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Developing a Fuel Availability Monitor Using AI: A Product Manager's Experience

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Developing a Fuel Availability Monitor Using AI: A Product Manager's Experience

Igor, a product manager at Outlines Tech, shared his experience building a custom tool to track the availability of AI-95 gasoline at gas stations. Frustrated by long queues, the author decided to automate the monitoring process despite having no formal background in software development. To achieve this, he relied heavily on ChatGPT to write code and debug issues throughout the development lifecycle. The tool proved successful, allowing the author to refuel without waiting for hours. The project was released as an open-source solution, and the source code is now available on GitHub for anyone to use. This case study demonstrates how modern LLM tools empower non-professional developers to create practical applications to solve everyday problems.

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