Launching a brilliant project idea, only to discover later that it doesn't meet your users' needs or isn't feasible within your technical limits, can significantly slow progress. In software development, building, testing, and gathering feedback early on are crucial steps to avoid these pitfalls.
With a clear understanding of what a PoC is and how it can help validate a project idea, the next step is to set up the development environment to start building the book review app.
Setting up the development environment
For this PoC, Django will be used as the framework, and the development environment will be set up on Windows.
To build your PoC, you first need to set up the development environment.
While this tutorial will use Django, the methodology can be used across any framework.
Start by creating a new virtual environment env by running the command below:
python -m venv env
This command tells Python to create the virtual environment in a folder named env in the current directory.
On creation, the virtual environment is activated using the following:
#windows
env\Scripts\activate
#linux
source env/bin/activate
On activating the environment, you can install Django using the following command:
pip install django
With your Django environment ready, the next step is to set up Cody. To do that, follow these steps:
Sign up for a
Install Cody for any of , IntelliJ (or any other JetBrains IDE), or Neovim.
NB: VS Code is the IDE used throughout this article.
with AI assistance.
to plan the book review app by assisting in defining the app's:
requirements
features- architecture
Cody supports the latest LLMs, including Claude 3.5, GPT-4o, Gemini 1.5, and Mixtral-8x7B. Cody uses Claude 3.5 Sonnet by default, but you can upgrade to pro to access other models like GPT-4o and Gemini 1.5 Pro.
This tutorial uses GPT-4o.
Developing the app with Cody
Traditionally, developing a PoC involves several key steps that are undertaken manually:
Defining the project scope: The core features and functionalities that the PoC should demonstrate are identified, typically involving drafting a detailed requirements document.
Setting up the project structure: Next, the necessary directories and files for the project are created, version control like Git is set up, and folders are organized for code and documentation.
Writing initial code: The basic functionalities are coded, which usually includes setting up a web server, defining models, establishing the database, and writing functions to handle CRUD (Create, Read, Update, Delete) operations.
Testing: Finally, test cases are manually written and run to ensure that the basic functionalities work as expected, often involving unit tests for individual components and integration tests to verify how different parts of the application interact.
This approach, while effective, can be time-consuming and requires significant manual effort.
In comparison, an AI-assisted approach with tools like Cody simplifies the development process. AI significantly reduces the time needed to build and polish a PoC by automating routine tasks, generating foundational code, and offering real-time guidance.
After setting up the project and app, prompt Cody to create the app’s views and templates:
What’s a PoC app without basic styling? Cody can help with that, as illustrated in the images below:
feature, simply highlight the specific code area you want to test; in this case, the Review model and Cody automatically generates the relevant unit tests.
and take your projects to the next level. Additionally, don’t miss the chance to connect with experienced developers, collaborate on exciting projects, and contribute to a
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