2026-05-20
Language: C#
This is a .NET event management application that the author has been building since mid-April as a self-directed learning exercise. What makes it worth a look isn't the domain (event management is well-trodden territory) but the deliberately ambitious technology stack the developer has chosen to wrestle with in a single project.
The README and repo structure point to three meaty integrations being tackled simultaneously:
LIKE queries to actual relevance-ranked search across event contentThat trio is genuinely uncommon in a hobby project. Most learning repos pick one new technology and bolt it onto a CRUD baseline. Laurent is instead constructing something closer to a realistic production architecture in miniature — the kind of setup you'd see in an actual mid-sized SaaS company, just scaled down to a learning context.
Who would benefit from following this:
The risk with this kind of project is incompleteness — ambition often outruns finishing time. But even a partially-built reference like this can be valuable to read, because the configuration glue between Elasticsearch, Redis, and Terraform is exactly what's missing from most isolated tutorials.
