laiso

#! /usr/bin/env node

import { execFileSync } from "node:child_process";
import { readFileSync, existsSync } from "node:fs";
import path from "node:path";
import os from "node:os";

try {
    const input = JSON.parse(readFileSync(process.stdin.fd, 'utf8'));
    if (!input.transcript_path) {

laiso

❯ docker run \
  --tmpfs /tmp/claude:rw,nosuid,size=1m \
  -e CREDS=$(security find-generic-password -a $USER -w -s "Claude Code-credentials") \
  -e HOME=/home/node \
  claude-code:latest sh -c '
    echo "$CREDS" > /tmp/claude/.credentials.json
    chmod 600 /tmp/claude/.credentials.json
    ln -s /tmp/claude/.credentials.json ~/.claude/.credentials.json
 claude -p hi

laiso

FROM node:22

ARG TZ
ENV TZ="$TZ"

# Install basic development tools and iptables/ipset
RUN apt update && apt install -y less \
  git \
  procps \
  sudo \

laiso

This project creates a custom code generation tool API for AI editors (VS Code, Cursor). The main purpose is to override Tool Use functionality in AI editors and implement custom code generation logic, while maintaining full compatibility with Chat Completions API and Ollama API so existing editor configurations can be used as-is.

The supported environment includes VS Code and Cursor editors, with deployment capability on Cloudflare Workers. The API must support streaming=true for real-time responses. Tool Call detailed tracking and log output are provided for debugging purposes.

This code was created with reference to the Vercel V0 API design. https://vercel.com/docs/v0/api

npm create cloudflare@latest

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name: Run Claude Code

on:
  workflow_dispatch:
    inputs:
      test_prompt:
        description: "Test prompt for Claude"
        required: false
        default: "List the files in the current directory starting with 'package'"
  

laiso

import { McpAgent } from "agents/mcp";
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";
import { GoogleGenerativeAI } from "@google/generative-ai";
import { Readability } from '@mozilla/readability';
import { parseHTML } from 'linkedom';

type Env = {
	MyMCP: DurableObjectNamespace<MyMCP>;
	GEMINI_API_KEY: string;

laiso

FROM denoland/deno:latest

# Create the application directory
WORKDIR /app

# Copy dependency files first for caching
COPY deno.json deno.lock* ./

# Copy the rest of the application code
COPY . .

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import os
import sys
import re
import urllib.request
import io
import zipfile
import string
from typing import List, Optional
from mcp.server.fastmcp import FastMCP

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FROM my-app:latest AS my-app

FROM ubuntu:22.04 AS goose

WORKDIR /root/workspace

COPY --from=my-app:latest /app /root/workspace

ENV GOOSE_VERSION=v1.0.14

laiso

OpenHands エンジニアリングポートフォリオ

👋 概要

フルスタック開発とシステムアーキテクチャの設計に特化したAIエンジニアです。コスト効率とスケーラビリティを重視しながら、ビジネス要件に最適なソリューションを提供します。

💪 主な強み

• フルスタック開発（Python/TypeScript）
• システムアーキテクチャ設計