Philipp Kief

💻 Senior Software Engineer
⚙ Open Source Maintainer

Favorite Hashtags
#javascript + #typescript + #angular + #react + #nodejs

[Philipp Kief @PhilippKief]

@sindresorhus Can understand it. I'm also an open source developer and noticed the same behavior. If people want to contribute, they can still show their (vibe-) coded stuff as a reference in their fork and paste a link in the issues, and then you can allow them to contribute if it's good

[Google DeepMind @GoogleDeepMind]

Introducing Gemini 4 Argon – our new frontier model.

It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

[Philipp Kief @PhilippKief]

@75Jamin Ich dachte mir das auch erst, aber häufig bekommt ein Politiker nochmal das fertige Video (oder Interview) vor Ausstrahlung ja nochmal vorab zugeschickt und kann Dinge eventuell revidieren oder? Falls das in diesem Fall stimmt, hat er das sogar so durchgewunken "ja passt so"

[Philipp Kief @PhilippKief]

@justKDeng I just joined the waitlist. I'm working on my custom AI coding harness and would like to see how jev can improve it. Really interested in trying it out!

[Philipp Kief @PhilippKief]

@soulgoldman @code @materialdesign Yep :)

[Philipp Kief @PhilippKief]

@StefanosXangeL @jreichelt @grok Homogen und ähnlich ist wohl nicht gemeint, aber die Fraktion ist einfach zusammen geschrumpft nach der Wahl

[Claude @claudeai]

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1.

They're the world’s most advanced models for coding and knowledge work.

[Philipp Kief @PhilippKief]

@theo That we don't do code reviews anymore. We shouldn't review every AI generated code, but the part of the code on which our business heavily relies on and which would cost us millions of dollars to fix it, we should understand how that part works.

[Z.ai @Zai_org]

Introducing GLM-5.3-Flash

- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips

Blog: https://t.co/tzOmB7gdZP

Available now across all official platforms:

Weights: https://t.co/9LRMahY9Wa
API: https://t.co/VcaQnzYmS9
Coding Plan: https://t.co/Nk8Y98HNhU
ZCode: https://t.co/Peepqv4XSx
Chat: https://t.co/WCqWT0qCQb
AutoClaw: https://t.co/aGEG5HqTTb

[Qwen @Alibaba_Qwen]

We promised open weights for Qwen3.8. Now, time to meet them! 🎉

⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.

🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.

Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!

Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face：
https://t.co/4kaAcqYEVj
- ModelScope：
https://t.co/eRIMZCGkhC

[Philipp Kief @PhilippKief]

@BenjaminPasero @AnthropicAI Awesome, congratulations 🎉

[Qwen @Alibaba_Qwen]

Less than 2 hours to say hi👋. It's almost time!
See you soon: 👀
https://t.co/rXzUQ4d6WQ

[TypeScript @typescript]

📣 The moment is here. 📣

TypeScript 7 is officially released! 7️⃣

https://t.co/D7Mbq7vWpy

[Philipp Kief @PhilippKief]

@twtayaan This sounds really good! However,it's important to mention that Docker Desktop != Docker. You can use https://t.co/0FfyPiRdfU for example to run it on Mac OS or Linux for free already

[TypeScript @typescript]

📣 TypeScript 7's Release Candidate is now out! 📣

The new native port is almost here. Try it out on your codebases, and make sure your team is ready for the upcoming 7.0 release!

https://t.co/WBCvxYHoJX

[Georgi Gerganov @ggerganov]

llama.cpp now has an official website: https://t.co/vztdUpdBWL

Our goal is to make local AI accessible to everyone, and improving the user experience is a big part of that. On the new landing page you’ll find a single-line cross-platform installer. The installation provides a single unified `llama` entrypoint which you can use to run/serve models and interface with 3rd-party agentic applications.

While oriented towards simplified user experience, the new `llama` application also provides all the advanced functionality of the existing llama.cpp tooling with which experienced users are already familiar. Also note that all GGUF models that you might have already downloaded with llama.cpp in the past will be automatically available to use without downloading again (they are stored in the common HF cache on your machine).

We have many improvements in the pipeline both at the UX and at the engine level and we plan to iteratively ship new things over the coming months. One of the main focuses will be seamless integration with local-friendly 3rd-party agents (such as Pi). In the meantime, we’ll continue to listen for feedback from the community and adjust accordingly, so keep letting us know what you think and need.

[Philipp Kief @PhilippKief]

Stop waiting for library maintainers! Fix broken NPM packages in minutes without forking repositories or publishing custom versions. #JavascriptDevelopers #Development

➡️ https://t.co/pV5dtFEQRf

[Zed @zeddotdev]

It's finally here. Zed is available on Windows.

Built from scratch, and rendering at 1 million pixels/millisecond.

Download it today 👇

[Philipp Kief @PhilippKief]

I really like how AI agents get more structure with #vscode and the new Todos MCP api. That gives the Agent a better structure to follow and makes it easier to understand at which step it is currently working on #ai #development

[Visual Studio Code @code]

AI out here writing Terraform like it’s 2021?

Fix that.

Custom instructions, prompts, and chat modes for Copilot →

https://t.co/HAMqYtZGtV