Dwayne Macgowan
6.1K posts

Dwayne Macgowan
@dwaynemac
Developer, sádhaka & chêla
Buenos Aires, Argentina Katılım Ekim 2008
1.3K Takip Edilen769 Takipçiler

@Railway offline hace horas.
Que ganas de pagar el tick azul solo para quejarme más fuerte.
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@JustJake @joeychilson Doesn’t look like 85% of customers are unaffected
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It appears Google Cloud has blocked our account, and so some services are unavailable
We’ve escalated this to Google and will keep people posted. Deepest apologies.
Railway@Railway
The Railway dashboard is currently unavailable, and all running Railway services are down. We're working with our upstream provider to restore service. Updates: status.railway.com
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Railway has been an incredible platform and very easy to use, but today’s outage is scary. When even the main site/dashboard is down, it raises serious questions about disaster recovery. The Google Cloud account block makes it even more concerning. Hoping for some real answers and real changes after they get back up.
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Google Cloud has blocked our account, making some Railway services unavailable. We have escalated this directly with Google. The Railway Platform team has since confirmed access to Google Cloud and is working on restoring access to all workloads.
We have access to some of our Google Cloud–hosted infrastructure and are working to restore the rest of the service. We apologize for the disruption.
Railway@Railway
The Railway dashboard is currently unavailable, and all running Railway services are down. We're working with our upstream provider to restore service. Updates: status.railway.com
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@lucaronin @github Tolaria is really scratching an itch Obsidian didn’t
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Tolaria is now one of the fastest-growing repos across the whole @github 😳 with 7K stars in just 5 days.
It's in many of the top trending charts, and it's frankly unbelievable!
Doing my best to keep up with the requests, issues, and even just emails and comments on social media!
I just released the latest stable (lol) version, with some of the most requested features, including:
• Support for LaTeX
• Support for I18n (more languages coming 🔥)
• Find / replace in the editor
• Image insertion via paste an drag&drop
• Image display in the note list
• Support for vaults without Git
• Support for macOS Intel!
Plus a looong list of bug fixes and quality of life improvements.
Also, in case you missed it, two days ago we also added Dark mode, Windows and Linux builds!
• Repo: github.com/refactoringhq/…
• Website: tolaria.md


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Dark mode is here! 🌘
Today’s release is the biggest ever for Tolaria. It includes dark mode (🎉), 20+ bug fixes, and a ton of quality of life improvements.
For the first time, it also includes “best-effort” builds for Windows and Linux. Meaning these are still super buggy, but I’ll be fixing things constantly from now on to make them good.
It also includes a brand new contribute panel, with all the ways you can help with Tolaria. It’s the first time I run a meaningful open source project, so I am figuring things out on the go!
Meanwhile, Github stars did another 2x yesterday and we are now at 4K 🥳
As always, you can get everything here: github.com/refactoringhq/…



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Introducing Tolaria! 💧
Today I am releasing a macOS desktop app for managing markdown knowledge bases, and helping both AI and humans operate them.
It’s free and open source, and always will be.
I have been working on it for three months, and I now use it to run my life and work. I personally have a massive workspace of 10,000 notes — the result of 6 years of Refactoring — which I now operate on Tolaria.
Tolaria is the main collaboration surface with my AI agents: they create new notes there, connect them to what exists, and edit existing ones. Everything is easy to understand for them, because it’s just markdown files. In a way, it’s my implementation of @karpathy's LLM wiki.
Tolaria is also the biggest experiment I have ever run about writing software with AI:
• 2000 commits
• 100K+ lines of code
• 3000+ tests / 85% coverage
• 9.9/10 code health
• 70+ architecture decision records
I am releasing it open source also to use it as a living artifact of how I do AI coding, so you can inspect at any time things like how I write docs, what's in my AGENTS file, what hooks do I run, and so on. You can find it below:
• Newsletter announcement: refactoring.fm/p/introducing-…
• Website: tolaria.md
• Github repo: github.com/refactoringhq/…
Let me know your thoughts!

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Dwayne Macgowan retweetledi

Ruby on Rails is probably the most token-efficient way to write a real web app together with agents that doesn't immediately fall apart with security holes and unscalable decisions. rubyonrails.org

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Dwayne Macgowan retweetledi
Dwayne Macgowan retweetledi

@jorgemanru are you still using RubyMine or has this made you switch to a different IDE.
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Refactoring code is a great example of the abstraction jump that AI agents represent. Before, the editor and your mastery of it were a huge time-saving factor. Now, it’s almost irrelevant.
It’s also one of my favorite AI-coding scenarios: the machine handles all the boring parts such as editing code, find/replacing text, and file handling while you focus on the design, talk through the code like a human, and watch it evolve much faster and more predictably than when you were making the changes yourself.
I’ve always been a fan of IDE-driven refactors, but they feel like stone-age stuff now.
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You can rank #1 in ChatGPT in 45 days (not 12 months like Google SEO)
ChatGPT handles 2.5 billion searches daily and will overtake Google by 2027.
I reverse-engineered exactly how to do it (giving away the full playbook at the end).
Here's what changes when you rank #1 in AI search:
- Your brand gets recommended when people ask "What's the best [your category]?"
- You show up in comparison requests against competitors
- ChatGPT, Perplexity, Claude, and Gemini cite YOUR content as the authority
- You capture buyers BEFORE they even visit Google
- Your content gets seen by people who never click traditional search results
The difference between AI search and traditional SEO:
Traditional SEO:
12-18 months, domain authority aging, endless backlink building
AI search:
30-45 days, content freshness, structured data, and expertise
Companies already winning with this playbook:
Deepgram: 24x traffic in 60 days
Webflow: 40% traffic lift in DAYS
Chime: 3x AI citations in under a month
They're not doing traditional SEO anymore.
They cracked AI search while everyone else is still optimizing for Google.
Inside the playbook:
- How to audit your current AI visibility across all platforms
- The 7 ranking factors AI prioritizes (completely different from Google)
- Content formats that get cited 10x more than generic articles
- How to reverse-engineer competitors dominating AI search
- The refresh strategy that keeps you ranked (not just published)
This is the exact system brands like Webflow and Klaviyo are using to dominate AI recommendations.
And you can start implementing it today.
Follow + comment "SEARCH" and I'll DM you the complete playbook.

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Dwayne Macgowan retweetledi

@jdoedoe101101 En invierno gasto lo mismo en edificio 100% eléctrico. Laburo todo el día en casa.
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Cómo van a consumir 1450 kWh en 60 días viviendo solos? Qué están minando Bitcoin??
Sofía Nunes@Csofianunes
Me llegó la boleta de luz. Se viene el Only Fans o el SUI CI DIU 😬 VIVO EN UN EDIFICIO TODO ELÉCTRICO. NO RECOMIENDO
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