diff --git a/network-poc/native-node/src/inference.rs b/network-poc/native-node/src/inference.rs
index 91795d8..608ccf2 100644
--- a/network-poc/native-node/src/inference.rs
+++ b/network-poc/native-node/src/inference.rs
@@ -124,7 +124,8 @@ impl LlmEngine {
     }
 
     pub fn generate(&mut self, prompt: &str, max_tokens: usize) -> Result<GenerateResult, String> {
-        let formatted = format!("<|im_start|>system\nYou are a coding assistant. Respond with ONLY code. No explanations, no markdown, no comments unless asked.<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n", prompt);
+        // Prefill: aloitetaan vastaus ```-koodiblokkilla → malli jatkaa suoraan koodilla
+        let formatted = format!("<|im_start|>system\nYou are a coding assistant. Respond with ONLY code. No explanations, no markdown, no comments unless asked.<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n```\n", prompt);
 
         let encoding = self.tokenizer.encode(formatted.as_str(), true)
             .map_err(|e| format!("Encode: {}", e))?;
diff --git a/network-poc/node/src/qwen_coder.rs b/network-poc/node/src/qwen_coder.rs
index 31bf791..470dabc 100644
--- a/network-poc/node/src/qwen_coder.rs
+++ b/network-poc/node/src/qwen_coder.rs
@@ -254,7 +254,9 @@ pub async fn run_coder_inference(prompt: String, ws: Rc<RefCell<WebSocket>>, use
         (prompt.clone(), default_system.to_string(), 128)
     };
 
-    let formatted = format!("<|im_start|>system\n{}<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n", system_msg, actual_prompt);
+    // Prefill: aloitetaan vastaus ```-koodiblokkilla, jolloin malli jatkaa suoraan koodilla
+    // eikä tuota "Sure! Here is..." -johdantoa. strip_markdown_wrapper poistaa ``` jälkikäteen.
+    let formatted = format!("<|im_start|>system\n{}<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n```\n", system_msg, actual_prompt);
 
     // Inferenssi: käytetään välimuistissa olevaa mallia
     let (generated_text, tokens_generated, gen_time) = MODEL_CACHE.with(|cache| {