Shen Zhuoran @CMS_Flash
Reasoning/coding @xai. Ex-@GoogleAI Resident/@augmentcode. Alum @HKUniversity. 💎 Terran @StarCraft II. cmsflash.github.io San Jose, CA, United States Joined February 2016-
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3wks in and I'm getting my @xai badge! It's quite crazy that I've been a core part of a major @grok release just 3wks into my tenure @xai! (And we're 🍳 more exciting stuff!) It's been very exciting to work w/ the limitless scope, intense priorities, and an extremely…
So far comments mentioned: 1. Dropping whole codebases 2. Large external refs (books/3P libs/huge specs) 3. Large logs 4. Refactoring 5. Many image turns Any more creative use cases? What if the model is real fast & cheap? Like 1M toks at the cost/latency of 200K for Sonnet?
So far comments mentioned: 1. Dropping whole codebases 2. Large external refs (books/3P libs/huge specs) 3. Large logs 4. Refactoring 5. Many image turns Any more creative use cases? What if the model is real fast & cheap? Like 1M toks at the cost/latency of 200K for Sonnet?
Just look at the graph: it's so alone in the top-left corner!
We went to from nowhere on the leaderboard to #1 by a fat margin in mere weeks!
This has been so long awaited and it finally happened. $20/mo for @augmentcode!
This has been so long awaited and it finally happened. $20/mo for @augmentcode!
After 1.5 yrs, today will be my last day @augmentcode. It has been such a fulfilling journey: 1. In early 2024, I pre-trained a coding LLM to reach SOTA at 1B scale. 2. In mid 2024, I built long-context support in our in-house training and inference frameworks. 3. Late 2024 to…
The power of community!
"Both safe enough to last and beautiful enough to be worth lasting for." That's quite profound.
"Both safe enough to last and beautiful enough to be worth lasting for." That's quite profound.
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
Today's jumpscare in @TheRundownAI 😅.
try using Responses API with gpt-5:
Man it's crazy how BIG a difference it makes for GPT-5 just by switching from Completions API to Responses API. We're cooking @augmentcode.
Advanced users of @augmentcode have been hitting the 200K context limit quite a bit. We shipped features like context compression/summarization to help alleviate such issues and continue long threads. With 1M context, we will be able to have agents do hours of work in 1 thread.
Advanced users of @augmentcode have been hitting the 200K context limit quite a bit. We shipped features like context compression/summarization to help alleviate such issues and continue long threads. With 1M context, we will be able to have agents do hours of work in 1 thread.
LOL this is cool
Agents fail when they forget the past. That’s why we built Context Lineage — it gives agents access to your repo’s full commit history, so they stop repeating mistakes and start learning from prior work. Here’s how it works 🧵
Agents are truly powerful when they can do hours of work with 1 prompt. Tasklist is the way to structure hours of work with clarity so you only need to spend a few minutes checking in for the agents' hours of work.
Agents are truly powerful when they can do hours of work with 1 prompt. Tasklist is the way to structure hours of work with clarity so you only need to spend a few minutes checking in for the agents' hours of work.

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