About the service
I'll write concurrent scripts and tools in Dust — a general-purpose language focused on simplicity and safe parallelism. Dust is statically typed, ships with an interpreter and toolset, so it's perfect for scripts, data processing tasks, and programs that need to do many things at once without the usual pain of threads.
What's included:
— Command-line utilities and tools in clean, readable Dust code that any team member can maintain.
— Data processing pipelines: reading, transforming, validating, and exporting your files or records, with parallel execution where it wins.
— Concurrent handlers and task schedulers that safely distribute work across cores so batch jobs finish faster.
— Small automation scripts that tie your services together, run work on schedule, and send result reports.
How I work: I start from your requirements and data samples, confirm inputs and outputs, then build everything in idiomatic Dust style — static types catch errors before runtime. I rely on the language's concurrency model to keep parallel code predictable and free of data races. Every result comes with a clear usage guide, code comments, and a short README so you won't depend on me.
You also get basic tests, sensible error handling, and recommendations for running the interpreter and tools in your environment. If you're new to Dust, I'll explain the tradeoffs and help you decide where parallelism really matters.
Write me the task, expected data volume, and deadline — I'll estimate precisely. One-off script or reusable tool: I hand over tidy, tested Dust code you can build on.
What's included:
— Command-line utilities and tools in clean, readable Dust code that any team member can maintain.
— Data processing pipelines: reading, transforming, validating, and exporting your files or records, with parallel execution where it wins.
— Concurrent handlers and task schedulers that safely distribute work across cores so batch jobs finish faster.
— Small automation scripts that tie your services together, run work on schedule, and send result reports.
How I work: I start from your requirements and data samples, confirm inputs and outputs, then build everything in idiomatic Dust style — static types catch errors before runtime. I rely on the language's concurrency model to keep parallel code predictable and free of data races. Every result comes with a clear usage guide, code comments, and a short README so you won't depend on me.
You also get basic tests, sensible error handling, and recommendations for running the interpreter and tools in your environment. If you're new to Dust, I'll explain the tradeoffs and help you decide where parallelism really matters.
Write me the task, expected data volume, and deadline — I'll estimate precisely. One-off script or reusable tool: I hand over tidy, tested Dust code you can build on.
