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Concurrent scripts and tools in the Dust language
Service description
I will build concurrent scripts and tools in the Dust language, the general-purpose language focused on simplicity and safe parallelism. Dust is statically typed and ships with an interpreter plus tooling, which makes it a great fit for scripting, data tasks, and programs that need to do many things at once without the usual threading headaches.
What you get from this gig:
— Command-line tools and utilities written in clean, readable Dust that anyone on your team can maintain.
— Data-processing pipelines that read, transform, validate and export your files or records, running work in parallel where it pays off.
— Concurrent workers and task runners that fan out across cores safely, so batch jobs finish faster.
— Small automation scripts that glue your services together, schedule work, and report results.
How I work: I start from your requirements and sample data, agree on inputs and outputs, then implement in idiomatic Dust with static types catching mistakes before they run. I lean on the language's concurrency model so parallel code stays predictable and free of data races. Every deliverable comes with clear usage instructions, inline comments, and a short README so you are never locked in.
You will also get basic tests, sensible error handling, and guidance on running the interpreter and tooling in your environment. If you are new to Dust, I explain the trade-offs and help you decide where concurrency actually helps.
Message me with your task, expected data volume, and deadline, and I will scope it precisely. Whether it is a one-off script or a reusable tool, I deliver tidy, tested Dust code you can build on.
What you get from this gig:
— Command-line tools and utilities written in clean, readable Dust that anyone on your team can maintain.
— Data-processing pipelines that read, transform, validate and export your files or records, running work in parallel where it pays off.
— Concurrent workers and task runners that fan out across cores safely, so batch jobs finish faster.
— Small automation scripts that glue your services together, schedule work, and report results.
How I work: I start from your requirements and sample data, agree on inputs and outputs, then implement in idiomatic Dust with static types catching mistakes before they run. I lean on the language's concurrency model so parallel code stays predictable and free of data races. Every deliverable comes with clear usage instructions, inline comments, and a short README so you are never locked in.
You will also get basic tests, sensible error handling, and guidance on running the interpreter and tooling in your environment. If you are new to Dust, I explain the trade-offs and help you decide where concurrency actually helps.
Message me with your task, expected data volume, and deadline, and I will scope it precisely. Whether it is a one-off script or a reusable tool, I deliver tidy, tested Dust code you can build on.
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