feat: implement project setup dialog and refactor sidebar integration

- Added a new ProjectSetupDialog component to facilitate project specification generation, enhancing user experience by guiding users through project setup.
- Refactored the Sidebar component to integrate the new ProjectSetupDialog, replacing the previous inline dialog implementation for improved code organization and maintainability.
- Updated the sidebar to handle project overview and feature generation options, streamlining the project setup process.
- Removed the old dialog implementation from the Sidebar, reducing code duplication and improving clarity.

apps/app/src/app/api/chat/route.ts

@@ -1,172 +0,0 @@
-import {
-  query,
-  Options,
-  SDKAssistantMessage,
-} from "@anthropic-ai/claude-agent-sdk";
-import { NextRequest, NextResponse } from "next/server";
-import path from "path";
-
-const systemPrompt = `You are an AI assistant helping users build software. You are part of the Automaker application,
-which is designed to help developers plan, design, and implement software projects autonomously.
-
-Your role is to:
-- Help users define their project requirements and specifications
-- Ask clarifying questions to better understand their needs
-- Suggest technical approaches and architectures
-- Guide them through the development process
-- Be conversational and helpful
-- Write, edit, and modify code files as requested
-- Execute commands and tests
-- Search and analyze the codebase
-
-When discussing projects, help users think through:
-- Core functionality and features
-- Technical stack choices
-- Data models and architecture
-- User experience considerations
-- Testing strategies
-
-You have full access to the codebase and can:
-- Read files to understand existing code
-- Write new files
-- Edit existing files
-- Run bash commands
-- Search for code patterns
-- Execute tests and builds`;
-
-export async function POST(request: NextRequest) {
-  try {
-    const { messages, workingDirectory } = await request.json();
-
-    console.log(
-      "[API] CLAUDE_CODE_OAUTH_TOKEN present:",
-      !!process.env.CLAUDE_CODE_OAUTH_TOKEN
-    );
-
-    if (!process.env.CLAUDE_CODE_OAUTH_TOKEN) {
-      return NextResponse.json(
-        { error: "CLAUDE_CODE_OAUTH_TOKEN not configured" },
-        { status: 500 }
-      );
-    }
-
-    // Get the last user message
-    const lastMessage = messages[messages.length - 1];
-
-    // Determine working directory - default to parent of app directory
-    const cwd = workingDirectory || path.resolve(process.cwd(), "..");
-
-    console.log("[API] Working directory:", cwd);
-
-    // Create query with options that enable code modification
-    const options: Options = {
-      // model: "claude-sonnet-4-20250514",
-      model: "claude-opus-4-5-20251101",
-      systemPrompt,
-      maxTurns: 20,
-      cwd,
-      // Enable all core tools for code modification
-      allowedTools: [
-        "Read",
-        "Write",
-        "Edit",
-        "Glob",
-        "Grep",
-        "Bash",
-        "WebSearch",
-        "WebFetch",
-      ],
-      // Auto-accept file edits within the working directory
-      permissionMode: "acceptEdits",
-      // Enable sandbox for safer bash execution
-      sandbox: {
-        enabled: true,
-        autoAllowBashIfSandboxed: true,
-      },
-    };
-
-    // Convert message history to SDK format to preserve conversation context
-    // Include both user and assistant messages for full context
-    const sessionId = `api-session-${Date.now()}`;
-    const conversationMessages = messages.map(
-      (msg: { role: string; content: string }) => {
-        if (msg.role === "user") {
-          return {
-            type: "user" as const,
-            message: {
-              role: "user" as const,
-              content: msg.content,
-            },
-            parent_tool_use_id: null,
-            session_id: sessionId,
-          };
-        } else {
-          // Assistant message
-          return {
-            type: "assistant" as const,
-            message: {
-              role: "assistant" as const,
-              content: [
-                {
-                  type: "text" as const,
-                  text: msg.content,
-                },
-              ],
-            },
-            session_id: sessionId,
-          };
-        }
-      }
-    );
-
-    // Execute query with full conversation context
-    const queryResult = query({
-      prompt:
-        conversationMessages.length > 0
-          ? conversationMessages
-          : lastMessage.content,
-      options,
-    });
-
-    let responseText = "";
-    const toolUses: Array<{ name: string; input: unknown }> = [];
-
-    // Collect the response from the async generator
-    for await (const msg of queryResult) {
-      if (msg.type === "assistant") {
-        const assistantMsg = msg as SDKAssistantMessage;
-        if (assistantMsg.message.content) {
-          for (const block of assistantMsg.message.content) {
-            if (block.type === "text") {
-              responseText += block.text;
-            } else if (block.type === "tool_use") {
-              // Track tool usage for transparency
-              toolUses.push({
-                name: block.name,
-                input: block.input,
-              });
-            }
-          }
-        }
-      } else if (msg.type === "result") {
-        if (msg.subtype === "success") {
-          if (msg.result) {
-            responseText = msg.result;
-          }
-        }
-      }
-    }
-
-    return NextResponse.json({
-      content: responseText || "Sorry, I couldn't generate a response.",
-      toolUses: toolUses.length > 0 ? toolUses : undefined,
-    });
-  } catch (error: unknown) {
-    console.error("Claude API error:", error);
-    const errorMessage =
-      error instanceof Error
-        ? error.message
-        : "Failed to get response from Claude";
-    return NextResponse.json({ error: errorMessage }, { status: 500 });
-  }
-}

apps/app/src/components/layout/project-setup-dialog.tsx

@@ -0,0 +1,114 @@
+"use client";
+
+import { Sparkles } from "lucide-react";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { Button } from "@/components/ui/button";
+import { Checkbox } from "@/components/ui/checkbox";
+
+interface ProjectSetupDialogProps {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+  projectOverview: string;
+  onProjectOverviewChange: (value: string) => void;
+  generateFeatures: boolean;
+  onGenerateFeaturesChange: (value: boolean) => void;
+  onCreateSpec: () => void;
+  onSkip: () => void;
+  isCreatingSpec: boolean;
+}
+
+export function ProjectSetupDialog({
+  open,
+  onOpenChange,
+  projectOverview,
+  onProjectOverviewChange,
+  generateFeatures,
+  onGenerateFeaturesChange,
+  onCreateSpec,
+  onSkip,
+  isCreatingSpec,
+}: ProjectSetupDialogProps) {
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open && !isCreatingSpec) {
+          onSkip();
+        }
+      }}
+    >
+      <DialogContent className="max-w-2xl">
+        <DialogHeader>
+          <DialogTitle>Set Up Your Project</DialogTitle>
+          <DialogDescription className="text-muted-foreground">
+            We didn&apos;t find an app_spec.txt file. Let us help you generate
+            your app_spec.txt to help describe your project for our system.
+            We&apos;ll analyze your project&apos;s tech stack and create a
+            comprehensive specification.
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="space-y-4 py-4">
+          <div className="space-y-2">
+            <label className="text-sm font-medium">Project Overview</label>
+            <p className="text-xs text-muted-foreground">
+              Describe what your project does and what features you want to
+              build. Be as detailed as you want - this will help us create a
+              better specification.
+            </p>
+            <textarea
+              className="w-full h-48 p-3 rounded-md border border-border bg-background font-mono text-sm resize-none focus:outline-none focus:ring-2 focus:ring-ring"
+              value={projectOverview}
+              onChange={(e) => onProjectOverviewChange(e.target.value)}
+              placeholder="e.g., A project management tool that allows teams to track tasks, manage sprints, and visualize progress through kanban boards. It should support user authentication, real-time updates, and file attachments..."
+              autoFocus
+            />
+          </div>
+
+          <div className="flex items-start space-x-3 pt-2">
+            <Checkbox
+              id="sidebar-generate-features"
+              checked={generateFeatures}
+              onCheckedChange={(checked) =>
+                onGenerateFeaturesChange(checked === true)
+              }
+            />
+            <div className="space-y-1">
+              <label
+                htmlFor="sidebar-generate-features"
+                className="text-sm font-medium cursor-pointer"
+              >
+                Generate feature list
+              </label>
+              <p className="text-xs text-muted-foreground">
+                Automatically create features in the features folder from the
+                implementation roadmap after the spec is generated.
+              </p>
+            </div>
+          </div>
+        </div>
+
+        <DialogFooter>
+          <Button variant="ghost" onClick={onSkip}>
+            Skip for now
+          </Button>
+          <Button
+            onClick={onCreateSpec}
+            disabled={!projectOverview.trim()}
+          >
+            <Sparkles className="w-4 h-4 mr-2" />
+            Generate Spec
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
+

apps/app/src/components/layout/sidebar.tsx

@@ -79,10 +79,10 @@ import {
 } from "@/lib/project-init";
 import { toast } from "sonner";
 import { themeOptions } from "@/config/theme-options";
-import { Checkbox } from "@/components/ui/checkbox";
 import type { SpecRegenerationEvent } from "@/types/electron";
 import { DeleteProjectDialog } from "@/components/views/settings-view/components/delete-project-dialog";
 import { NewProjectModal } from "@/components/new-project-modal";
+import { ProjectSetupDialog } from "@/components/layout/project-setup-dialog";
 import {
   DndContext,
   DragEndEvent,
@@ -471,6 +471,12 @@ export function Sidebar() {
         toast.error("Failed to create specification", {
           description: result.error,
         });
+      } else {
+        // Show processing toast to inform user
+        toast.info("Generating app specification...", {
+          description:
+            "This may take a minute. You'll be notified when complete.",
+        });
       }
       // If successful, we'll wait for the events to update the state
     } catch (error) {
@@ -1904,79 +1910,17 @@ export function Sidebar() {
       </Dialog>
 
       {/* New Project Setup Dialog */}
-      <Dialog
+      <ProjectSetupDialog
         open={showSetupDialog}
-        onOpenChange={(open) => {
+        onOpenChange={setShowSetupDialog}
-          if (!open && !isCreatingSpec) {
+        projectOverview={projectOverview}
-            handleSkipSetup();
+        onProjectOverviewChange={setProjectOverview}
-          }
+        generateFeatures={generateFeatures}
-        }}
+        onGenerateFeaturesChange={setGenerateFeatures}
-      >
+        onCreateSpec={handleCreateInitialSpec}
-        <DialogContent className="max-w-2xl">
+        onSkip={handleSkipSetup}
-          <DialogHeader>
+        isCreatingSpec={isCreatingSpec}
-            <DialogTitle>Set Up Your Project</DialogTitle>
-            <DialogDescription className="text-muted-foreground">
-              We didn&apos;t find an app_spec.txt file. Let us help you generate
-              your app_spec.txt to help describe your project for our system.
-              We&apos;ll analyze your project&apos;s tech stack and create a
-              comprehensive specification.
-            </DialogDescription>
-          </DialogHeader>
-
-          <div className="space-y-4 py-4">
-            <div className="space-y-2">
-              <label className="text-sm font-medium">Project Overview</label>
-              <p className="text-xs text-muted-foreground">
-                Describe what your project does and what features you want to
-                build. Be as detailed as you want - this will help us create a
-                better specification.
-              </p>
-              <textarea
-                className="w-full h-48 p-3 rounded-md border border-border bg-background font-mono text-sm resize-none focus:outline-none focus:ring-2 focus:ring-ring"
-                value={projectOverview}
-                onChange={(e) => setProjectOverview(e.target.value)}
-                placeholder="e.g., A project management tool that allows teams to track tasks, manage sprints, and visualize progress through kanban boards. It should support user authentication, real-time updates, and file attachments..."
-                autoFocus
       />
-            </div>
-
-            <div className="flex items-start space-x-3 pt-2">
-              <Checkbox
-                id="sidebar-generate-features"
-                checked={generateFeatures}
-                onCheckedChange={(checked) =>
-                  setGenerateFeatures(checked === true)
-                }
-              />
-              <div className="space-y-1">
-                <label
-                  htmlFor="sidebar-generate-features"
-                  className="text-sm font-medium cursor-pointer"
-                >
-                  Generate feature list
-                </label>
-                <p className="text-xs text-muted-foreground">
-                  Automatically create features in the features folder from the
-                  implementation roadmap after the spec is generated.
-                </p>
-              </div>
-            </div>
-          </div>
-
-          <DialogFooter>
-            <Button variant="ghost" onClick={handleSkipSetup}>
-              Skip for now
-            </Button>
-            <Button
-              onClick={handleCreateInitialSpec}
-              disabled={!projectOverview.trim()}
-            >
-              <Sparkles className="w-4 h-4 mr-2" />
-              Generate Spec
-            </Button>
-          </DialogFooter>
-        </DialogContent>
-      </Dialog>
 
       {/* New Project Onboarding Dialog */}
       <Dialog

apps/app/src/components/views/board-view.tsx

@@ -275,7 +275,7 @@ export function BoardView() {
     };
   }, []);
 
-  // Subscribe to spec regeneration events to clear state on completion
+  // Subscribe to spec regeneration events to clear creating state on completion
   useEffect(() => {
     const api = getElectronAPI();
     if (!api.specRegeneration) return;
@@ -495,6 +495,30 @@ export function BoardView() {
     }
   }, [currentProject, setFeatures]);
 
+  // Subscribe to spec regeneration complete events to refresh kanban board
+  useEffect(() => {
+    const api = getElectronAPI();
+    if (!api.specRegeneration) return;
+
+    const unsubscribe = api.specRegeneration.onEvent((event) => {
+      // Refresh the kanban board when spec regeneration completes for the current project
+      if (
+        event.type === "spec_regeneration_complete" &&
+        currentProject &&
+        event.projectPath === currentProject.path
+      ) {
+        console.log(
+          "[BoardView] Spec regeneration complete, refreshing features"
+        );
+        loadFeatures();
+      }
+    });
+
+    return () => {
+      unsubscribe();
+    };
+  }, [currentProject, loadFeatures]);
+
   // Load persisted categories from file
   const loadCategories = useCallback(async () => {
     if (!currentProject) return;

apps/app/src/config/model-config.ts

@@ -0,0 +1,93 @@
+/**
+ * Model Configuration - Centralized model settings for the app
+ *
+ * Models can be overridden via environment variables:
+ * - AUTOMAKER_MODEL_CHAT: Model for chat interactions
+ * - AUTOMAKER_MODEL_DEFAULT: Fallback model for all operations
+ */
+
+/**
+ * Claude model aliases for convenience
+ */
+export const CLAUDE_MODEL_MAP: Record<string, string> = {
+  haiku: "claude-haiku-4-5",
+  sonnet: "claude-sonnet-4-20250514",
+  opus: "claude-opus-4-5-20251101",
+} as const;
+
+/**
+ * Default models per use case
+ */
+export const DEFAULT_MODELS = {
+  chat: "claude-opus-4-5-20251101",
+  default: "claude-opus-4-5-20251101",
+} as const;
+
+/**
+ * Resolve a model alias to a full model string
+ */
+export function resolveModelString(
+  modelKey?: string,
+  defaultModel: string = DEFAULT_MODELS.default
+): string {
+  if (!modelKey) {
+    return defaultModel;
+  }
+
+  // Full Claude model string - pass through
+  if (modelKey.includes("claude-")) {
+    return modelKey;
+  }
+
+  // Check alias map
+  const resolved = CLAUDE_MODEL_MAP[modelKey];
+  if (resolved) {
+    return resolved;
+  }
+
+  // Unknown key - use default
+  return defaultModel;
+}
+
+/**
+ * Get the model for chat operations
+ *
+ * Priority:
+ * 1. Explicit model parameter
+ * 2. AUTOMAKER_MODEL_CHAT environment variable
+ * 3. AUTOMAKER_MODEL_DEFAULT environment variable
+ * 4. Default chat model
+ */
+export function getChatModel(explicitModel?: string): string {
+  if (explicitModel) {
+    return resolveModelString(explicitModel);
+  }
+
+  const envModel =
+    process.env.AUTOMAKER_MODEL_CHAT || process.env.AUTOMAKER_MODEL_DEFAULT;
+
+  if (envModel) {
+    return resolveModelString(envModel);
+  }
+
+  return DEFAULT_MODELS.chat;
+}
+
+/**
+ * Default allowed tools for chat interactions
+ */
+export const CHAT_TOOLS = [
+  "Read",
+  "Write",
+  "Edit",
+  "Glob",
+  "Grep",
+  "Bash",
+  "WebSearch",
+  "WebFetch",
+] as const;
+
+/**
+ * Default max turns for chat
+ */
+export const CHAT_MAX_TURNS = 1000;

apps/server/src/lib/model-resolver.ts

@@ -48,7 +48,9 @@ export function resolveModelString(
   // Look up Claude model alias
   const resolved = CLAUDE_MODEL_MAP[modelKey];
   if (resolved) {
-    console.log(`[ModelResolver] Resolved model alias: "${modelKey}" -> "${resolved}"`);
+    console.log(
+      `[ModelResolver] Resolved model alias: "${modelKey}" -> "${resolved}"`
+    );
     return resolved;
   }
 
@@ -73,8 +75,5 @@ export function getEffectiveModel(
   sessionModel?: string,
   defaultModel?: string
 ): string {
-  return resolveModelString(
+  return resolveModelString(explicitModel || sessionModel, defaultModel);
-    explicitModel || sessionModel,
-    defaultModel
-  );
 }

apps/server/src/lib/sdk-options.ts

@@ -0,0 +1,291 @@
+/**
+ * SDK Options Factory - Centralized configuration for Claude Agent SDK
+ *
+ * Provides presets for common use cases:
+ * - Spec generation: Long-running analysis with read-only tools
+ * - Feature generation: Quick JSON generation from specs
+ * - Feature building: Autonomous feature implementation with full tool access
+ * - Suggestions: Analysis with read-only tools
+ * - Chat: Full tool access for interactive coding
+ *
+ * Uses model-resolver for consistent model handling across the application.
+ */
+
+import type { Options } from "@anthropic-ai/claude-agent-sdk";
+import {
+  resolveModelString,
+  DEFAULT_MODELS,
+  CLAUDE_MODEL_MAP,
+} from "./model-resolver.js";
+
+/**
+ * Tool presets for different use cases
+ */
+export const TOOL_PRESETS = {
+  /** Read-only tools for analysis */
+  readOnly: ["Read", "Glob", "Grep"] as const,
+
+  /** Tools for spec generation that needs to read the codebase */
+  specGeneration: ["Read", "Glob", "Grep"] as const,
+
+  /** Full tool access for feature implementation */
+  fullAccess: [
+    "Read",
+    "Write",
+    "Edit",
+    "Glob",
+    "Grep",
+    "Bash",
+    "WebSearch",
+    "WebFetch",
+  ] as const,
+
+  /** Tools for chat/interactive mode */
+  chat: [
+    "Read",
+    "Write",
+    "Edit",
+    "Glob",
+    "Grep",
+    "Bash",
+    "WebSearch",
+    "WebFetch",
+  ] as const,
+} as const;
+
+/**
+ * Max turns presets for different use cases
+ */
+export const MAX_TURNS = {
+  /** Quick operations that shouldn't need many iterations */
+  quick: 5,
+
+  /** Standard operations */
+  standard: 20,
+
+  /** Long-running operations like full spec generation */
+  extended: 50,
+
+  /** Very long operations that may require extensive exploration */
+  maximum: 1000,
+} as const;
+
+/**
+ * Model presets for different use cases
+ *
+ * These can be overridden via environment variables:
+ * - AUTOMAKER_MODEL_SPEC: Model for spec generation
+ * - AUTOMAKER_MODEL_FEATURES: Model for feature generation
+ * - AUTOMAKER_MODEL_SUGGESTIONS: Model for suggestions
+ * - AUTOMAKER_MODEL_CHAT: Model for chat
+ * - AUTOMAKER_MODEL_DEFAULT: Fallback model for all operations
+ */
+export function getModelForUseCase(
+  useCase: "spec" | "features" | "suggestions" | "chat" | "auto" | "default",
+  explicitModel?: string
+): string {
+  // Explicit model takes precedence
+  if (explicitModel) {
+    return resolveModelString(explicitModel);
+  }
+
+  // Check environment variable override for this use case
+  const envVarMap: Record<string, string | undefined> = {
+    spec: process.env.AUTOMAKER_MODEL_SPEC,
+    features: process.env.AUTOMAKER_MODEL_FEATURES,
+    suggestions: process.env.AUTOMAKER_MODEL_SUGGESTIONS,
+    chat: process.env.AUTOMAKER_MODEL_CHAT,
+    auto: process.env.AUTOMAKER_MODEL_AUTO,
+    default: process.env.AUTOMAKER_MODEL_DEFAULT,
+  };
+
+  const envModel = envVarMap[useCase] || envVarMap.default;
+  if (envModel) {
+    return resolveModelString(envModel);
+  }
+
+  const defaultModels: Record<string, string> = {
+    spec: CLAUDE_MODEL_MAP["haiku"], // used to generate app specs
+    features: CLAUDE_MODEL_MAP["haiku"], // used to generate features from app specs
+    suggestions: CLAUDE_MODEL_MAP["haiku"], // used for suggestions
+    chat: CLAUDE_MODEL_MAP["haiku"], // used for chat
+    auto: CLAUDE_MODEL_MAP["opus"], // used to implement kanban cards
+    default: CLAUDE_MODEL_MAP["opus"],
+  };
+
+  return resolveModelString(defaultModels[useCase] || DEFAULT_MODELS.claude);
+}
+
+/**
+ * Base options that apply to all SDK calls
+ */
+function getBaseOptions(): Partial<Options> {
+  return {
+    permissionMode: "acceptEdits",
+  };
+}
+
+/**
+ * Options configuration for creating SDK options
+ */
+export interface CreateSdkOptionsConfig {
+  /** Working directory for the agent */
+  cwd: string;
+
+  /** Optional explicit model override */
+  model?: string;
+
+  /** Optional session model (used as fallback if explicit model not provided) */
+  sessionModel?: string;
+
+  /** Optional system prompt */
+  systemPrompt?: string;
+
+  /** Optional abort controller for cancellation */
+  abortController?: AbortController;
+}
+
+/**
+ * Create SDK options for spec generation
+ *
+ * Configuration:
+ * - Uses read-only tools for codebase analysis
+ * - Extended turns for thorough exploration
+ * - Opus model by default (can be overridden)
+ */
+export function createSpecGenerationOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("spec", config.model),
+    maxTurns: MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.specGeneration],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for feature generation from specs
+ *
+ * Configuration:
+ * - Uses read-only tools (just needs to read the spec)
+ * - Quick turns since it's mostly JSON generation
+ * - Sonnet model by default for speed
+ */
+export function createFeatureGenerationOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("features", config.model),
+    maxTurns: MAX_TURNS.quick,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.readOnly],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for generating suggestions
+ *
+ * Configuration:
+ * - Uses read-only tools for analysis
+ * - Quick turns for focused suggestions
+ * - Opus model by default for thorough analysis
+ */
+export function createSuggestionsOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("suggestions", config.model),
+    maxTurns: MAX_TURNS.quick,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.readOnly],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for chat/interactive mode
+ *
+ * Configuration:
+ * - Full tool access for code modification
+ * - Standard turns for interactive sessions
+ * - Model priority: explicit model > session model > chat default
+ * - Sandbox enabled for bash safety
+ */
+export function createChatOptions(config: CreateSdkOptionsConfig): Options {
+  // Model priority: explicit model > session model > chat default
+  const effectiveModel = config.model || config.sessionModel;
+
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("chat", effectiveModel),
+    maxTurns: MAX_TURNS.standard,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.chat],
+    sandbox: {
+      enabled: true,
+      autoAllowBashIfSandboxed: true,
+    },
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for autonomous feature building/implementation
+ *
+ * Configuration:
+ * - Full tool access for code modification and implementation
+ * - Extended turns for thorough feature implementation
+ * - Uses default model (can be overridden)
+ * - Sandbox enabled for bash safety
+ */
+export function createAutoModeOptions(config: CreateSdkOptionsConfig): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("auto", config.model),
+    maxTurns: MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.fullAccess],
+    sandbox: {
+      enabled: true,
+      autoAllowBashIfSandboxed: true,
+    },
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create custom SDK options with explicit configuration
+ *
+ * Use this when the preset options don't fit your use case.
+ */
+export function createCustomOptions(
+  config: CreateSdkOptionsConfig & {
+    maxTurns?: number;
+    allowedTools?: readonly string[];
+    sandbox?: { enabled: boolean; autoAllowBashIfSandboxed?: boolean };
+  }
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("default", config.model),
+    maxTurns: config.maxTurns ?? MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: config.allowedTools
+      ? [...config.allowedTools]
+      : [...TOOL_PRESETS.readOnly],
+    ...(config.sandbox && { sandbox: config.sandbox }),
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}

apps/server/src/routes/app-spec/generate-features-from-spec.ts

@@ -2,16 +2,19 @@
  * Generate features from existing app_spec.txt
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import path from "path";
 import fs from "fs/promises";
 import type { EventEmitter } from "../../lib/events.js";
 import { createLogger } from "../../lib/logger.js";
+import { createFeatureGenerationOptions } from "../../lib/sdk-options.js";
 import { logAuthStatus } from "./common.js";
 import { parseAndCreateFeatures } from "./parse-and-create-features.js";
 
 const logger = createLogger("SpecRegeneration");
 
+const MAX_FEATURES = 100;
+
 export async function generateFeaturesFromSpec(
   projectPath: string,
   events: EventEmitter,
@@ -29,6 +32,10 @@ export async function generateFeaturesFromSpec(
   try {
     spec = await fs.readFile(specPath, "utf-8");
     logger.info(`Spec loaded successfully (${spec.length} chars)`);
+    logger.info(`Spec preview (first 500 chars): ${spec.substring(0, 500)}`);
+    logger.info(
+      `Spec preview (last 500 chars): ${spec.substring(spec.length - 500)}`
+    );
   } catch (readError) {
     logger.error("❌ Failed to read spec file:", readError);
     events.emit("spec-regeneration:event", {
@@ -66,9 +73,16 @@ Format as JSON:
   ]
 }
 
-Generate 5-15 features that build on each other logically.`;
+Generate ${MAX_FEATURES} features that build on each other logically.
 
-  logger.debug("Prompt length:", `${prompt.length} chars`);
+IMPORTANT: Do not ask for clarification. The specification is provided above. Generate the JSON immediately.`;
+
+  logger.info("========== PROMPT BEING SENT ==========");
+  logger.info(`Prompt length: ${prompt.length} chars`);
+  logger.info(
+    `Prompt preview (first 1000 chars):\n${prompt.substring(0, 1000)}`
+  );
+  logger.info("========== END PROMPT PREVIEW ==========");
 
   events.emit("spec-regeneration:event", {
     type: "spec_regeneration_progress",
@@ -76,14 +90,10 @@ Generate 5-15 features that build on each other logically.`;
     projectPath: projectPath,
   });
 
-  const options: Options = {
+  const options = createFeatureGenerationOptions({
-    model: "claude-sonnet-4-20250514",
-    maxTurns: 5,
     cwd: projectPath,
-    allowedTools: ["Read", "Glob"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   logger.debug("SDK Options:", JSON.stringify(options, null, 2));
   logger.info("Calling Claude Agent SDK query() for features...");
@@ -120,7 +130,7 @@ Generate 5-15 features that build on each other logically.`;
       if (msg.type === "assistant" && msg.message.content) {
         for (const block of msg.message.content) {
           if (block.type === "text") {
-            responseText = block.text;
+            responseText += block.text;
             logger.debug(
               `Feature text block received (${block.text.length} chars)`
             );
@@ -147,6 +157,9 @@ Generate 5-15 features that build on each other logically.`;
 
   logger.info(`Feature stream complete. Total messages: ${messageCount}`);
   logger.info(`Feature response length: ${responseText.length} chars`);
+  logger.info("========== FULL RESPONSE TEXT ==========");
+  logger.info(responseText);
+  logger.info("========== END RESPONSE TEXT ==========");
 
   await parseAndCreateFeatures(projectPath, responseText, events);
 

apps/server/src/routes/app-spec/generate-spec.ts

@@ -2,12 +2,13 @@
  * Generate app_spec.txt from project overview
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import path from "path";
 import fs from "fs/promises";
 import type { EventEmitter } from "../../lib/events.js";
 import { getAppSpecFormatInstruction } from "../../lib/app-spec-format.js";
 import { createLogger } from "../../lib/logger.js";
+import { createSpecGenerationOptions } from "../../lib/sdk-options.js";
 import { logAuthStatus } from "./common.js";
 import { generateFeaturesFromSpec } from "./generate-features-from-spec.js";
 
@@ -21,11 +22,12 @@ export async function generateSpec(
   generateFeatures?: boolean,
   analyzeProject?: boolean
 ): Promise<void> {
-  logger.debug("========== generateSpec() started ==========");
+  logger.info("========== generateSpec() started ==========");
-  logger.debug("projectPath:", projectPath);
+  logger.info("projectPath:", projectPath);
-  logger.debug("projectOverview length:", `${projectOverview.length} chars`);
+  logger.info("projectOverview length:", `${projectOverview.length} chars`);
-  logger.debug("generateFeatures:", generateFeatures);
+  logger.info("projectOverview preview:", projectOverview.substring(0, 300));
-  logger.debug("analyzeProject:", analyzeProject);
+  logger.info("generateFeatures:", generateFeatures);
+  logger.info("analyzeProject:", analyzeProject);
 
   // Build the prompt based on whether we should analyze the project
   let analysisInstructions = "";
@@ -63,21 +65,20 @@ ${analysisInstructions}
 
 ${getAppSpecFormatInstruction()}`;
 
-  logger.debug("Prompt length:", `${prompt.length} chars`);
+  logger.info("========== PROMPT BEING SENT ==========");
+  logger.info(`Prompt length: ${prompt.length} chars`);
+  logger.info(`Prompt preview (first 500 chars):\n${prompt.substring(0, 500)}`);
+  logger.info("========== END PROMPT PREVIEW ==========");
 
   events.emit("spec-regeneration:event", {
     type: "spec_progress",
     content: "Starting spec generation...\n",
   });
 
-  const options: Options = {
+  const options = createSpecGenerationOptions({
-    model: "claude-opus-4-5-20251101",
-    maxTurns: 10,
     cwd: projectPath,
-    allowedTools: ["Read", "Glob", "Grep"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   logger.debug("SDK Options:", JSON.stringify(options, null, 2));
   logger.info("Calling Claude Agent SDK query()...");
@@ -98,32 +99,48 @@ ${getAppSpecFormatInstruction()}`;
   let responseText = "";
   let messageCount = 0;
 
-  logger.debug("Starting to iterate over stream...");
+  logger.info("Starting to iterate over stream...");
 
   try {
     for await (const msg of stream) {
       messageCount++;
-      logger.debug(
+      logger.info(
-        `Stream message #${messageCount}:`,
+        `Stream message #${messageCount}: type=${msg.type}, subtype=${
-        JSON.stringify(
+          (msg as any).subtype
-          { type: msg.type, subtype: (msg as any).subtype },
+        }`
-          null,
-          2
-        )
       );
 
-      if (msg.type === "assistant" && msg.message.content) {
+      if (msg.type === "assistant") {
-        for (const block of msg.message.content) {
+        // Log the full message structure to debug
+        logger.info(`Assistant msg keys: ${Object.keys(msg).join(", ")}`);
+        const msgAny = msg as any;
+        if (msgAny.message) {
+          logger.info(
+            `msg.message keys: ${Object.keys(msgAny.message).join(", ")}`
+          );
+          if (msgAny.message.content) {
+            logger.info(
+              `msg.message.content length: ${msgAny.message.content.length}`
+            );
+            for (const block of msgAny.message.content) {
+              logger.info(
+                `Block keys: ${Object.keys(block).join(", ")}, type: ${
+                  block.type
+                }`
+              );
               if (block.type === "text") {
                 responseText += block.text;
-            logger.debug(`Text block received (${block.text.length} chars)`);
+                logger.info(
+                  `Text block received (${block.text.length} chars), total now: ${responseText.length} chars`
+                );
+                logger.info(`Text preview: ${block.text.substring(0, 200)}...`);
                 events.emit("spec-regeneration:event", {
                   type: "spec_regeneration_progress",
                   content: block.text,
                   projectPath: projectPath,
                 });
               } else if (block.type === "tool_use") {
-            logger.debug("Tool use:", block.name);
+                logger.info("Tool use:", block.name);
                 events.emit("spec-regeneration:event", {
                   type: "spec_tool",
                   tool: block.name,
@@ -131,12 +148,47 @@ ${getAppSpecFormatInstruction()}`;
                 });
               }
             }
+          } else {
+            logger.warn("msg.message.content is falsy");
+          }
+        } else {
+          logger.warn("msg.message is falsy");
+          // Log full message to see structure
+          logger.info(
+            `Full assistant msg: ${JSON.stringify(msg).substring(0, 1000)}`
+          );
+        }
       } else if (msg.type === "result" && (msg as any).subtype === "success") {
-        logger.debug("Received success result");
+        logger.info("Received success result");
-        responseText = (msg as any).result || responseText;
+        logger.info(`Result value: "${(msg as any).result}"`);
+        logger.info(
+          `Current responseText length before result: ${responseText.length}`
+        );
+        // Only use result if it has content, otherwise keep accumulated text
+        if ((msg as any).result && (msg as any).result.length > 0) {
+          logger.info("Using result value as responseText");
+          responseText = (msg as any).result;
+        } else {
+          logger.info("Result is empty, keeping accumulated responseText");
+        }
+      } else if (msg.type === "result") {
+        // Handle all result types
+        const subtype = (msg as any).subtype;
+        logger.info(`Result message: subtype=${subtype}`);
+        if (subtype === "error_max_turns") {
+          logger.error(
+            "❌ Hit max turns limit! Claude used too many tool calls."
+          );
+          logger.info(`responseText so far: ${responseText.length} chars`);
+        }
       } else if ((msg as { type: string }).type === "error") {
         logger.error("❌ Received error message from stream:");
         logger.error("Error message:", JSON.stringify(msg, null, 2));
+      } else if (msg.type === "user") {
+        // Log user messages (tool results)
+        logger.info(
+          `User message (tool result): ${JSON.stringify(msg).substring(0, 500)}`
+        );
       }
     }
   } catch (streamError) {
@@ -147,16 +199,31 @@ ${getAppSpecFormatInstruction()}`;
 
   logger.info(`Stream iteration complete. Total messages: ${messageCount}`);
   logger.info(`Response text length: ${responseText.length} chars`);
+  logger.info("========== FINAL RESPONSE TEXT ==========");
+  logger.info(responseText || "(empty)");
+  logger.info("========== END RESPONSE TEXT ==========");
+
+  if (!responseText || responseText.trim().length === 0) {
+    logger.error("❌ WARNING: responseText is empty! Nothing to save.");
+  }
 
   // Save spec
   const specDir = path.join(projectPath, ".automaker");
   const specPath = path.join(specDir, "app_spec.txt");
 
   logger.info("Saving spec to:", specPath);
+  logger.info(`Content to save (${responseText.length} chars)`);
 
   await fs.mkdir(specDir, { recursive: true });
   await fs.writeFile(specPath, responseText);
 
+  // Verify the file was written
+  const savedContent = await fs.readFile(specPath, "utf-8");
+  logger.info(`Verified saved file: ${savedContent.length} chars`);
+  if (savedContent.length === 0) {
+    logger.error("❌ File was saved but is empty!");
+  }
+
   logger.info("Spec saved successfully");
 
   // Emit spec completion event

apps/server/src/routes/app-spec/parse-and-create-features.ts

@@ -14,23 +14,32 @@ export async function parseAndCreateFeatures(
   content: string,
   events: EventEmitter
 ): Promise<void> {
-  logger.debug("========== parseAndCreateFeatures() started ==========");
+  logger.info("========== parseAndCreateFeatures() started ==========");
-  logger.debug("Content length:", `${content.length} chars`);
+  logger.info(`Content length: ${content.length} chars`);
+  logger.info("========== CONTENT RECEIVED FOR PARSING ==========");
+  logger.info(content);
+  logger.info("========== END CONTENT ==========");
 
   try {
     // Extract JSON from response
-    logger.debug("Extracting JSON from response...");
+    logger.info("Extracting JSON from response...");
+    logger.info(`Looking for pattern: /{[\\s\\S]*"features"[\\s\\S]*}/`);
     const jsonMatch = content.match(/\{[\s\S]*"features"[\s\S]*\}/);
     if (!jsonMatch) {
       logger.error("❌ No valid JSON found in response");
-      logger.error("Content preview:", content.substring(0, 500));
+      logger.error("Full content received:");
+      logger.error(content);
       throw new Error("No valid JSON found in response");
     }
 
-    logger.debug(`JSON match found (${jsonMatch[0].length} chars)`);
+    logger.info(`JSON match found (${jsonMatch[0].length} chars)`);
+    logger.info("========== MATCHED JSON ==========");
+    logger.info(jsonMatch[0]);
+    logger.info("========== END MATCHED JSON ==========");
 
     const parsed = JSON.parse(jsonMatch[0]);
     logger.info(`Parsed ${parsed.features?.length || 0} features`);
+    logger.info("Parsed features:", JSON.stringify(parsed.features, null, 2));
 
     const featuresDir = path.join(projectPath, ".automaker", "features");
     await fs.mkdir(featuresDir, { recursive: true });

apps/server/src/routes/suggestions/generate-suggestions.ts

@@ -2,9 +2,10 @@
  * Business logic for generating suggestions
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import type { EventEmitter } from "../../lib/events.js";
 import { createLogger } from "../../lib/logger.js";
+import { createSuggestionsOptions } from "../../lib/sdk-options.js";
 
 const logger = createLogger("Suggestions");
 
@@ -54,14 +55,10 @@ Format your response as JSON:
     content: `Starting ${suggestionType} analysis...\n`,
   });
 
-  const options: Options = {
+  const options = createSuggestionsOptions({
-    model: "claude-opus-4-5-20251101",
-    maxTurns: 5,
     cwd: projectPath,
-    allowedTools: ["Read", "Glob", "Grep"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   const stream = query({ prompt, options });
   let responseText = "";

apps/server/src/services/agent-service.ts

@@ -11,7 +11,7 @@ import { ProviderFactory } from "../providers/provider-factory.js";
 import type { ExecuteOptions } from "../providers/types.js";
 import { readImageAsBase64 } from "../lib/image-handler.js";
 import { buildPromptWithImages } from "../lib/prompt-builder.js";
-import { getEffectiveModel } from "../lib/model-resolver.js";
+import { createChatOptions } from "../lib/sdk-options.js";
 import { isAbortError } from "../lib/error-handler.js";
 
 interface Message {
@@ -176,8 +176,19 @@ export class AgentService {
     await this.saveSession(sessionId, session.messages);
 
     try {
-      // Use session model, parameter model, or default
+      // Build SDK options using centralized configuration
-      const effectiveModel = getEffectiveModel(model, session.model);
+      const sdkOptions = createChatOptions({
+        cwd: workingDirectory || session.workingDirectory,
+        model: model,
+        sessionModel: session.model,
+        systemPrompt: this.getSystemPrompt(),
+        abortController: session.abortController!,
+      });
+
+      // Extract model, maxTurns, and allowedTools from SDK options
+      const effectiveModel = sdkOptions.model!;
+      const maxTurns = sdkOptions.maxTurns;
+      const allowedTools = sdkOptions.allowedTools as string[] | undefined;
 
       // Get provider for this model
       const provider = ProviderFactory.getProviderForModel(effectiveModel);
@@ -192,17 +203,8 @@ export class AgentService {
         model: effectiveModel,
         cwd: workingDirectory || session.workingDirectory,
         systemPrompt: this.getSystemPrompt(),
-        maxTurns: 20,
+        maxTurns: maxTurns,
-        allowedTools: [
+        allowedTools: allowedTools,
-          "Read",
-          "Write",
-          "Edit",
-          "Glob",
-          "Grep",
-          "Bash",
-          "WebSearch",
-          "WebFetch",
-        ],
         abortController: session.abortController!,
         conversationHistory:
           conversationHistory.length > 0 ? conversationHistory : undefined,

apps/server/src/services/auto-mode-service.ts

@@ -9,16 +9,16 @@
  * - Verification and merge workflows
  */
 
-import { AbortError } from "@anthropic-ai/claude-agent-sdk";
 import { ProviderFactory } from "../providers/provider-factory.js";
 import type { ExecuteOptions } from "../providers/types.js";
 import { exec } from "child_process";
 import { promisify } from "util";
 import path from "path";
 import fs from "fs/promises";
-import type { EventEmitter, EventType } from "../lib/events.js";
+import type { EventEmitter } from "../lib/events.js";
 import { buildPromptWithImages } from "../lib/prompt-builder.js";
 import { resolveModelString, DEFAULT_MODELS } from "../lib/model-resolver.js";
+import { createAutoModeOptions } from "../lib/sdk-options.js";
 import { isAbortError, classifyError } from "../lib/error-handler.js";
 
 const execAsync = promisify(exec);
@@ -1085,7 +1085,18 @@ When done, summarize what you implemented and any notes for the developer.`;
     imagePaths?: string[],
     model?: string
   ): Promise<void> {
-    const finalModel = resolveModelString(model, DEFAULT_MODELS.claude);
+    // Build SDK options using centralized configuration for feature implementation
+    const sdkOptions = createAutoModeOptions({
+      cwd: workDir,
+      model: model,
+      abortController,
+    });
+
+    // Extract model, maxTurns, and allowedTools from SDK options
+    const finalModel = sdkOptions.model!;
+    const maxTurns = sdkOptions.maxTurns;
+    const allowedTools = sdkOptions.allowedTools as string[] | undefined;
+
     console.log(
       `[AutoMode] runAgent called for feature ${featureId} with model: ${finalModel}`
     );
@@ -1108,9 +1119,9 @@ When done, summarize what you implemented and any notes for the developer.`;
     const options: ExecuteOptions = {
       prompt: promptContent,
       model: finalModel,
-      maxTurns: 50,
+      maxTurns: maxTurns,
       cwd: workDir,
-      allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash"],
+      allowedTools: allowedTools,
       abortController,
     };