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I'm currently learning about AI agents and thought it would be helpful to share my findings. Below, I've grouped AI agent technologies into 13 main categories. Each category has a brief explanation to make things clearer. After the categories, you'll find a list of the technologies with links to their websites for further reading. In progress, will be updated. 1. Design & Architecture Frameworks These are the foundational patterns and models that define how AI agents are structured and behave. They include various architectural approaches like reactive and proactive designs, cognitive models like BDI (Belief-Desire-Intention), and frameworks that specify how agents interact with their environments. The newer ReAct Pattern and chain-of-thought training frameworks help agents reason and act more effectively. 2. Development & Building Tools These tools facilitate the creation of AI agents, from comprehensive frameworks like LangChain and Microsoft AutoGen to vi...

AI is rapidly changing the way we work, creating a new generation of professionals who can make a real difference. According to Andrew Ng, a leading AI expert and founder of DeepLearning.AI, we can expect to see many more high-impact roles emerge across various industries, all thanks to AI. In software development, AI-assisted coding is rapidly gaining traction. Here's a snapshot of key milestones: - 2021: Introduction of GitHub Copilot in June, marking a significant advancement in AI coding assistance. - 2022: General availability of GitHub Copilot in June. - 2024: WindSurf and Cursor emerge as powerful AI-assisted coding tools, combining advanced features and gaining popularity among developers. - Late 2024: Senior developers report a 20% boost in efficiency with AI coding tools; - March 2025: A GitHub survey reveals that 97% of developers are utilizing AI coding tools at work; Google CEO Sundar Pichai discloses that over 25% of new code at Google is AI-generated; - 2027 Pro...