30 candidatos extraídos · 0 já revisados · 30 pendentes · 0.6% de cobertura de vocabulário
“The Zig Challenge A year ago I tried out “vibe coding”.”
“But today we have better orchestrators than Aider, which I was using back then: OpenCode and Crush exist.”
“Get it to run, load the Qwen3 model on my GPU and open an interactive chat where I can talk to the LLM.”
“But all 3 commercial ones I tested managed to solve it.”
“My recommendation is, when in doubt, start with Claude Opus or GPT 5.1 Codex.”
“That’s why I chose Zig integrate with a C or C++ lib to make it even harder and mix low-level languages.”
“See this small snippet: Practically all the LLMs managed to get past this problem.”
“GPT, Claude, Gemini, they’re all on the order of TRILLIONS of parameters.”
“I want to load the model directly.”
“I could only run Qwen3-Coder:30b or GPT-OSS:20b locally.”
“That’s why it’s not just a client to talk to an Ollama server, it has to use the Llama.cpp lib directly.”
“Fix the build and correct each of the errors.”
“When I loaded the binary, it gave a segmentation fault and other crashes.”
“GLM 4.7 and MiniMax v2.1 are too big.”
“Most couldn’t get past this part.”
“You needed to know which functions you could use, how to handle NULLs and things like that.”
“In a loop the “wrong” tokens usually come with high probabilities (e.g.”
“Some took more work, but all of them eventually solved it.”