CodeWithLLM-Updates
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It seems China is actively expanding not only into models but also into complete coding harnesses / agent apps.

Kimi K2.7 in GitHub Copilot
https://github.blog/changelog/2026-07-01-kimi-k2-7-is-now-available-in-github-copilot/
GitHub has added Kimi K2.7 Code to Copilot. This is the first open-weight model available in Copilot. Hosted on Microsoft Azure.

MiMo-Code CLI by Xiaomi
https://mimo.xiaomi.com/mimocode
https://mimo.xiaomi.com/blog/mimo-code-long-horizon
https://github.com/XiaomiMiMo/MiMo-Code
Xiaomi is developing its open-source CLI MiMoCode. It supports working with Git, checkpoints, task trees, subagents, compose mode, and voice input. It features persistent memory on SQLite FTS5 and commands like /dream and /distill to extract knowledge and repetitive workflows into skills.

Interestingly, this is not just "another CLI", but an attempt to build a Codex/Claude Code-like agent with its own memory and operating modes. There is a free starting tier called MiMo Auto, OAuth via Xiaomi MiMo Platform, and support for OpenAI-compatible providers.

ZCode App v3 by Z.ai
https://zcode.z.ai/en
ZCode is a desktop application for MacOS/Windows/Linux powered by the top-tier GLM-5.2 model. With v3, Z.ai optimizes the entire agent harness specifically for its model and pricing plans. It looks like a direct clone of the Codex app.

It features plugin management, file rewind with a safety summary, improved command suggestions for prompts, planning, review, deployment, workspace tasks, skills, and multi-agent interaction. You can manage the agent via chat in WeChat, Feishu, or Telegram.

Discussion
https://news.ycombinator.com/item?id=48753715
On HN, the main discussion point is trust. Unlike MiMoCode, ZCode is not open-source, so people are asking about telemetry, sandboxing, and whether running a desktop agent on a primary machine is safe at all. Many comments boil down to best practices: agents are best run in VMs/containers, given separate worktrees, separate GitHub deploy keys, and minimal access to secrets.

Sonnet 5 - Longer and More Expensive
https://www.anthropic.com/news/claude-sonnet-5
Anthropic has released Claude Sonnet 5. Positioning: the most agentic Sonnet yet, closer to Opus 4.8 but cheaper. Available in Claude, Claude Code, and API as claude-sonnet-5. Until August 31, 2026, the price is discounted to $2/$10 per million input/output tokens, after which it will be $3/$15. For comparison, Opus 4.8 is $5/$25.

An additional nuance: the new tokenizer may count the same text as 1.0-1.35x more tokens depending on the content. Meaning, a "cheaper Sonnet" is not always automatically cheaper in reality. The model isn't necessarily smarter, but it shows better results because it is more persistent. Therefore, it can consume a lot of tokens.

Discussion
https://news.ycombinator.com/item?id=48736605
HN met Sonnet 5 with skepticism. Many are asking why use Sonnet 5 for high-effort tasks if Opus 4.8 (low/medium) sometimes offers better value per dollar. Another complaint is that models are becoming more "agentic" but sometimes overcomplicate simple tasks and generate extra work for themselves.

Cursor hosted Compile 26, its developer-focused event dedicated to the future of programming.

https://www.marketwatch.com/story/social-media-declared-cursor-dead-then-spacex-handed-the-ai-startup-a-60-billion-lifeline-50454e29
At Compile, Michael Truell showcased the new Composer—featuring their proprietary 1.5T parameter model, trained from scratch by Cursor using over 100,000 Nvidia GPUs from SpaceX/xAI. In his view, Cursor is no longer just "a better VS Code with a chat", but a platform for agentic programming.

The model may also become available in Grok Build.

https://www.youtube.com/watch?v=fWa7uxyhVDE

https://www.youtube.com/@cursor_ai/videos
Presentations are gradually being uploaded to the official YouTube channel. These are short 10 to 25-minute talks focusing not on "AI replacing programmers," but on how the nature of work is shifting: agent memory, infrastructure for parallel agents, the roles of PMs and senior engineers, training, and quality assurance.

In addition to agent workflows and memory, there are sessions covering note-taking, representation of thoughts, development environments, agency in language, intelligence efficiency, the shifting role of the engineer, and other non-technical topics.

Origin — GitHub for Agents
https://cursor.com/origin
Notably, the most intriguing announcement is Origin, Cursor's new Git platform. On their website, they refer to it as "Git for agents." During the presentation, Origin was explicitly introduced as an agent-native Git platform, ultimately positioned as the beginning of direct competition with GitHub.

Here, agents can interact with repositories, create and handle PRs, respond to comments, fix CI failures, resolve merge conflicts, and ping human developers only when absolutely necessary.

Currently, Origin is active for internal use, while a waitlist has been opened for the public.