diff --git a/src/devstar/ai-devops.md b/src/devstar/ai-devops.md
index 11a7cc5..86d868f 100644
--- a/src/devstar/ai-devops.md
+++ b/src/devstar/ai-devops.md
@@ -1,3 +1,5 @@
+
+
 # DevStar AI+ DevOps
 
 DevStar AI+ DevOps 是一个完整的AI驱动研发平台解决方案，通过集成 DevStar平台、代码大语言模型、Gitea MCP Server和 AI Code Tools（Cursor、Claude Code、iFlow等），为开发者提供智能化研发支撑体系。
@@ -94,7 +96,6 @@ DevStar代码托管平台中项目设置、用户设置和后台管理中都可
 
 ```
 {
-  "mcp": {
     "inputs": [
       {
         "type": "promptString",
@@ -117,20 +118,26 @@ DevStar代码托管平台中项目设置、用户设置和后台管理中都可
           "docker.gitea.com/gitea-mcp-server"
         ],
         "env": {
-          "GITEA_HOST": "--host http://172.16.94.26",
+          "GITEA_HOST": "http://172.16.94.26",
           "GITEA_ACCESS_TOKEN": "${input:gitea_token}"
         }
       }
     }
-  }
 }
 ```
 
 #### 配置AI IDE/CLI使用私有大模型及MCP Server
 
-* Copilot，简要文字描述，不要上太多图，可以提供官方配置链接
-* Cursor
-* Continue
+* Copilot，点击提示框里的“管理模型”，选择ollama；将mcp配置添加到 .vscode/mcp.json下
+
+* Cursor，不支持私有模型，需要本地部署后做代理；点击Cursor Settings -> Tools & MCP
+
+  ->  New MCP Server 将mcp配置添加到mcp.json中
+
+* Continue，点击Add Chat model，Provider选择ollama；设置->Tools->MCP Servers配置yaml文件
+
+  也可以将cursor的json文件放到.continue/mcpServers/mcp.json中
+
 * ...
 
 ## 🚀 DevStar AI+ DevOps演示
@@ -141,20 +148,33 @@ DevStar代码托管平台中项目设置、用户设置和后台管理中都可
 
 使用ai-develops项目模板创建项目
 
-todo
+![](template.png)
+
+配置mcp.json的GITEA_HOST和GITEA_ACCESS_TOKEN
+
+![](mcp.png)
 
 ### AI生成代码
 
-todo
+![](issue.png)
+
+![](code.png)
 
 ### 提交PR
 
-todo
+![](feature.png)
+
+![](feature-2.png)
+
+![](pr.png)
 
 ### AI Code Review
 
-todo
+设置工作流相关变量
 
-### 合并PR
+![](vars.png)
+
+![](code-review.png)
+
+![](review.png)
 
-todo
\ No newline at end of file
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