcannonbrookes Slap an LLM call onto basic pipeline automation and suddenly everyone pitches it as an autonomous software factory.
421 views · 2 likes
· 0 reposts · 0 replies
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There's a lot of talk about software factories right now. Frankly, most of it is bullshit.
Beware “I do AI better than you" snake oil and think more from first principles. Strip most of them back, and you find a series of automations, and one of them happens to be a coding
41.8K views · 256 likes
· 17 reposts · 25 replies
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Another amazing demo for today, celebrating the new MCPv2 server - out now.
Loom video of a meeting
+ Slack channel of customer feedback
+ @Atlassian Teamwork Graph CLI
+ @cursor_ai
→ Confluence database, with view + links
Boom 👊🏻
7.4K views · 37 likes
· 10 reposts · 1 replies
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Heck of a neat video!
Shows how @loom Agent mode can make action plans simple with voice + drawing + clicks, that can be sent instantly into @grok & @cursor_ai.
Human-AI collaboration made super simple.
👏🏻 to all 3 teams on making this happen seamlessly.
11.6K views · 65 likes
· 9 reposts · 5 replies
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Atlassian used Transcribe 2.0 in @Loom and found it more accurate at capturing user instructions. Dictate your change requests using Loom, then directly export to Cursor to code it up. https://t.co/Voepkhb1VR
121K views · 427 likes
· 21 reposts · 15 replies
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1:21
Next month, we will be in Amsterdam for Team Europe. We are deep in planning for the keynote, and I wanted to share how we are using our tools to help.
Starting from a Slack channel with customer feedback and a Loom recording discussing the keynote, I used Codex to create a http
10.5K views · 26 likes
· 2 reposts · 3 replies
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2:18
The smooth operator as a service operator 😂
One of our best.
@Carlossainz55 is such a legend, and quite the dry comedic actor. Thanks for being a good sport!
Vamos @Atlassian & @WilliamsF1!
6.5K views · 21 likes
· 1 reposts · 1 replies
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We handed @WilliamsF1 driver Carlos Sainz the support line.
“My day is full of meetings.” → “Schedule a meeting to resolve it.” https://t.co/Lv1545amQ8
21K views · 96 likes
· 26 reposts · 3 replies
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1:27
Face aux comptes de taille comparable
12 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé largement, mais peu de ces spectateurs réagissent.
Vues médianes11 040ce compte5 983médiane pour 100K–1M
Portée, %10.66%ce compte1.49%médiane pour 100K–1M
Engagement, %0.62%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 11 040 | 5 983 | 1.85× |
| Portée (vues ÷ abonnés) | 10.66% | 1.49% | 7.16× |
| Taux d'engagement | 0.62% | 0.93% | 0.66× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
21K25 Aug
6.5K1 Sep
10.5K18 Sep
121K
11.6K19 Sep
7.4K
41.8K21 Sep
421
1.2K
63
22K22 Sep
18.6K
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.64%25 Aug
0.35%1 Sep
0.32%18 Sep
0.40%
0.69%19 Sep
0.65%
0.74%21 Sep
0.48%
1.00%
3.17%
0.29%22 Sep
0.60%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes63.2%1 087 in total
Reposts5.6%97 in total
Replies4.1%70 in total
Quotes2.7%47 in total
Bookmarks24.4%419 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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