An early beta of Grok Build, an agentic CLI for coding, building apps, and automating workflows is now available for SuperGrok Heavy subscribers.
Through this early beta, we will improve the model and product based on your feedback.
Try it at https://t.co/bpTHpjivWD
1. Do more in parallel
Spin up 3โ5 git worktrees at once, each running its own Claude session in parallel. It's the single biggest productivity unlock, and the top tip from the team. Personally, I use multiple git checkouts, but most of the Claude Code team prefers worktrees -- it's the reason @amorriscode built native support for them into the Claude Desktop app!
Some people also name their worktrees and set up shell aliases (za, zb, zc) so they can hop between them in one keystroke. Others have a dedicated "analysis" worktree that's only for reading logs and running BigQuery
See https://t.co/yXde5dW1vZ
@thorstenball It looks nice but can you reason about what is actually happening behind the scenes? Allocations, number of threads behind, how much time you were waiting on I/O for each task, etc.?
@eatonphil@AlexMillerDB What are your favorite books/reads on specifically designing I/O intensive applications? Preferrably something that would compare different approaches like single-threaded epoll like libuv, goroutines, rust tokio-like runtime, etc.?
Introducing a Short Course Series on Advanced RAG Orchestration ๐ช๐ค
As an AI engineer, it can be daunting to dive into how to build high-quality, advanced RAG yourself - thereโs literally hundreds of options at every stage of the pipeline.
Easily stitch together custom modules into DAGs over your data, with observability baked in (here we show @ArizePhoenix ๐ฌ).
Check out our first course in the series on query pipelines. We show you how to compose basic workflows like prompt chaining, output parsing and streaming to advanced RAG with query rewriting, retrieval, and more.
YouTube: https://t.co/6hjuoADLcv
Compiled all of my notes for quant trading.
Made this doc earlier this year and recently found it again. For context, I did several trading internships in college (HRT, SIG, Peak6) and compiled this with friends.
Includes:
> general textbooks to read
> interview question banks
> book and website recommendations
> where to apply
> misc. info
Hope it's helpful, and definitely let me know if there's anything missing :) Would love for it to be as comprehensive as possible
notes: https://t.co/fILpRVgdOi
This is crazy.
Characters in this video game are hooked up to an AI language model.
Now watch this player go around and tell them that they are an AI in a video game...
Makes us question our own reality doesn't it?