Seems like every AI company is either a) rolling out LangGraph, or b) rolling their own LangGraph.
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Anson MacKeracher
2.2K posts
Anson MacKeracher
@amackera
Engineering Currently @call_hyper Previously @mangrovecarbon, @ada_cx, @tophat, @LegalMateCo, @UWaterloo
Vancouver, BC Katılım Haziran 2008
433 Takip Edilen419 Takipçiler
To write the perfect prompt, one must first perfect oneself.
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Anson MacKeracher retweetledi
We've built a coding agent that outperforms Claude Code on long tasks.
On the OOLONG long-context benchmark, Volt beats Claude Code everywhere from 32k to 1M tokens.
Here's the paper: papers.voltropy.com/LCM
Here's the code: github.com/voltropy/volt
And this a thread explaining how it works: 1/N 🧵
Voltropy@Voltropy
ANNOUNCEMENT: We've built a coding agent that beats Claude Code on long tasks. Today we're releasing it for free. Meet Volt: The coding agent who never forgets. → Dominates Claude Code on the OOLONG long-context benchmark, including at every length from 32K to 1M tokens. → Has unlimited recall. No more amnesia. Volt can code for weeks in a single coherent session. → Massively parallel. One tool call can process thousands of tasks. Like "Map" for LLMs. → Open source and model agnostic. Try Volt today with @openrouter or your API of choice. Volt's performance is the result of a new architecture, Lossless Context Management (LCM), which applies lessons from the history of operating systems and programming languages to LLMs. LCM is like paged virtual memory, except for managing context: - Layer 1. An immutable append-only store of everything that occurs in the coding session. - Layer 2. The active "context window" which functions like a cache layer for navigating to the appropriate section(s) of Layer 1 via a high-fanout DAG. From a user perspective, this feels like an infinite context window, because the model never forgets and performance stays crisp. For the technical details, read our paper: papers.voltropy.com/LCM For the code, go to github.com/voltropy/volt. Or get started with one line: curl -fsSL voltropy.com/install | sh
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Emacs with Eglot is powerful and easy. I know everybody else is thinking about election day, but I've always got Emacs on my mind 😍
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I might be crazy, but it seems like Toronto has about 10x more early stage startup activity going on than Vancouver.
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Setting monthly goals instead of annual. Will check back in February and share how I do on these.
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Ebooks are kinda disappointing to read. You don’t get the satisfaction of closing the book after the last page 😔
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Anson MacKeracher retweetledi
Congrats on the launch, @shihanwan and @noqcks!
@xeol_io (YC S23) is building the modern platform for AppSec engineers to quickly identify, remediate, then enforce security risks in their software supply chain.
ycombinator.com/launches/J4n-x…
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Anson MacKeracher retweetledi
I wish Twitter kept track of all the tweets I've written but never sent due to social anxiety.
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I really enjoyed this book by @ericnormand! Highly recommend picking this one up and digging in.
Eric Normand@ericnormand
My book, Grokking Simplicity, is 50% off when you buy the print edition. ericnormand.me/gs
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@rkhazzam Is he going for the incompetency legal defence? Zero remorse.
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@kentf This is way, way, way better than even the 5th or 6th website I ever made
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Post a screenshot of the first website you made.
I will go first, here is mine from 2005.
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Anson MacKeracher retweetledi
It looks like sales for Grokking Simplicity have tapered off. How to promote it again?
ericnormand.me/gs
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@kentf I feel like many teams get stuck in phase one of this (forever building the API) and never end up shipping the software. Lots of this in the web3 world. It’s easy to feel productive and mistake motion for progress.
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Build the API, then build the software.
Your first customer should be another computer or server.
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