GPT Cookbook | Efficient Project Programming (BrilliantSoup)

5 min readSep 28, 2023


Let’s program efficient projects! Project management is a fight between scope, time, and cost. The following Artificial Intelligence process is where expediency contends with quality. Let’s look into the steps necessary to get a programming project off the ground from concept to implementation. To see what I mean, I’ll show you “BrilliantSoup” as a case study to illustrate how to be more efficient.

PSA: Be careful with what you share, and who you share it with. Never scrape the web unless you follow a website’s robots.txt file.

Photo by Anton Filatov on Unsplash

Crawl Phase: Speedy Development

Insert Idea

The initial thought for any programming project is the “idea” phase. Here, you will outline the Problem — Solution or Service that will be provided. For our project, “BrilliantSoup,” let’s say the idea is to develop a shell interface to scrape web data.

Expand the Idea

In this phase, we will form the initial idea to a better understanding for features to be identified. For example, “BrilliantSoup” has features that include:

  • BeautifulSoup for data scraping
  • Real-time output visualization using Computer Vision Models
  • The ability to use this as a web scraping shell with an interactive command line interface, built-in security, scripting capabilities, modular architecture, and data privacy

Add to the Idea Until It’s Mostly Conceptualized

Once the idea is understood better, we’re closer to the finish line.

Things we could do is to research similar projects, ask “is this feasible”, and discover the tech stack you need. For“BrilliantSoup,” we will make it into a Python Library on PyPI. Users can now type the following for an import.

Walk Phase: Project Planning

Create a Gantt Chart

Timelines are important to achieve milestones. A Gantt chart helps show the timeline, milestones, and dependencies. Each task is divided.