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Claude Code Developer Setup Guide

Overview

This guide walks through setting up Claude Code with AWS Bedrock for new developers on Ubuntu/Linux or macOS systems. The setup includes automatic cost tracking per developer and per model, with intelligent Bedrock region discovery.

Prerequisites

Ubuntu/Linux or macOS system (Bash 4+ required on macOS)
AWS CLI v2 installed and configured

CSV to ICS Converter

This script converts a CSV file containing event details into an ICS file that can be imported into Google Calendar (and other calendar applications).

Usage

Prepare your CSV file: The CSV file should have the following columns (case-insensitive):
- start date (Format: YYYY-MM-DD HH:MM or YYYY-MM-DD for all-day)

end date (Format: YYYY-MM-DD HH:MM or YYYY-MM-DD)

USE information_schema;

DESC MV_DATA_DISK_USAGE;

SELECT * FROM MV_DATA_DISK_USAGE;

SELECT DATABASE_NAME, FORMAT(SUM(`BLOBS_B`) / 1024/1024, 0) MB
FROM MV_DATA_DISK_USAGE
GROUP BY DATABASE_NAME

	#!/bin/bash

	###############################################################################
	# Vagrant VMware Repair Script
	#
	# Purpose: Fix "Directory not empty" and disk access errors when a computer
	# restarts while Vagrant is running or the VM crashes unexpectedly.
	#
	# Usage:
	# bash vagrant-vmware-repair.sh <vm-name> # Interactive mode (recommended)

	#!/usr/bin/env bash
	# =============================================================================
	# fetch_aws_mfa_creds.sh
	# Fetches temporary AWS session credentials using an MFA token and stores
	# them under a dedicated [mfa] profile in ~/.aws/credentials.
	#
	# Usage:
	# ./fetch_aws_mfa_creds.sh <6-digit MFA token>
	#
	# Prerequisites:

	#!/bin/bash

	CYAN='\033[0;36m'
	GREEN='\033[0;32m'
	YELLOW='\033[1;33m'
	RED='\033[0;31m'
	BOLD='\033[1m'
	NC='\033[0m'

	# Use $HOME by default, or override with CLEANUP_HOME env var

	import json

	# Path to your HAR file
	har_file = "example.har"

	# Load HAR file
	with open(har_file, "r", encoding="utf-8") as f:
	har_data = json.load(f)

	# HAR files store entries under log.entries

	#!/usr/bin/env bash
	set -euo pipefail

	AWS_PROFILE="devops"

	function hosted_zone_exists() {
	local domain=$1
	aws route53 list-hosted-zones-by-name \
	--dns-name "$domain" \
	--query "HostedZones[?Name=='${domain}.'] \| length(@)" \

	import { DBSQLClient } from "@databricks/sql";
	import IDBSQLSession from "@databricks/sql/dist/contracts/IDBSQLSession";

	interface DataBricksWareHouseConnect {
	token: string;
	host: string;
	path: string;
	}

	class DataBricksManager {

	from databricks import sql

	DATABRICKS_USE2_PAT = ""

	use2_workspace = sql.connect(
	server_hostname="<YOUR-SERVER-HOSTNAME>",
	http_path="<YOUR-HTTP-PATH>",
	access_token=DATABRICKS_USE2_PAT,
	catalog="<YOUR-CATALOG-NAME>",
	schema="<YOUR-SCHEMA-NAME>"