Darren Shepherd
@ibuildthecloud
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Building awesome agentic experiences. Co-Founder @Obots_ai Formerly @Rancher_Labs. k3s Creator. Member of The Church of Jesus Christ of Latter-Day Saints
Phoenix, AZ
Joined July 2013
The problem with most agentic framework libraries is that the value of them will basically go to zero as we evolve the patterns. Like you are basically selling a for loop. Sure you need it, but anyone can create one.
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The second you step outside the apple ecosystem everything is annoying about apple. Just buying app products from a non-apple device is annoying.
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This Fizzy thing is annoying. Because, yeah people disagree on the definition of open source, but @dhh did not have to open up the source at all. People are so worry about some slippery slope of, "you can't call it open source," but the side effect is that you are basically
@swombat @ibuildthecloud I'd argue you're making a retarded non sequitur. All the ingredients of the free open source software that's being offered as a fucking gift is right here for anyone to read. It's short enough that even tiktok brains can manage:
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Ugh, I just want @Windows Terminal to have better performance. Please, please, please improve it.
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.@mcpuse from @pietrozullo looks like a really nice framework. I like the idea of "full stack mcp." Maybe this is the beginning of a nextjs for MCP. Can't say I agree with the python support, but it's ok, we all make bad life choices sometimes.
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Hey @Copilot this page is so ugly and you don't let me change it. Why does the UX of Copilot not match anything else and also be ugly? Is this an homage to Flowers for Algernon?
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This is a huge win.
Yesterday, we helped launch the Agentic AI Foundation, which includes MCP. Today, we're announcing fully-managed remote MCP servers for Google APIs. We're starting with @googlemaps, @googlecloud BigQuery, GKE, and GCE. https://t.co/1p5mU2rk3W
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Well I guess MCP works at "Google Scale"
cloud.google.com
Google is announcing official MCP support for Google and Google Cloud services for AI agents.
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I feel really good about the idea I'm working on. Like really really good about it. I'm saying this not that you should expect I deliver anything, but just that I'm happy with what I'm doing. There's something about this solution that seem properly scoped and achievable.
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This is brilliant. People see AI slop all the time on social media, so embracing it in an ad is funny and makes sense. I remember the early days of flash animations on the web, where people did funny creative things with the limited vector graphic style, and then over time people
they yelling βAI is garbageβ every day.. and then McDonaldβs casually releases an AI Christmas ad like itβs nothing the world moved on without you
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This is super cool. Make MCP clients suck less! I love the generate approach vs bundler magic. But this solves a problem I consistently have with MCP servers. Is that they really really suck to consume. I typically just use claude to generate a wrapper client so my DX does suck,
Learn how to use the new xmcp CLI to connect to any remote MCP server and access their tools πππ‘ @π‘πππ-πππ/πππ ππππππππ
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This is important, take note, this is history in the making So fun to hear these amazing peeps talk @idosal1 @liadyosef @ibuildthecloud
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Overlay support in AgentFS gives you copy-on-write semantics for files. You can let the agent do its thing and not worry about it destroying your files. I also now added "agentfs diff" command so you can see what the agent did. (Credits go to @ibuildthecloud for the idea.)
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Oooh hey. The MCP Dev Summit in London got mentioned in this! We (@Obots_ai) helped put that on. Achievement unlocked: indirect reference in major AI company and ecosystem announcement π
Anthropic is donating the Model Context Protocol to the Agentic AI Foundation, a directed fund under the Linux Foundation. In one year, MCP has become a foundational protocol for agentic AI. Joining AAIF ensures MCP remains open and community-driven.
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Today was productive and all the code was written by Claude.
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Does anybody read AI generated documentation? Who are we writing documentation for? Maybe we should just document directly for AI now.
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