Artificial Intelligence has rapidly transformed the way developers write and interact with code. In this talk, I will share my personal journey of integrating AI-powered tools into my development workflow—how they started as simple assistants and eventually became accelerators for productivity. From generating boilerplate code to debugging complex logic, AI has been a game-changer in many aspects of coding. However, like any tool, it comes with its own set of challenges, including dependency concerns, accuracy limitations, and the risk of stifling creativity.

Throughout the session, I will break down the pros and cons of using AI in software development. On the positive side, AI can significantly reduce development time, provide instant access to knowledge, and automate repetitive tasks, allowing developers to focus on higher-level problem-solving. On the flip side, relying too much on AI can lead to shallow understanding, introduce subtle errors, and sometimes produce code that doesn’t align with best practices. By sharing real-world examples, I will highlight both the strengths and the pitfalls of AI-assisted coding.

To help developers make the most of AI, I will also provide practical tips on how to use these tools effectively without becoming overly reliant on them. This includes strategies such as treating AI-generated code as a draft rather than a final solution, using AI to enhance problem-solving skills rather than replace them, and continuously improving one’s coding fundamentals to complement AI assistance. Whether you’re a beginner looking to get started with AI tools or an experienced developer seeking to optimize your workflow, this talk will provide valuable insights into leveraging AI to become a better, more efficient programmer.