Mastering C++26 Reflection: Building Compile-Time Maps and Mutable Variables
These articles are AI-generated summaries. Please check the original sources for full details.
Compile-Time Map and Compile-Time Mutable Variable with C++26 Reflection
Alexey Saldyrkine demonstrates a novel stateful metaprogramming approach using the C++26 reflection proposal P2996R13. This system leverages the define_aggregate function to store information in class template specializations during compilation.
Why This Matters
Traditional C++ metaprogramming is restricted by the inability to modify state or conditionally complete types once defined. By utilizing C++26 reflection primitives, developers can now implement mutable-like behavior and key-value storage directly in the compiler’s type system, bypassing the performance overhead and fragility of complex preprocessor hacks. This transition from stateless to stateful metaprogramming allows for more robust compile-time tools, such as automatic unique ID generation and type-safe metadata mapping, which were previously impossible or required significant boilerplate.
Key Insights
- The define_aggregate function (P2996R13) allows the compiler to complete an incomplete class type with data members programmatically.
- State is persisted by creating new template specializations of helper classes, which is verified using the is_complete_type trait.
- The substitute function (P2996R13 §4.4.16) enables programmatic creation of template reflections from matching arguments.
- Compile-time mutable variables (CMVs) utilize binary search over template indices to efficiently retrieve the latest stored state.
- Reflection-based maps allow using any reflectable entity (types, templates, or values) as keys within a single unified storage class.
Working Examples
A compile-time ticket counter using reflection to track state through template completion.
template <int N> struct Helper; struct TU_Ticket { static consteval int latest() { int k = 0; while (is_complete_type(substitute(^^Helper, {std::meta::reflect_constant(k)}))) ++k; return k; } static consteval void increment() { define_aggregate(substitute(^^Helper, {std::meta::reflect_constant(latest())}), {}); } };
Implementation of an immutable compile-time map that stores key-value pairs in class specializations.
template<meta::info storage, meta::info unique_key = ^^void> struct CT_map { template<meta::info key, meta::info value> static consteval void insert() { meta::info refl = substitute(storage,{reflect_constant(pair{unique_key,key})}); define_aggregate(refl,{data_member_spec(^^info_as_type<value>,{.name = 'value'})}); } };
Practical Applications
- Unique ID Generation: Systems can automatically assign distinct compile-time constants to program elements to prevent manual duplication errors. Pitfall: Attempting to reset a counter is impossible as C++ cannot ‘undefine’ a completed class specialization.
- Type Metadata Mapping: Engineers can map specific types to member functions or metadata reflections for advanced serialization. Pitfall: Multiple maps using the same storage template without unique keys will leak data between instances.
- Compile-Time Random Number Generation: Implementing stateful generators that provide a new seed on every call. Pitfall: Increasing the Hint parameter too high in CMV binary searches can significantly increase compilation times.
References:
- https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2025/p2996r13.html
- https://godbolt.org/z/on4xMe338
- https://godbolt.org/z/ac4zbjzx8
- https://godbolt.org/z/KhT155Psf
- https://godbolt.org/z/ovqE3xsaq
- https://github.com/Alexey-Saldyrkine/compile_time_tools
- https://github.com/Alexey-Saldyrkine/CT-map-and-mutable-variable-example-code
Continue reading
Next article
Building Advanced Technical Analysis and Backtesting Workflows with pandas-ta-classic
Related Content
Mastering Markdown: Transitioning from Plain Text to Structured Documentation
Jennifer Reath documents her technical transition from plain text to Markdown syntax through Scrimba's instructional framework.
Building Real-Time Simulations with State.js: Eliminating Frontend Framework Complexity
State.js enables the creation of autonomous simulation games in a single HTML file by treating the DOM as the primary state database.
Mastering Lean 4: A Guide to Provably Correct Software Engineering
Explore the 10 core concepts of Lean 4 to transition from making software work to making it provably correct through formal verification.