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AppSignal
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windmill
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cadence
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inngest-js
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envelop-plugin-inngest
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SaaSHub
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sdk-java discussion
sdk-java reviews and mentions
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PaidYet: for the friend who says “kal bhej dunga”
PaidYet is a Telegram bot that runs on your laptop, for the friend who always says "haan bhai, kal bhej dunga" ("yeah, I'll send it tomorrow") and then forgets. Send it a bill photo or a line like "Rahul ko 500 dene hai Friday tak". Gemma, running locally in Ollama, reads it, and you tap Save. Then a durable Temporal workflow keeps reminding you until you tap Paid. Sentry traces every step without seeing a single bill.
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Two-Phase Commit Is a Trap: How Real Systems Do Distributed Transactions
Temporal, built by the people behind Uber's Cadence workflow engine, and AWS Step Functions both exist specifically to be that component.
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OrcFlows: AI workflow automation that doesn't break at 3 a.m.
TL;DR: OrcFlows is a workflow automation platform for people who run automations that matter. Every run is a durable Temporal workflow that survives crashes and deploys. AI agents leave a full decision trace. Changes are versioned, diffed, tested against evals and promoted through dev → staging → prod with approvals. There's a free plan, flat pricing, and no per-task fees. Try it at orcflows.com.
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Building Durable, AI-Powered Workflows in Django
The project is a Django application backed by PostgreSQL. Product onboarding is asynchronous, so the HTTP request does not perform every step itself. Instead, Django creates the product and starts a Temporal workflow.
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23 TypeScript Tools for Making Software Explicit in the AI Era
Temporal makes durable workflows, activities, retries, timers, failures, and long-running execution explicit.
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Temporal vs. Diagrid Catalyst: Which Durable Execution Approach Fits a Long-Running AI Research Agent?
Temporal
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Temporal in Production: Sharp Edges & Good Practices
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 even when workers crash in the middle.
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Your Agent Bills While It Waits. Here's the Fix.
Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:
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Compiler as Custodian
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 pure-core / impure-shell discipline is structural: a Temporal workflow is a pure function over its event history, which is the same constraint Haskell already imposes on pure code.
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How we turned our workflow editor into a real SDK
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 one adapter away. Temporal also gives us, for free, the primitives every team kept rebuilding by hand: durable retries, idempotent activities, an audit trail by construction, and cancellation as a first-class signal.
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A note from our sponsor - AppSignal
www.appsignal.com | 6 Oct 2026
Stats
temporalio/sdk-java is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of sdk-java is Java.