Regular pricing for AIE CODE is extended to October 30. $1,299 + fees for talks + expo, November 11–12 in San Francisco. Final tier: $1,499...

The Bun rewrite story, from @jarredsumner of @AnthropicAI. He's joining our Rewrites track at AIE CODE. November 10 to 12, San Francisco. ...

You need compute in 48 hours. Why call 300 salespeople? @carmenli on why Compute Exchange is built as a neutral marketplace—and why it does...

Build the benchmark from your team's actual coding tasks. @zachlloydtweets at AIE NY on measuring agents and improving the software factory...

Build the benchmark from your team's actual coding tasks. Zach Lloyd at AIE NY on measuring agents and improving the software factory aroun...

We are pleased to announce that @trq212 will be returning to AIE to share what's now and what's next! http://aie.codes will be the last fla...

Diogo Almeida and the TypeSafe AI team are bringing Jev to AIE CODE. System One models and what people are building with them. November 10...

How do you build a market for compute? The WSJ profiled @carmenli. At AI Engineer New York, she walked through verified GPU capacity, forwa...

Your coding agent's verbosity is a code review problem. Ben Holmes at AIE NY on scoring redundant tests and noisy explanations. Scaling wi...

Scaling without Slop: Melvin Johnson, Google DeepMind System One models: Diogo Almeida, TypeSafe AI The Bun rewrite: Jarred Sumner, Anthropi...

Only the baker knows what the bakery needs. @seldo of @arizeai on where the bottleneck moves as code gets cheaper: understanding the busine...

Three more AIE Code Summit speakers 👀 @lydiahallie, Member of Technical Staff @ Anthropic Utkarsh Shrivastava, Engineering Leader, Enterpr...

Laptops open. Workshop day at AI Engineer New York, October 12. A few photos of the people on the other side of the podium. Photos by Ad ...

Your agent's compute needs change mid-run. @akshat_b of @modal walks through CPU and memory demand in Ramp's sandboxes. Provisioning every...

Your human evals need calibration too. @cwolferesearch explains the loop: define quality, have multiple people rate the same examples, then...

Inside Grok Bot: is the agent harness dead? @jediahkatz of @spacexai explains why smarter models let Cursor remove prompts and guardrails, ...

Turn today's code reviews into tomorrow's agent context. @tommoor of @linear shares a daily loop: pull lessons from merged PRs and reverts ...

Fast vector search is only useful if the right documents survive filtering. Aaron Linsky explains Bridgewater's tradeoff between post-filte...

What wakes your agent up? Aparna Dhinakaran of @ArizeAI walks through Signal's triggers, sandbox, proxy, traces and saved outputs. 78 seco...

Six months building a data dictionary is AI engineering. So are evals that catch wrong business answers and permissions that limit what an ...