How to make a Django application using GitHub Copilot
The article provides a tutorial on creating a simple password generator application using Django and GitHub Copilot. It outlines the necessary setup and steps to develop the application, including installing required software and creating a GitHub repository. Additionally, it discusses the benefits of using GitHub Copilot for code generation and offers insights into project documentation.
- ▪The tutorial focuses on building a password generator application with Django using GitHub Copilot.
- ▪Users need to install Python, Git, and PyCharm, and create a GitHub account to follow along.
- ▪The project includes creating a README file and an AGENTS file to help the Copilot understand the project better.
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/santiagohebo/how-to-make-a-django-application-using-github-copilot-bee |
| Publication time | Sun, 17 May 2026 20:55:42 +0000 |
| Retrieval time | 2026-05-17T21:03:21.008Z |
| Last seen | 2026-05-17T21:03:21.008Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | dQdGjIaRvT66 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3909705) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Santiago Hernandez Posted on May 17 How to make a Django application using GitHub Copilot #githubcopilot #ai #django #webdev We'll develop a simple password generator Django application using GitHub Copilot agent mode. At the end we'll analyze the tradeoffs of using LLMs to develop this application. To do this we'll use the GitHub Copilot plugin for PyCharm, you can do the same thing using VS Code if you want to. I'll be using GPT-4.1 in this tutorial.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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