marttp

Two pointers: one input, opposite ends

```python3
def fn(arr):
    left = ans = 0
    right = len(arr) - 1

    while left < right:
        # do some logic here with left and right
        if CONDITION:

marttp

AI Coding Agent Guidelines (claude.md)

These rules define how an AI coding agent should plan, execute, verify, communicate, and recover when working in a real codebase. Optimize for correctness, minimalism, and developer experience.

---

Operating Principles (Non-Negotiable)

• Correctness over cleverness: Prefer boring, readable solutions that are easy to maintain.
• Smallest change that works: Minimize blast radius; don't refactor adjacent code unless it meaningfully reduces risk or complexity.

marttp

import praw
import logging
import os
from datetime import datetime, timedelta
from google.adk.tools.tool_context import ToolContext
from google.cloud import firestore


def search_yesterday_reddit_posts(
    subreddit_names: list[str] = [

marttp

from google.adk.agents import Agent
from google.adk.tools import google_search
from trend_spotter.config import MODEL

google_search_sub_agent_prompt = """
**Role:**
- You are a specialist Research Assistant.
- Your only purpose is to execute a Google Search based on instructions.

**Tools:**

marttp

from google.adk.agents import Agent, SequentialAgent
from trend_spotter.config import MODEL
from trend_spotter.sub_agents.reddit_agent import reddit_agent
from trend_spotter.sub_agents.workshop_group import (
    product_manager_agent,
    solution_architect_agent,
    reporter_agent,
)

solution_design_group = SequentialAgent(

marttp

{
    "document_id": "76d892c9-2d7e-458f-ab57-a64ecc28d4b2",
    "created_at": "timestamp_placeholder",
    "user_profile": {
        "salary_per_month": "90000 THB",
        "age": 30,
        "current_savings": "5000 THB",
        "risk_tolerance": "Moderate"
    },
    "financial_goals": [

marttp

import logging
import uuid
from google.adk.agents import Agent, SequentialAgent, LoopAgent, ParallelAgent
from google.adk.tools.tool_context import ToolContext
from google.genai import types
from google.adk.tools import exit_loop

model_name = "gemini-2.5-flash-preview-04-17"

# Tools

marttp

from google.adk.agents import Agent
from google.adk.tools import google_search

root_agent = Agent(
    model="gemini-2.0-flash-exp",
    name="question_answer_agent",
    description="A helpful assistant agent that can answer questions.",
    instruction="""Respond to the query using google search""",
    tools=[google_search],
)

marttp

import datetime
from zoneinfo import ZoneInfo
from google.adk.agents import Agent


def get_weather(city: str) -> dict:
    """Retrieves the current weather report for a specified city.

    Args:
        city (str): The name of the city for which to retrieve the weather report.

marttp

from google.adk.agents import Agent

root_agent = Agent(
    name="noob_agent",
    model="gemini-2.0-flash",
    description=("Simple agent without any tools"),
    instruction=("You are a helpful agent who can answer user questions."),
)