fix: parallelize file processing in init to prevent Pi timeout

- Use processFiles from llm-batch.ts in generateDirectoryMap
- Process files with 4 concurrent LLM calls + 100ms batch delays
- Reduces init time from O(n) sequential to O(n/4) parallel
- Prevents Pi tool timeout on projects with many files

src/init.ts

@@ -7,6 +7,7 @@ import {
 import { extractFileLLM, extractPackageLLM } from "./llm-extract.js";
 import { extractFileAST } from "./ast-extract.js";
 import { mergeFileData } from "./merge.js";
+import { processFiles } from "./llm-batch.js";
 import { writeFileSync } from "fs";
 import { join } from "path";
 import type { LLMClient } from "./llm-client.js";
@@ -37,13 +38,17 @@ export async function generateDirectoryMap(
 	llmClient?: LLMClient,
 	cacheDir?: string,
 ): Promise<FileEntry[]> {
-	const fileData: FileEntry[] = [];
-	for (const file of entry.files) {
-		const filePath = join(entry.dirPath, file);
-		const llmData = await extractFileLLM(filePath, llmClient, cacheDir);
-		const astData = await extractFileAST(filePath);
-		fileData.push(mergeFileData(file, llmData, astData));
-	}
+	// Process files in parallel (4 concurrent) with retry logic
+	const fileData = await processFiles(
+		entry.files,
+		async (file) => {
+			const filePath = join(entry.dirPath, file);
+			const llmData = await extractFileLLM(filePath, llmClient, cacheDir);
+			const astData = await extractFileAST(filePath);
+			return mergeFileData(file, llmData, astData);
+		},
+		{ concurrency: 4, batchDelayMs: 100, maxRetries: 2 },
+	);
 
 	const packageData = await extractPackageLLM(
 		entry.relativePath,