How I Built a Full-Stack Roulette Game with Claude AI and Deployed It to AWS — While Learning Everything Along the Way
The article details the author's journey in building a full-stack roulette game using Claude AI and deploying it on AWS. The project involved learning various aspects of web development, including coding, containerization, and deployment. The author emphasizes the collaborative nature of working with AI as a development partner throughout the process.
- ▪The author built a free online roulette game called Big Spin Fun using Next.js, Django, PostgreSQL, and Nginx.
- ▪Claude AI played a significant role in writing the majority of the code and assisting with architectural decisions.
- ▪The project served as a learning experience for the author, who aimed to understand the full lifecycle of web application development.
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/booker357/how-i-built-a-full-stack-roulette-game-with-claude-ai-and-deployed-it-to-aws-while-learning-2kb7 |
| Publication time | Sun, 24 May 2026 01:45:23 +0000 |
| Retrieval time | 2026-05-24T02:07:28.716Z |
| Last seen | 2026-05-24T02:07:28.716Z |
| 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 | 37EuoHYX7_oN |
| 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 === 3948403) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Book Posted on May 24 How I Built a Full-Stack Roulette Game with Claude AI and Deployed It to AWS — While Learning Everything Along the Way #docker #nextjs #aws #django I wanted to build a roulette website. I also set out to learn. I have worked in IT for some time, started with Windows admin, moved to Linux, and then onto some basic DevOps work. I may have gotten to the 4th chapter of every Python book ever written, but never fully committed to programming.
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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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