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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 次观看 • 4 天前 •via X (Twitter)

16 条评论

David Broadhurst 的头像
David Broadhurst4 天前

@katelyn_lesse @latentspacepod Assuming they have AI forever

Somi 的头像
Somi4 天前

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

ᛗᚨᚱᚴᚢᛋ 的头像
ᛗᚨᚱᚴᚢᛋ4 天前

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

0xSol 的头像
0xSol4 天前

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

__Josué_Kouka__ 的头像
__Josué_Kouka__4 天前

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

Алексей Велик 的头像
Алексей Велик4 天前

@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?

Jongwhan Lee 的头像
Jongwhan Lee4 天前

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

claude shannon 的头像
claude shannon4 天前

@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

Ilpo Leppänen 的头像
Ilpo Leppänen4 天前

@katelyn_lesse @latentspacepod

FredLaBombe 的头像
FredLaBombe4 天前

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

Conrad Roberts 的头像
Conrad Roberts4 天前

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

Persona 的头像
Persona4 天前

@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

Temel Günaydın 的头像
Temel Günaydın4 天前

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

maguyva 的头像
maguyva4 天前

@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

Catalin Adler 的头像
Catalin Adler4 天前

@katelyn_lesse @latentspacepod *big* rewrite.

AI Lorekeeper 的头像
AI Lorekeeper4 天前

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

相关视频

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

66,921 次观看 • 5 个月前