Rapidly building with Gleam
summary
iindy runs a rules engine in Gleam on BEAM for WhatsApp and Instagram messaging and it reliably scales so missing user messages is not an option. development uses Docker Compose for parity between dev and prod and a custom reloader for Mist and Wisp. Gleam’s use statement is highlighted as a high‑leverage feature and a Gleam build pipeline (Midas) generates JS bundles from Gleam modules; it mostly works but hits limits around runtime references. surprise metric: 37,000 commits a year.
AI-written summary · about
chapters (12)
- 0:00Introduction to Gleam
- 1:28Right thing vs right way
- 5:22Fast feedback and iteration
- 8:36Eliminate unnecessary components and complexity
- 12:26Simplicity effort
- 18:00Gleam use and railway programming
- 21:10Gleam as a tool for organizing thoughts
- 26:27Type system for systems
- 30:21Web beyond frontend/backend
- 32:29Midas library pipelines
- 35:38Gleam's limitations future
- 36:45Q&A
