Matthew Berman

Learn how to develop and deploy AI agents ethically, examining critical concerns around fairness, bias, transparency, privacy, and accountability. Discover practical frameworks for responsible agent design, testing methodologies to detect potential harms, and governance approaches to ensure ongoing ethical operation.

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Master the fundamentals of AI agent development with this hands-on guide. Learn to set up your environment, implement reactive and model-based agents, integrate planning capabilities, connect to external tools, and thoroughly test your agent. Gain practical skills through step-by-step examples suitable for beginners and intermediate developers.

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Explore how AI agents are being deployed across industries to solve real problems. Examine practical implementations of conversational agents, autonomous systems, recommendation engines, industrial automation solutions, and gaming applications, with case studies highlighting tangible benefits and implementation challenges.

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Discover cutting-edge techniques that push AI agents beyond basic implementations. Learn how advanced memory systems, sophisticated learning algorithms, cognitive architectures, and integration approaches create agents capable of solving the most challenging real-world problems.

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Discover the fundamental design patterns that power effective AI agents. Learn how to implement Tool Use, Planning, Retrieval-Augmented Generation, and Multi-Agent architectures, with practical strategies for handling failures and ensuring robust agent behavior.

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Explore the five fundamental types of AI agents—from basic reactive systems to advanced learning agents. Learn how each type processes information, makes decisions, and when to use different agent architectures for various application scenarios.

Explore leading frameworks that simplify the development of AI agents. This chapter compares their capabilities, use cases, and integration approaches, providing practical guidance on selecting the right framework for your specific agent needs.

Explore cutting-edge tools, emerging trends, and future scenarios in AI-assisted development. Learn how coding assistants are evolving from simple autocomplete to autonomous agents, and discover strategies to stay relevant in this rapidly changing landscape.

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Master the critical security and maintainability practices essential for vibe coding projects. Learn to identify and prevent common vulnerabilities in AI-generated code while maintaining clean, sustainable codebases that scale beyond rapid prototyping.

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Learn to identify and overcome the most common workflow breakdowns in vibe coding projects. Master techniques for maintaining discipline, managing AI context, and avoiding the pitfalls that derail even experienced vibe coders.

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Learn how to leverage AI tools to generate production-quality code from natural language prompts. This comprehensive guide covers planning strategies, version control workflows, iterative development techniques, and maintaining secure, maintainable software.

Learn how to set up effective rules in vibe coding tools like Cursor, Windsurf, and Cline that act as system prompts, ensuring your AI coding assistant follows your preferred patterns, workflows, and coding standards.

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Learn iterative prompting techniques to refine AI responses, improve code accuracy, and avoid common misunderstandings. This lesson focuses specifically on crafting prompts that produce high-quality, functional code through strategic communication with AI coding assistants.

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Master the art of AI-assisted coding by configuring VS Code with cutting-edge AI tools, establishing bulletproof project structures, and adopting proven practices that multiply your development speed while maintaining code quality.

Learn how AI-assisted coding tools are transforming software development by enabling developers to write code through natural language prompts. Discover leading AI coding tools, best practices for effective collaboration with AI, and step-by-step guidance to incorporate these tools into your programming workflow.

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