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David Golden
8.3K posts

David Golden
@xdg
Engineering Director @ MongoDB. I like building things, solving problems and playing games, occasionally at the same time. Opinions are my own.
New York, NY Katılım Şubat 2009
226 Takip Edilen2K Takipçiler
David Golden retweetledi

@emollick Features is one thing. Scaling operations is something else and I'm not impressed. And there are important enterprise features deep in their roadmap while they chase the public hotness. Not a lot of companies in the economy are in such demand to pull that off sustainably.
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The ability of the Claude team to learn from things like OpenClaw and implement features like this on a daily basis is a very strong argument that, for AI-powered coding teams, a very different software development process is possible, with large strategic implications.
Thariq@trq212
We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.
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David Golden retweetledi

@catehall FWIW I started allergy shots a year ago. Bad timing already in spring but it seems to have helped some by the fall. Real test coming this season. Worth exploring for the longer term if you haven't.
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David Golden retweetledi
David Golden retweetledi

This article explains clearly why the proposed wealth tax would be so damaging to California. It's not an accident. It's *designed* to be damaging.
astralcodexten.com/p/seiu-delenda…
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@TheZvi Good for? Replacing Haiku in Claude Code so Opus stops kneecapping itself delegating to a toy model.
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I've been asked for job hunting advice lately, so wrote up my thoughts on interviewing in particular.
xdg.me/hacking-the-jo…
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David Golden retweetledi

@emollick I think it's emblematic of what the pressure to ship faster does. They aren't stopping to think about what they should be shipping, just consuming tokens as fast as they can in a Red Queen's race. A lesson for everyone else.
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@js4drew I think that could work for some domains, but for others, I wouldn't trust it to be deterministic. Challenge I see is knowing in advance whether such a detailed spec is less time than just coding it by hand.
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This echoes my experience and is the art vs science aspect of AI coding. By intentionally not looking at side project code and seeing where I hit the wall, I'm getting a better feel for how to manage it. But it leaves me skeptical of the Dark Factory pattern for many domains.
Simon Willison@simonw
Short musings on "cognitive debt" - I'm seeing this in my own work, where excessive unreviewed AI-generated code leads me to lose a firm mental model of what I've built, which then makes it harder to confidently make future decisions simonwillison.net/2026/Feb/15/co…
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@TheZvi If it's not too late, others in company Slack has similar reactions: "it tries to frontload a LOT of thinking and tries really hard to one-shot codegen", "feels like a completely different and less agentic model", "I have seen it spin the wheels on the tiniest of changes"
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@TheZvi Feels off somehow. Great in chat but in the CLI it gets off track in ways that 4.5 didn't. Can't tell if it's the model itself or the way it offloads work to weaker models. I'm tempted to give Codex or Amp a try, which I never was before.
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Going through the reactions now, so bumping this for last minute entries.
Zvi Mowshowitz@TheZvi
Okay, it's time. Opus 4.6 reaction thread. How big an upgrade is it?
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David Golden retweetledi

I think agentic AI would work much better if people took lessons from organizational theory, which has actually spent a lot of time understanding how to deal with complex hierarchies, information limits, and spans of control.
Right now most agentic AI systems seem to pretend that models have basically unlimited ability to manage subagents when that is clearly not true. We need measures of spans of control for AI. A human tops out at less than 10 direct reports. I am pretty sure that 100 subagents is too much for an orchestrator agent - suspect we need middle management agents (yes, I get it, insert middle management joke here).
Similarly, we need more attention to boundary objects. These are what is handed between groups (marketing to IT to sales) in organizations to convey meaning as a project crosses group boundaries, like a prototype or a user story. Right now agents pass raw text & maybe code back and forth. Structured boundary objects that multiple agents of different ability levels can read and write to would solve a huge number of coordination failures & reduce token use.
I also think aboht coupling, which is how tightly units inside organizations are bound. Most agentic systems are either too tightly coupled (every step needs approval) or too loose (Moltbook). This tradeoff is well-studied in organizations, I bet a lot would apply to agents. Other known issues like bounded rationality also apply, I suspect.
Everyone is rushing towards the (terribly named) agent swarm, but the issue won’t just be how good the model is, it will be org design choices. I am not sure the labs see this, but we definitely need a lot more experiments with organizing agents done by people who understand real coordination issues.
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David Golden retweetledi

This is a petition to get @AnthropicAI / @claudeai code to support the .agents/skills standard, just as these have:
- amp
- codex cli
- factory/droid
- gemini cli
- gh copilot
- kimi cli
- opencode
- vscode
- etc
Like this post if you want them to support .agents/skills ✊
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@umachingunde "Dear boss, when you Slack from your vacation about non-crisis matters, it sends an unhealthy signal that you value face time over work life balance. This encourages a burn out culture that will hurt retention."
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David Golden retweetledi

OK this story was from Wealthsimple, I can now confirm with a name. Their CTO pulled the trigger, and it's going great so far. Respect.
Deepdive on them (and 9 other companies in how they choose new tools): newsletter.pragmaticengineer.com/p/measuring-ai…
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