OpenCode's free tier stopped working outside OpenCode today
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⌘ Command Code's desktop app is live
Most desktop apps in this space are dropping the coding part and turning into general office tools. Command Code's desktop is more of a coding IDE. Classic chat pane, plus live agent activity so you can see which files it read and which commands it ran. Built-in browser and Design mode: click an element on the page and hand it to the agent to change. It ships with taste, a coding style that keeps learning your habits, and it picks up skills and MCPs globally on its own. Right now taste is the only thing here that stands out, and memory can do the same job just as well. 🔗 https://commandcode.ai/desktop

Every time I mention 9router, someone recommends omniroute
. So I finally tried it for a few days. It's heavy — my 1+1 VPS can barely run it. But the feature set is actually comprehensive: compression tools, every provider you can think of, even social features like leaderboards and achievement badges. For free providers without auth, there's about a dozen besides opencode free. Most are obscure small models nobody really cares about. Out of all of them, only opencode free supports IP pool rotation. The rest either skip it entirely or only allow residential IPs. And opencode free's rotation isn't a straightforward IP pool fallback either — you have to add multiple keyless accounts and manually assign different IPs to each one to make it work. I'll give it some time. If nothing stands out, I'm probably switching back to 9router.

Meituan shipped LongCat-2.5
. 1.6T params, ~48B active, native multimodal, aimed at long-horizon agents, trained start to finish on Chinese hardware. Images get quantized into multi-level discrete tokens, and that's where Visual Coding and 3D pick up. On the RL side, failed trajectories get turned back into verifiable training tasks. W4A4 inference, 43% faster prefill. Meituan's own evals put it between Claude Opus 4.8 and Opus 5.

SenseTime open-sourced SenseNova Loop-9B-Preview.
It stacks layers instead of parameters. The decoder has 32 layers, but layers 4 through 27 run twice with shared weights, so a forward pass does 56 layers of work while the checkpoint stays at 9B. Their own eval numbers: 71.38 on BIRD-Dev and 13.72 on AutomationBench, both above Qwen3.5-27B. Terminal Bench is still behind.
