When a team moves from a monolith into microservices and event-driven, asynchronous systems, it inherits a class of problems that used to be someone else's: work that fails halfway through, steps that must not run twice, calls that return before the work is done. Temporal is a durable execution engine that handles a lot of this - you define a multi-step process, and it guarantees the process runs to completion... - Source: dev.to / 21 days ago

Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:. - Source: dev.to / 26 days ago

Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / about 2 months ago

We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / 3 months ago

The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 4 months ago

Reflex is an open-source full-stack web framework written in and for Python that lets you build both frontend UI and backend logic in pure Python, i.e., you don’t need to manually write JavaScript or separately manage a React/Vue frontend and a separate backend. - Source: dev.to / 5 months ago

> They converted it from React to HTMX, cutting their codebase by almost 70% while significantly improving its capabilities. Happy user of https://reflex.dev framrwork here. I was tired of writing backend APIs with the only purpose that they get consumed by the same's app frontend (typically React). Leading to boilerplate code both backend side (provide APIs) and frontend side... - Source: Hacker News / 10 months ago

Streamlit is one such tool that offers a simple, Pythonic approach. However, it suffers from two main weaknesses: the script needs to be re-run after every user interaction, and customizing the look and feel of a Streamlit app is dificult. Shiny for Python is a great alternative for building dashboards and small data-backed apps. Shiny only re-renders code as necessary - not the entire script, and offers more... - Source: dev.to / about 1 year ago