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Explore the software developer's journey into AI Agent creation through this 30-minute conference talk that examines the evolving toolkit and practical challenges of building intelligent agents. Discover specialized development environments including Cursor IDE and VS Code with AI Agent extensions, alongside frameworks like LangChain and LlamaIndex that streamline complex workflows. Learn from firsthand comparisons between local development using models like Ollama, LM Studio, and LLM Runner versus production deployments with OpenAI and Anthropic APIs, including how to consume MCP Servers to provide tools for your agents. Navigate critical technical decisions such as choosing between RAG and fine-tuning approaches, understand how testing methodologies differ from traditional software development, and tackle the unique debugging challenges inherent in non-deterministic systems. Address the complexities of deploying AI Agents in production environments and discover developer strategies for minimizing associated risks in this rapidly evolving technological landscape.
