Learn how we use GPT-based products as tools in a professional webdev setting.

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Large language models like ChatGPT and Code GPT can be useful tools for professional web development. They offer features like code generation, unit test generation, code review assistance, refactoring, documentation, and more. ChatGPT can help with writing complex Mongo queries and can save time in regex and scraping tasks. However, it's important to use these tools in moderation and double-check their output. AI won't replace jobs but improve productivity, and taste and quality remain important in the flood of AI-generated art. There are potential challenges such as the 'poisoning the well' problem and the dominance of Microsoft in the AI space. Prompt engineering is important in building reliable products using GPT3, and developing LLM-driven products requires addressing risks and challenges. GPT-driven products have various applications for clients, and the internet has changed with the emergence of AI tools.

ChatGPT use case examples for programming

Daniel’s ‘Code GPT’ vscode plugin review

Olga on writing Mongo queries with ChatGPT

Akos on using ChatGPT instead of StackOverflow

Me, Navigating the hallucinations of chatGPT