Hey, yep. A few things I personally used dynamic workflows for over the last few weeks:

1. Autonomously landed 20+ optimizations to reduce Claude Code's token usage by ~15%

2. Ported tree-sitter, color-diff, yoga-layout, and a number of other WASM and Rust native modules to TypeScript, improving CPU and memory use by 2-10x in the process

3. Made our CI faster, and repeatedly found and fixed flaky tests (with /loop)

4. Migrated from regex-based bash static analysis to tree-sitter, reducing false positive permission prompts by 45%

5. Reduced Claude Agent SDK startup time by 61%, by repeatedly profiling and optimizing the startup path, putting up a number of PRs in the process

6. Shipped 69 code simplification PRs, deleting >10k lines of code

> Ported tree-sitter, color-diff, yoga-layout, and a number of other WASM and Rust native modules to TypeScript, improving CPU and memory use by 2-10x in the process

Curious to learn more on this (unless there’s a write-up in the works). I’m naive on this matter but:

1. is this because it’s higher cost when passing objects back and forth across the JS/native boundary? 2. Does this have anything more specific to do with use of Bun? 3. is the stance for claude code then to keep all the deps in raw TypeScript? 4. How do you folks keep these ported deps up-to-date?

this feels more like a PR statement than a description of how you used the tool though

Is there not a reason to instead port claude code to rust? Do you have internal benchmarks that show that claude code is better at typescript than rust?

Very cool. What % of the CC team's engineering would you say goes into QoL (as opposed to new feature development)? Obviously some live in a grey area, while others are more clear like making CI faster.

You _reduced_ its _efficiency_? Why do you make CC more inefficient?

None of those are helpful examples we could mimic to figure out how to use the tools.

This reads like a CV, not trying to help or educate.

Boris, what are your thoughts on WASM as a technology and it's practical implications for AI in the future?