This video tutorial explains how to efficiently engage with large language models (LLMs) for software development projects, specifically focusing on creating a photo-sharing app similar to Instagram. The presenter outlines a two-part approach to interacting with LLMs: defining the LLM's role (e.g., as a software architect with specific expertise) and providing detailed context about the project. By doing so, the LLM can offer valuable, actionable advice on project steps such as designing a database schema and setting up a server with Node and Express. The importance of clarity and effective prompting when seeking quality responses from LLMs is emphasized. The presenter also shares insights on the probabilistic nature of LLMs' outputs, offering guidance for developers to achieve the best results in their projects.

00:00 Introduction to Enhancing Project Planning with LLMs
00:39 The Power of Effective Prompting
01:31 Crafting a Detailed Use Case for Software Development
04:32 Executing the Plan: From Prompt to Project Blueprint
07:34 Reflections and Advice on Using LLMs for Project Development
08:10 Closing Thoughts and Encouragement

The prompt used in the video is below
You are an expert Software Architect with years of experience in developing and shipping large scale software applications. You are expert in NodeJS, TypeScript, Mongo DB among other necessary tools in the ecosystem

I need to develop an Instagram like photo sharing app with similar features as Instagram. Help me organize my action items in order. Then, with each step give me concrete code that I can use in my application. For example, if designing schema, I need to know what fields and their types would be. Help me create necessary application types and write code to interact with the db for each features.
For now, let's scope that users will add post that may contain images and tags. Do not use mongoose library, rather rely on official mongodb nodes driver for the work. Stick to type safety by leveraging TypeScript in the code