Android Developers’ Post

I just put together a quick tutorial on how I made this entire video in MxM using GPT Image 2 + Seedance 2.5. Starting with one image and scene I had in my mind, building the characters and reference frames, using Claude to help tighten the prompts, and then bringing everything into Seedance to create the final 30-second video. The interesting part for me is how much better video generation gets when you do more of the creative thinking before you hit generate. The entire final video ended up taking only 2 Seedance 2.5 generations. Here's the entire workflow 👇

My current model selection as of August 2026: Writing code: DeepSeek V4 Flash, GPT-5.6 Luna, Xiaomi MiMo 2.5 Pro, Thinking Machines Inkling, Poolside Laguna S 2.1 Frontend and UI: Kimi K3, GPT-5.6 Luna/Terra/Sol Debugging: DeepSeek V4 Flash/Pro, GPT-5.6 Terra/Sol, Qwen 3.7 Plus Code review: GPT-5.6 Terra/Sol, Qwen 3.7 Plus, Xiaomi MiMo 2.5 Pro, Ling 3.0 Resolving merge conflicts: GPT-5.6 Terra, Qwen 3.7 Architecture and design: DeepSeek v4 Pro, GPT Sol, Kimi K3 Everything else: DeepSeek V4 Flash Notably absent: Claude. It’s way too expensive for no good reason.

1/ Poolside has released Laguna S 2.1, an agent-based coding model with only eight billion active parameters that holds its own against much larger systems in benchmark tests. 2/ A "Thinking" mode significantly boosts the model's success rate, with Poolside focusing on improved persistence and verification rather than simply scaling up model size. 3/ In practical tests, the model independently built a browser engine and solved a math problem that had gone unsolved since 1975. It is freely available under an open license on platforms like Hugging Face. More: https://lnkd.in/eNDfKMDz

Integrate Stream Chat, Video, and Audio components to build any dating app like Bumble or Tinder. Get started with Stream Skills and CLI, and your favorite coding agent, Fable 5, Opus 5, GPT-5.6, or Kimi K3 in just 5 minutes. Stream Skills: https://lnkd.in/ddmn-99Y Stream CLI: https://getstream.io/cli/ skills.sh: https://lnkd.in/dY9aDkYW

Guys. Kimi K3 just dropped and independent testers put it at the level of Claude Opus 4.8, and in some tasks like Long Horizon coding, It outright beats GPT 5.6, Sol and Fable 5. And the crazy part is that its full weights will go Open source on July 27. And this is again a deep seek moment because while the US is cracking down on its own models and Anthropic is forced to have absurd guardrails on Fable 5. On the other hand, China is launching open weights model one after the other, matching the Frontier capability, not to mention at a fraction of cost and much lower guardrails. At this point it's a no brainer for many teams to switch to Kimi K3. Do share this around.