qwen-code

Wouldn't a fair criticism of OTEL be that you only see what these harnesses are willing to show you? There have been numerous scandals of AI companies offering CC/cursor alternatives, then indexing data they never should have; specifically Z.ai [0], ByteDance Trae [1] and Alibaba Qwen [2]. Maybe the argument should be that all harnesses should be sandboxed and monitored for all networking. If it were me, all AI harnesses would be running on a VM with network logging enabled. Beyond not being able to trust what data they send via the harness, you should audit what data they access. [0] https://www.chosun.com/english/industry-en/2026/09/22/ABYLC3... [1] https://github.com/segmentationf4u1t/trae_telemetry_research [2] https://github.com/QwenLM/qwen-code/issues/11198

See also: agent harness in 50 lines (based on mini-swe-agent). https://minimal-agent.com/ I followed this tutorial earlier today and I'm having a lot of fun with it. https://gist.github.com/a-n-d-a-i/cb5e929b4c87b8d185760d0264... I added a 2nd while loop so that it takes user input. And vendored my tiny llm lib (so it's 150 lines now, and dependency free :) --- As for context-sculpting, the economics are different when not touching the context gives you the >98% discount everyone's doing now. (Although it might be worth fiddling with the suffix... not sure yet!) e.g. this issue: "ToolSearch saves ~15K tokens per request in prompt size, but at the cost of breaking prefix-based caching for models like DeepSeek that rely on stable prefixes. For heavy users of DeepSeek through OpenRouter, the savings from smaller prompts are dwarfed by the in

Kind of glad that I missed the Cursor hype then rapid slide into enshittification, since I didn't think its goal of replacing an IDE would be a winning strategy and instead went for IDE plugins/extensions AI assistants like Augment Code, GitHub Copilot and Gemini Code Assist as they work in both Rider/Intellij, VS Code and NeoVim. I'm assuming I don't use AI as much as most devs as I'm still comfortably within Augment Code's 600 user messages/mo dev plan limit which IMO is great value for being able to use its Context Engine. If I ever exceeded that I'd likely temporarily switch to Qwen Coder's effectively unlimited free tier [1] until the next quota refill. Not sure if Augment's going to increase their prices or downgrade their quotas since they're still at the whims of Claude Sonnet / GPT 5 API pricing, but if they do I'd be looking at

Yeah you can, so long as you're hosting your local LLM through something with an OpenAI-compatible API (which is a given for almost all local servers at this point, including LM Studio). https://opencode.ai and https://github.com/QwenLM/qwen-code both allow you to configure any API as the LLM provider. That said, running agentic workloads on local LLMs will be a short and losing battle against context size if you don't have hardware specifically bought for this purpose. You can get it running and it will work for several autonomous actions but not nearly as long as a hosted frontier model will work.

There is an open feature request https://github.com/QwenLM/qwen-code/issues/88

You can use Claude Code against Kimi K2, DeepSeek, Qwen, etc. The 20$ a month plan gets you access to a token amount of sonnet for coding, but that wouldn't be indicative of how people are using it. https://gist.github.com/WolframRavenwolf/0ee85a65b10e1a442e4... We gave Gemini CLI a spin, it is kinda unhinged, I am impressed you were able to get your results. After reading through the Gemini CLI codebase, it appears to be a shallow photocopy knockoff of Claude Code, but it has no built in feedback loops or development guides other than, "you are an excellent senior programmer ..." the built in prompts are embarrassingly naive. Qwen has it's own agent which I haven't used https://github.com/QwenLM/qwen-code Another is https://github.com/sst/opencode

Well, if you download Qwen Code https://github.com/QwenLM/qwen-code it is free up to 2000 api calls a day. Not sure if GLM-4.5 Air is good, but non-Air one is fabulous. I know for free API access there is pollinations ai project. Also llm7. If you just use the web chat's you can use most of the best models for free without API. There are ways to 'emulate' an API automatically.. I was thinking about adding this to my aicodeprep-gui app so it could automatically paste and then cut. Some MCP servers exist that you can use and it will automatically paste or cut from those web chat's and route it to an API interface. OpenAI offers free tokens for most models, 2.5mil or 250k depending on model. Cerebras has some free limits, Gemini... Meta has plentiful free API for Llama 4 because.. lets face it, it sucks, but it is okay/not bad for stuff lik

Wait no, looks like that's https://github.com/QwenLM/qwen-code

The "qwen-code" app seems to be a gemini-cli fork. https://github.com/QwenLM/qwen-code https://github.com/QwenLM/qwen-code/blob/main/LICENSE I hope these OSS CC clones converge at some point. Actually it is mentioned in the page: we’re also open-sourcing a command-line tool for agentic coding: Qwen Code. Forked from Gemini Code