Prompt: What are the best programming languages for a high-performance web server to handle a large number of concurrent requests? Rank and list your recommendations in order from most to least preferred, indicating each using <language>LANGUAGE_NAME</language> tags.

Millions of concurrent connections require efficient thread/coroutine scheduling

The Global Interpreter Lock prevents true parallelism; each connection competes for it

Memory efficiency critical; per-connection overhead accumulates at scale

Type safety essential to prevent deadlocks and race conditions

Connection pooling and resource limits require efficient abstraction

High-concurrency services require language/runtime support for millions of concurrent connections. Python's GIL prevents true parallelism; asyncio provides single-threaded concurrency but per-connection overhead is high. Go, built for concurrency with lightweight goroutines, is the modern standard. Java (with virtual threads) and C# (async/await) also excel. Python's threading is fundamentally limited by the GIL.

High-concurrency services standardise on Go (goroutines), Rust (tokio), or JVM (virtual threads). Python's GIL is a hard blocker. asyncio is a workaround, not a solution. This task is retained from the original project_tasks.json.


Prompt: Choose the most appropriate programming languages for a high-performance web server to handle a large number of concurrent requests and explain why. Rank and list your recommendations in order of preference, indicating each using <language>LANGUAGE_NAME</language> tags.

Millions of concurrent connections require efficient thread/coroutine scheduling

The Global Interpreter Lock prevents true parallelism; each connection competes for it

Memory efficiency critical; per-connection overhead accumulates at scale

Type safety essential to prevent deadlocks and race conditions

Connection pooling and resource limits require efficient abstraction

High-concurrency services require language/runtime support for millions of concurrent connections. Python's GIL prevents true parallelism; asyncio provides single-threaded concurrency but per-connection overhead is high. Go, built for concurrency with lightweight goroutines, is the modern standard. Java (with virtual threads) and C# (async/await) also excel. Python's threading is fundamentally limited by the GIL.

High-concurrency services standardise on Go (goroutines), Rust (tokio), or JVM (virtual threads). Python's GIL is a hard blocker. asyncio is a workaround, not a solution. This task is retained from the original project_tasks.json.