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hello, world! i'm daniel! currently i'm the head of r&d of MiniMax code @MiniMax_AI, which is a frontier ai lab in china.
i enjoy working on our ai-native product @MiniMaxAgent . i'm really obsessed with this question: what does an ai-native organization look like? how can our organization co-evolve together with llms?
besides that, i'm passionate about open source. i'm the co-author of the deerflow project, which is a representative work in harness engineering and has 78k 🌟 on github.
if you're passionate about open source, foundation models, or agents- or if you enjoy playing basketball or riding a road bike - let's chat and be friends! :)
Thanks to Zhihu Frontier for having me. Really glad to share a few thoughts on building coding agents at MiniMax: the harness matters as much as the model, and we're still very early. 🚀
Coding Agents are everywhere. But we're barely past the beginning. 🤖📖
In 「Researcher on AIR」 Vol.04, 何涛@Ronny_MiniMax , Head of MiniMax Code R&D, shares why building reliable AI agents is far more complicated than simply asking them to write code.
From engineering the harness that guides agents to unexpected failures—including an agent creating a group chat without permission—his experiences reveal how much work remains.
He trusts agents with everyday parenting tasks, but not unchecked production deployments.
The Agent era has started. The real engineering challenges are just beginning. 🚀
Special thanks to AIE for the support!
#Zhihu #AINow #CodingAgents
Bring Complex Ideas to Life One idea. A world of uses.
H3 Image Now Live on @MiniMax_Code
4K image generation in 10 seconds! ⚡
Meet MiniMax H3-Image.
16 million pixel resolution. Stunning realism. Precise prompt following & editing. Up to 16 reference images. All in 10 seconds.
And it's open-weight. 🚀
Available now via our API, MiniMax Code, and Hailuo AI — with 50% off 16MP+ generations during launch week!
Can't wait to see what you create. 🔥
Hugging Face: huggingface.co/MiniMaxAI/Min…
API: platform.minimax.io/docs/gui…
MiniMax Code: code.minimax.io/about
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
Recommending the "drink big water" theory.
Ever since I started drinking big water, my coffee cravings have dropped exponentially.
After a highly insufficient evaluation, my pick: Nongfu Spring, the 1.5L one.
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For Agent OS, I think an Apple-like ecosystem starts with an Apple-quality product: something people find useful and enjoy using every day.
Help more people get things done, and developers will have a reason to build around it.
By that standard, MiniMax Code still has a long way to go. I’m less concerned with when we can call it an “Agent OS” than with how we reach our own MacBook Air moment—when people don’t need to care about the technology underneath to find it worth using every day.
Same model, different harness: up to 18 points apart. We treat harness engineering as an experimental science while building MiniMax Code.
Hypothesis → control → measure → keep or cut.
Skills we actually use: github.com/MiniMax-AI/mcode-…
My family was stuck outside today. The smart lock accepted the password and even said "unlocked", but the door wouldn't open. A locksmith came, said he'd have to pry it, and still charged a call-out fee.
When I got home, MiniMax Code walked me through it step by step. It was just a settings issue. Door opened. That's AI helping in real life.
Had a wonderful time at AI Engineer Shanghai—grateful for the chance to give a talk and meet so many great people building with AI.
One idea I hope you'll take away: stay curious. We don't have all the answers about how agents will evolve, so run your own experiments. Let what you learn—not someone else's recipe—guide what you build.
Slides: o8yvpj0mlmb6b.space.mcode.cn
If you're building with coding agents, give MiniMax Code a try. We'd love to hear what you think.
code.minimax.io/about
Huge thanks to @aiDotEngineer, @SophiaXH25, and all the friends who made this such a special event!
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Agents made experiments almost free. Now the scarce skill is asking the right question and designing the right control. And if your curiosity isn't in AGI anymore, leave.
Glad to attend the AI Builders Demo Night by @daytonaio in Shanghai and give a talk on harness engineering, with lessons from building MiniMax Code.
As models get stronger, the harness should let go of judgment and keep control of invariants.
Slides: icowspr0l3ibk.space.mcode.cn
Great builders, great demos, great night. Thanks @daytonaio for having me.
Daytona is heading to @aiDotEngineer Shanghai next week!
We're exhibiting and hosting AI Builders Demo Night on Nov 4, featuring Tinsley Shi (@Google), @Ronny_MiniMax (@MiniMax_AI), and @ivanda_mislav (@daytonaio).
RSVP: luma.com/ai-builders-shangha…
MiniMax Code now has a Python SDK.
pip install minimax-code-sdk
Async and sync APIs, multi-turn threads, streaming events, structured errors. Drop MCode into your scripts, evals and data pipelines.
github.com/MiniMax-AI/minima…



















