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Artificial intelligence is transforming how developers build software. From code generation to automated testing, AI tools are becoming essential parts of the modern development workflow. Large language models can now understand context, generate code, and even debug complex issues across entire codebases. The key to leveraging AI effectively is understanding its strengths and limitations. AI excels at pattern recognition, boilerplate generation, and repetitive tasks. It struggles with novel architecture decisions, nuanced business logic, and understanding implicit requirements that humans take for granted. Developers who learn to work alongside AI agents will have a significant productivity advantage. The future belongs to those who can orchestrate multiple AI tools, coordinate autonomous agents, and build systems that compound intelligence over time.