Posts

What to Do When AI Coding Tasks Exceed Context Limits or Output Length? When I use the Claude Sonnet 4.6 model for programming, I frequently encounter two situations: A single session’s task exceeds the context limit or output length, causing a significant drop in code quality. AI generates an excessively long response, triggering “Sorry, the response hit the length limit. Please rephrase your prompt.” GitHub Codespaces has a very useful feature: you can see the token consumption status for the current session. ...

Worried about Deepseek returning to full price in June 2026, but unexpectedly it dropped again yesterday Here’s the information from Deepseek’s official website: For all models, the input cache hit price has been reduced to 1/10 of the launch price. This price adjustment takes effect from 2026/4/26 12:15 UTC. The deepseek-v4-pro model API pricing will be officially adjusted to 1/4 of the original price after the 75% discount promotion ends on 2026/05/31 15:59 UTC. ...

TRAE China Version: Real Data on Free Model Speed Let me start with the conclusion: if you use the free models in TRAE China’s version, they will be slower than custom paid models (even when comparing the same model). The free models are mainly slower in 3 aspects: When processing large tasks, free models may display a prompt: “Model has reached the maximum number of thinking attempts. Please type ‘continue’ to get more results.” When this happens, you need to manually type “continue” to proceed. As shown in Figure 1. ...

My Main Reason for Using TRAE: Free Programming LLMs Yes — the TRAE China version lets you try multiple large models for free. As shown in the screenshot, all of these models are available at no cost for trial. Here’s the full list of free models: Doubao-Seed-2.0-Code、 Doubao-Seed-1.8、 Doubao-Seed-Code、 MiniMax-M2.7、 MiniMax-M2.5、 GLM-5.1、 GLM-5V-Turbo、 GLM-5、 DeepSeek-V4-Pro、 DeepSeek-V4-Flash、 Kimi-K2.6、 Kimi-K2.5、 Qwen3.6-Plus、 Qwen3.5-Plus、 But here’s the catch: when using these free models, you often need to wait anywhere from 1 to 10 minutes. In my experience, the average wait is around 3 minutes. But honestly — when you’re heading to bed or stepping away for a coffee, waiting 3–10 minutes is perfectly acceptable. ...

I Think Qwen 3.6 Plus Has Strong Coding Capabilities, But My Costs Are Higher Than Expected I compared two approaches: 1、Using Qwen 3.6 Plus to write large-scale C# programs, then having DeepSeek v4 Pro conduct code reviews; 2、Using DeepSeek v4 Pro to write large-scale C# programs, then having Qwen 3.6 Plus conduct code reviews. I prefer the second approach for these reasons: 1、DeepSeek v4 Pro supports a context length of up to 1 million tokens. For large projects, this helps maintain clear logical connections between modules. Additionally, DeepSeek v4 Pro is currently more affordable (until May 31, 2026, it’s offered at 25% of the regular price—see screenshots in my previous blog). 2、Qwen 3.6 Plus delivers higher code quality but at a higher cost. Using it only for code reviews helps reduce overall expenses. ...

i like deepseek and Qwen Before May 2026, I had never used DeepSeek, Qwen 3.6 Plus, or any other Chinese LLMs for programming. As readers of my previous blog might recall, I primarily relied on GitHub Copilot’s models, favoring Claude Sonnet 3.6 and Claude Opus 4.7 (a bit pricey—if you’re wealthy, pretend I didn’t say that). My secondary choice was GPT Codex 5.3. So when I first considered using DeepSeek or Qwen 3.6 Plus, I was skeptical—worried their code quality wouldn’t meet my standards. ...

I Love GitHub Copilot, But Its June 2026 Billing Changes Worried Me Let me be clear: I genuinely love GitHub Copilot. As a loyal user and Copilot Pro+ subscriber ($39.00 per month), the 1,500 premium requests per month shown below have been invaluable—it’s the fuel behind my AI-powered coding workflow. I’d call this the most affordable, seamless token fuel for AI coding available. I’m deeply grateful to Microsoft for this service—though it’s disappointing that starting June 2026, billing will shift to a per-token model. ...