C++ mugadziri
Commercial usage OK
581 mamodheru
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+ GPT-5, Claude, Gemini
Describe a class or feature and get modern C++23 - RAII + smart pointers, ranges, std::expected typed errors, std::format. CMakeLists.txt snippet emitted alongside. Self-hosted Qwen 3 Coder is free under the daily pool; premium Claude Sonnet / GPT-5 are worth it for complex template puzzles.
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Kugadzira C ++ kodhi nemahara AI. Systems programming uye algorithms.
Maitiro ekuisa C++ mugadziri
1
Sarudza yako input
Tinya tebhu, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.
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Tinya kuumba
Our AI inogadzirisa yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.
3
Dhawunirodha & shandisa
Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yekushandisa personally uye commercially.
Usashandisa iyi chirongwa kuburikidza neAPI
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-d '{"model": "qwen-coder", "messages": [{"role": "user", "content": "Write a Python function that reverses a string."}]}'Kubatana Free AI Zvirongwa
C++ mugadziri - FAQ
Modern C++23 (ne C++17 / 20 fallbacks kuburikidza ne target picker) - RAII + smart pointers (no raw new/delete), constexpr apo zvinobvira, ranges + views, std::expected for typed errors, std::format for output. 8 style presets (Modern application / Header-only library / Embedded / CUDA / OpenGL graphics / Multi-threaded with std::jthread / Boost / Catch2 tests). CMakeLists.txt snippet emited alongside.
Yeah - a typical class with header + impl + tests costs ~2,000 tokens on Qwen 3 Coder, inside the 6,000 anonymous / 30,000 signed-up daily pool. C++ is verbose so deeper outputs cost more - premium Claude Sonnet / GPT-5 are worth it for complex template puzzles.
Copilot ($10 / $19 bhizinesi / $39 bhizinesi pamwedzi) anosvika mativi sezvaunyora. Cursor ($20 / mo) ndiro yakazara IDE fork neakanakisa whole-file context. Tabnine ($12 / mo Dev) ndezvekuchengeteka-kutanga. Our tool is web-based one-shot - describe a class, get header + impl + tests. C ++ ndiyo imwe yeakanyanya kuoma matauro ekushandisa chero LLM - premium models earn their keep here more than in Python.
C++23 sezvakajairika (yakachengeteka kwazvo). Dzvanya pasi nekushandisa chinangwa chinotora - C++20 (mapurojekiti, mamodules, marudzi), C++17 (zvinyorwa zvinoumbwa, zvinosarudzwa, zvitsva, STL), C++14 (zvinyorwa zvinodzokera-ku-zvinyorwa, generic lambdas), C++11 (kufambisa semantics, smart pointers - zvinodarika zvishoma zvekugadzira). Zvimwe zvinodiwa zvinoonekwa asi chimiro chinokupikisa.
Yes - that is rule 1 in the system prompt. Resources own themselves through unique_ ptr / shared_ ptr / file handles wrapped in custom RAII guards. Raw new and delete only appear when implementing custom containers, and even then with a clearly named cleanup. No leaks, no double- deletes.
Choose the CUDA preset. Output is.cu files with __global__ kernel functions, proper grid/block sizing, shared memory where it helps, async streams when overlap matters, error checking via cudaGetLastError. Includes the CMake hookup for enable_language(CUDA).
Choose the Multi-threaded with std::jthread preset. Output uses C++20 std::jthread (auto-joining), std::stop_token for cooperative cancellation, std::latch / std::barrier for sync points, std::atomic_ref for atomic operations on existing data. Coroutines (co_await, co_return) where target >= C++20 and they fit.
Choose the Header-only library preset. Everything is templated or inline, ODR-safe, no.cpp file required. Header guards or pragma once, namespace-scoped, no global state. Easy to drop into another project as a single.hpp.
Choose the Embedded preset. Output avoids exceptions and RTTI (typical embedded compiler flags), prefers std::span over containers, std::array over std::vector, no heap allocation in steady-state code, everything constexpr where possible. CMake snippet uses -fno-exceptions -fno-rtti.
Izvi ndezvimwe zvezvikonzero nei Qwen isiri kuwanikwa. Iyo yemahara Qwen tier nguva nenguva inogadzira bugprone-narrowing-conversion kana cppcoreguidelines-pro-bounds-pointer-arithmetic warning; premium models catch more preemptively.
Yeah - pick the Catch2 tests preset, or toggle Include tests on any style. Output uses Catch2 v3 with TEST_ CASE / SECTION / REQUIRE_ THATH + matchers. For doctest output, mention doctest in your description. CMake hookup includes the test target.
Yeah - POST to /v1/chat/ with the same system prompt. Useful for IDE plugins (CLion, VS Code with C++ ext), build-pipeline scaffolding, or auto-generating boilerplate around proto/IDL definitions. Bearer auth, rate-limited. Docs at /api/.
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