Welcome to AI Agents Blog

What are AI Agents? AI agents are autonomous software entities that can perceive their environment, make decisions, and take actions to achieve specific goals. Unlike traditional software that follows pre-programmed instructions, AI agents can adapt, learn, and respond to changing conditions in real-time. Key Characteristics of AI Agents 1. Autonomy AI agents operate independently without constant human supervision. They can: Make decisions based on their objectives Adapt to changing circumstances Learn from experience 2. Reactivity Agents can perceive and respond to their environment: ...

Prerequisites Before we start building our AI agent, make sure you have: Python 3.8 or higher installed Basic understanding of Python programming An OpenAI API key (for the language model) Familiarity with command line interface Setting Up the Environment First, let’s create a new project and install the required dependencies: 1 2 3 4 5 6 7 8 9 mkdir my-first-ai-agent cd my-first-ai-agent # Create a virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install required packages pip install openai python-dotenv requests beautifulsoup4 Create a .env file to store your API key securely: ...

🎯 What We Built Today, I’m excited to share that we’ve integrated the Claude Code PM system into both our Python and React cookiecutter templates! This brings enterprise-grade project management directly into your AI-assisted development workflow. 🔥 The Problem We Solved Working with Claude Code is amazing, but managing complex projects can get messy: Context gets lost between sessions Multiple features become hard to track Team collaboration with AI is challenging No clear path from idea to production ⚡ The Solution: PM System Integration Now, when you generate a new project from our templates, you can enable the full Claude Code PM system with a simple use_claude_pm: y option. ...

How did LinkedIn’s ‘Who Viewed Your Profile’ feature lead to Apache Kafka and Pinot? And why is this 10-year-old architecture critical for AI agents? 4 key lessons from the data processing revolution.

Step-by-step guide to enable Sonnet 4 [1m] in CLI with 1 million token context, organize project memory (CLAUDE.md), and configure sub-agents for full-stack development automation.