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reacted to theirpost with 🔥 about 10 hours ago
Built a WeChat Mini Program in 20 minutes flat with Hy3 Preview + WorkBuddy…
and I didn’t type a single line of code. Not even a semicolon.
This Coding Agent is on steroids. Its comprehension in long back-and-forths is night and day better, and that 256K context window swallows the entire project structure whole.
Tell it what you want, and it actually gets the full picture no confused blank stares from the AI.
And we’re not messing around with dinky little code snippets here. It spits out a fully functional project
app.json, every page’s wxml/wxss/js/json, even Mock data pre-packed. Import it into WeChat Dev Tools and it runs on the first try
Only one tiny visual nitpick, zero logic bugs. Point out the flaw, and it fixes it instantly no new bugs, no passive-aggressive code breaks, no headaches
The entire vibe Tell it your idea → Get a complete working project → Mention a tiny flaw → AI polishes it.
No coding, no endless edits, no soul-crushing debugging that makes you want to throw your laptop. Absolute game-changer reacted to wangbuer999's post with ❤️ about 10 hours ago
Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined. reacted to imnotkitty's post with ❤️ about 10 hours ago
https://huggingface.co/spaces/tencent/Hy3-preview is out: an open-weights MoE reasoning model.
✅ 295B total / 21B active / 256K context
✅ Fused fast-and-slow thinking in a single model
✅ First model trained on Hunyuan's rebuilt pretraining + RL infra (Feb → Apr)
Benchmarks:
👉 SWE-Bench Verified, Terminal-Bench 2.0, BrowseComp, WideSearch — competitive results, particularly strong on agentic tool use
👉 Top score on Tsinghua's 2026 Spring math PhD qualifying exam
👉 Strong context-learning and instruction-following on Tencent's CL-bench / CL-bench-Life
More details can be found in my article: https://huggingface.co/blog/imnotkitty/hy3-previewOrganizations
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