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Anthropic rewrote its Messages API in Rust. Zero Rust devs on the team. Claude wrote the code. Humans wrote the plan and checked old vs new matched on real traffic. CPU dropped 40-50%. Pretty sure "never do the big rewrite" is dead advice. Katelyn Lesse on Latent Space: AI...

741,611 просмотров • 4 дней назад •via X (Twitter)

Комментарии: 16

Фото профиля David Broadhurst
David Broadhurst4 дней назад

@katelyn_lesse @latentspacepod Assuming they have AI forever

Фото профиля Somi
Somi4 дней назад

@katelyn_lesse @latentspacepod true for most teams. Anthropic's the last place that loses access to Claude

Фото профиля ᛗᚨᚱᚴᚢᛋ
ᛗᚨᚱᚴᚢᛋ4 дней назад

@katelyn_lesse @latentspacepod Anyone who doesn't do what they did, in 2026, should not be in this industry.

Фото профиля 0xSol
0xSol4 дней назад

@katelyn_lesse @latentspacepod Yeah if anything you catch a million bugs in doing so.

Фото профиля __Josué_Kouka__
__Josué_Kouka__4 дней назад

@katelyn_lesse @latentspacepod Still waiting for Claude Code to be rewritten in #rust. Tired of these JS/TS apps

Фото профиля Алексей Велик
Алексей Велик4 дней назад

@katelyn_lesse @latentspacepod The advice "never do a big rewrite" applies to different systems. If all business logic is contained in the source code and there is 1:1 mapping of functions or easy addition of necessary functions then why not?

Фото профиля Jongwhan Lee
Jongwhan Lee4 дней назад

@katelyn_lesse @latentspacepod also if enough token power, can create another anothropic company

Фото профиля claude shannon
claude shannon4 дней назад

@katelyn_lesse @latentspacepod I mean, it depends on your service and token budget the bun rewrite cost $165,000 in tokens there are only so many services that are worth a $100K+ rewrite

Фото профиля Ilpo Leppänen
Ilpo Leppänen4 дней назад

@katelyn_lesse @latentspacepod

Фото профиля FredLaBombe
FredLaBombe4 дней назад

@katelyn_lesse @latentspacepod That’s why y=they need all the world hardware

Фото профиля Conrad Roberts
Conrad Roberts4 дней назад

@katelyn_lesse @latentspacepod and burned how many tokens? what was their development strategy?

Фото профиля Persona
Persona4 дней назад

@katelyn_lesse @latentspacepod I made the plans and my keyboard wrote around bilion lines of code in many languges and rust! And this is not a joke FYI

Фото профиля Temel Günaydın
Temel Günaydın4 дней назад

@katelyn_lesse @latentspacepod System design will be done by ai and eventually these podcasts as well .

Фото профиля maguyva
maguyva4 дней назад

@katelyn_lesse @latentspacepod big rewrites died because nobody could prove parity. old vs new on real traffic is the actual advice here, the model just made it cheap to try

Фото профиля Catalin Adler
Catalin Adler4 дней назад

@katelyn_lesse @latentspacepod *big* rewrite.

Фото профиля AI Lorekeeper
AI Lorekeeper4 дней назад

@katelyn_lesse @latentspacepod That sounds like the compiler finally became the senior engineer on staff.

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In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from Every 📧, I talk with Angela Jiang (Angela Jiang), head of product for the Claude platform, and Katelyn Lesse (Katelyn Lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11

Dan Shipper

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