Arne Strickmann

576 posts

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Arne Strickmann

Arne Strickmann

@arnestrickmann

Building @emdashsh, @ycombinator W26

Katılım Temmuz 2020
1.3K Takip Edilen1.8K Takipçiler
Arne Strickmann
Arne Strickmann@arnestrickmann·
Open-weight models, and GLM-5.2 in particular, are capable of handling complex coding tasks. Run GLM-5.2, Kimi-K2.7, or any other model in Emdash with your preferred harness.
Emdash (YC W26)@emdashsh

Use GLM-5.2 (@Zai_org) in Emdash ➡️ GLM-5.2 is built for long-horizon coding work: understanding large codebases, following repo conventions, and completing multi-step engineering tasks. ➡️ It’s open weight, MIT licensed, supports a 1M-token context window, and offers strong price-performance compared to closed frontier models.

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mahir
mahir@slobkebap·
looking for one more cracked founder for tomorrow's Claude for Founders event in Berlin to showcase their flow, anyone we NEED to have?
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Adhyaay Karnwal
Adhyaay Karnwal@AdhyaayK·
@emdashsh Can yall add local gh cli support bc I don’t want to have to connect emdash to my org, but still be able to use it properly
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Emdash (YC W26)
Emdash (YC W26)@emdashsh·
What's new in Emdash v1.1.38: - New chat UI powered by ACP - GPT-5.6 Sol, Muse Spark 11, and Grok 4.5 - Notion integration - Oh My Pi and Zero CLI support - Storage management - Drag terminals into task tabs - Voice mode support on macOS - Task archive shortcut: ⇧⌘E Plus lots of fixes and improvements.
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Ali Ghodsi
Ali Ghodsi@alighodsi·
At 11k employees, our AI costs are going up. Which model & harness should we use to lower cost but also retain great quality? We didn't want to blindly trust public benchmarks. So we ran a comprehensive evaluation on our tasks, code base, infra. It's been produced by more than 3,000 software engineers, spans 3 hyperscalar clouds and many languages and tasks. The results are surprising. We find that for the SAME mdoel, the choice of harness can significantly save costs (~2x). We also find that GLM 5.2 performs extremely well. We run Omnigent in front of these and can easily multiplex different harnesses and models for different tasks. Check it out: databricks.com/blog/benchmark…
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Arne Strickmann
Arne Strickmann@arnestrickmann·
Symptom of the LLM era: intentionally added typos in posts and articlöes
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Marty Kausas
Marty Kausas@marty_kausas·
i'm so sick of using claude code in a terminal i'm not coding. who has made a great app that i can use with any model?
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raban
raban@rabanspiegel·
New home: emdash.ai
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Federico Miras
Federico Miras@fefomiras·
@emdashsh Emdash has quietly become my daily driver — parallel Claude Code agents in worktrees just works.
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Baran
Baran@f14wn·
sunday is lagday
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Marc Klingen
Marc Klingen@marcklingen·
chat/cowork/code switchers are all not great LM Studio has figured this out a long time ago (and then scrapped it again lol, old screenshot) Pattern only makes sense as chat > cowork (> code) is mostly purely incremental in capabilities and complexity
Marc Klingen tweet media
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Arne Strickmann
Arne Strickmann@arnestrickmann·
GPT-5.6 Sol is now live in Emdash. Compare it against Fable, GLM-5.2, Kimi-K2.7, or any other model.
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