Rajiv Mehta rajivmehtaflex

/// script

requires-python = ">=3.10"

dependencies = [

"vllm",

"transformers",

"datasets",

]

///

Your Python code here

For complex tasks, I never ask for code first. My initial prompt is to create a plan "Create a detailed implementation plan for [FEATURE, BUG]".
Create multiple hierarchical GEMINI md files defining roles, helpful code snippets, and a strict rule: "You cannot edit this file."
Collaboration >> YOLO. I don't use a "YOLO mode" and rather intercept and re-prompt.
Use MCP servers to access bugs, issues, browsers, Github (& internal tools), or run code in sandboxes.
Leverage the 1M Context. Instruct it to read a lot of files into context or use “@” primitives.
Code → Test → Commit. I force it to write tests or execute code snippets and have it fix it in a loop.

Gemini CLI comes with a free usage for Gemini 2.5 Pro. Give it a try and let us know what you think.

MCP Local Server Setup Guide

A complete step-by-step guide to create a local MCP (Model Context Protocol) server from scratch.

Prerequisites

Python 3.12 or higher
uv package manager installed (Install uv)

Step-by-Step Setup

How LLMs Actually Work: A Plain-English Guide to Transformer Architecture

A from-scratch walkthrough of what happens between typing a prompt and getting a response — no ML background assumed.

What This Guide Covers

Every large language model — GPT-4, Claude, Gemini, Llama — is built on the same core idea. This guide follows that idea in the exact order data actually flows through a real model: text in, tokens, vectors, 80 stacked layers, and a word out — then loops back to explain how the model got trained in the first place. Read it top to bottom; each section is built to need only what came before it.

The One Job an LLM Has
Vectors — Turning Words Into Math

File: gemini_thinking_deep.py

from google import genai
import os
os.environ['GEMINI_API_KEY'] = '<KEY>'

client = genai.Client(
    api_key=os.environ['GEMINI_API_KEY'],
    http_options={

Custom Context Provider for Continue.dev VS Code Extension

This gist demonstrates how to create a custom context provider for the Continue.dev VS Code extension using a FastAPI server. This allows you to integrate external data sources or custom logic into the Continue.dev context.

Overview

The provided code consists of two files:

server.py: A Python file that sets up a FastAPI server with a single endpoint /check. This endpoint receives data in the form of a JSON object, and returns a JSON response with content and description.
requirements.txt: A text file that lists the Python dependencies required to run the FastAPI server.

Setting Python 3.12 as Default on macOS Sequoia 15.2

This guide explains how to set Python 3.12 as the default Python version on macOS Sequoia 15.2, so that typing python in the terminal runs Python 3.12. It also covers keeping the ability to call any Python 3.x version using python3.

Understanding the Situation

macOS System Python: macOS has a system Python installation at /usr/bin/python, used by the OS and should not be modified.
Multiple Python Versions: You likely have multiple Python versions installed, possibly via Homebrew.
python vs. python3: Typically, python points to an older version, while python3 specifically calls Python 3. The goal is to have python point to 3.12 while still being able to use python3 for other 3.x versions.

	#uv add browser-use
	#playwright install-dep
	#playwright install-deps
	#playwright install

	import asyncio
	from dotenv import load_dotenv
	from langchain_openai import ChatOpenAI
	from browser_use.browser.browser import Browser, BrowserConfig
	from browser_use import Agent

	#!/bin/bash

	# Set errexit to exit immediately if a command exits with a non-zero status
	set -e

	# Print a message indicating the start of the script
	echo "Starting Rust installation script..."

	# Download and execute the rustup installer
	echo "Downloading and executing rustup installer..."

	import asyncio
	import base64
	import json
	import os
	import pyaudio
	from websockets.asyncio.client import connect


	class SimpleGeminiVoice:
	def __init__(self):