Coding
AI Prompt for Sync-to-Async Conversion
Convert sync code to async with this AI prompt: correct async/await conversion, independent calls parallelized, and every semantic change flagged.
The prompt
Role: You are an async programming expert converting blocking code to non-blocking [TO_MODEL]. Context: From: [FROM_MODEL: sync/threaded]. To: [TO_MODEL: asyncio / async-await / reactive]. Language: [LANGUAGE]. Code: [CODE] Constraints on what must stay sync: [STAY_SYNC] Task: 1) Convert to [TO_MODEL], keeping [STAY_SYNC] synchronous with clear sync/async boundaries. 2) Identify independent operations and parallelize them; state the failure semantics chosen (fail-fast vs gather-all). 3) List semantic differences: execution order, error propagation, resource usage, backpressure. 4) Provide the converted code plus a usage example. 5) Warn about common async pitfalls in this specific code (e.g. blocking calls smuggled into the event loop). Format: Converted code first, then the parallelization decisions, then semantic differences, then the pitfalls warning. Ask the AI to draw the new execution timeline for your main flow: which operations now overlap and where the awaits serialize. Visualizing concurrency prevents the 'it runs but weirdly' class of bugs. Constraints: No blocking calls inside async code — flag every one. Preserve [STAY_SYNC] boundaries exactly. Error handling must be explicit for the parallelized parts.
Variables to fill in
Replace each [variable] in the prompt with your own details:
[FROM_MODEL] [TO_MODEL] [LANGUAGE] [CODE] [STAY_SYNC]
Example input
FROM=synchronous Python, TO=asyncio, CODE=script fetching 50 URLs sequentially with requests, CONSTRAINTS=keep function signatures where possible
How to use this prompt
Say which calls are independent — parallelization is the main win of async. List constraints on what must stay sync; not everything should convert.
Tips for the best results
- Audit for blocking calls in the converted code — they silently destroy async benefits.
- Choose fail-fast vs gather-all deliberately; the AI defaults need your confirmation.
- Load-test the converted code; async changes resource profiles significantly.
Frequently asked questions
Does it parallelize too?
It converts the I/O model and parallelizes independent calls, with the semantic differences (ordering, error propagation) explicitly listed.
Will async always be faster?
For I/O-bound work, yes. For CPU-bound work, no — and it adds complexity. The prompt helps you confirm your workload is actually I/O-bound first.