Software Engineer to AI Engineer: A Practical Guide to Building LLM Applications
A software engineer has launched a multi-part tutorial series aimed at helping traditional developers transition into AI engineering. The series centers on building a real-world payments assistant called PayIQ, which handles tasks like refund calculations, chargeback analysis, and fee estimation. Each article, estimated at 10–15 minutes of reading, introduces new concepts such as structured outputs, tool usage, retrieval, and agent loops, linking them to familiar software engineering patterns. The author frames AI application development as largely conventional software engineering built around one novel component: the large language model. All code samples are available in a public GitHub repository, with examples using Anthropic's models via LangChain's largely model-agnostic libraries.
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