Microsoft Tutorial Demonstrates Synchronous Future Creation
Microsoft developer Raymond Chen explains how to return an immediate value via a standard future interface.
Updated on Oct. 27, 2026 in Quantum Computing

Microsoft developer Raymond Chen has published a tutorial detailing a method for creating a completed C++ std::future. This technique allows developers to meet API contracts that require a future even when the result is already available.
Why it matters
The method provides a standardized way to handle API requirements without initiating unnecessary background concurrency. This simplifies code paths where a result is ready on the calling thread.
The approach utilizes a std::promise to return a value synchronously on the calling thread. A templated helper wraps the logic to ensure the result correctly integrates with standard future interfaces.
The players
Raymond Chen
Raymond Chen is a software developer at Microsoft who writes extensively on Windows programming and C++ development.
Microsoft
Microsoft is a global technology corporation that develops software, hardware, and cloud computing services.
The details
By executing a callable synchronously and placing the value into a std::promise, developers can bypass the overhead associated with standard asynchronous task management. This process strictly adheres to existing C++ std::async semantics while fulfilling specific API needs.
Timeline
October 27, 2026: Tutorial published by Raymond Chen.
The Tech Race
This development refines the utilization of C++ std::future by enabling synchronous workflows where concurrency was historically expected. It represents a shift toward more efficient resource management in systems that must balance API constraints with performance needs.
Software developers can implement this technique to streamline codebases that rely on standard future interfaces. It reduces complexity in application workflows that frequently handle results immediately available on the calling thread.
The takeaway
Developers should evaluate whether their API contracts genuinely require asynchronous overhead before implementing background tasks. Synchronous handling of available results can significantly improve code clarity and system efficiency.
Further reading
For more on evolving standards in computational code, visit the Quantum Computing section.
Source note: This article includes information reported by Visual Studio Magazine.










