Project "Caffeine-Flow" ☕🚀
1. Executive Summary & Objective
Modern software engineers run on caffeine, but our codebases rarely reflect this vital dependency. Project "Caffeine-Flow" is a dedicated hands-on practice framework designed to master modern C++ asynchronous programming.
The primary objective is to gain deep, practical proficiency by Using Coroutine and Generator along with Ranges and Monadic Error Handling, building a high-performance, asynchronous beverage supply pipeline. This ensures that developer learning curves are conquered while keeping caffeine levels at an absolute maximum.
2. Technical Stack & Practice Scope
To achieve maximum over-engineering and master modern C++ features, the practice implementation must leverage:
- Language Standard: C++23 (utilizing modern standard generators and monadic error handling).
- Core Practice Modules:
- C++20 Coroutines (
co_await, co_yield) for non-blocking hardware control and state transitions.
- C++23
std::generator for lazy evaluation and streaming large data sets on demand.
- C++20
std::ranges for declarative filtering and pipeline transformations.
- C++23
std::expected for safe, exception-free monadic error propagation.
- C++20 Concepts for robust compile-time type constraints on custom awaitables.
3. Functional Requirements & Architecture
3.1. Asynchronous Task Control (co_await)
- Implement custom awaitables to simulate non-blocking water boiling and hardware latency without locking the main execution thread.
- Practice precise control over
coroutine_handle and suspension points.
3.2. Lazy Infinite Data Stream (std::generator)
- Construct an infinite, memory-efficient data stream using C++23
std::generator to yield cups of coffee dynamically only when requested.
3.3. Stream Filtering and Transformation (std::ranges)
- Apply
std::views to filter out sub-par or unwanted beverage parameters declaratively from the generator stream.
3.4. Reactive Error Management (std::expected)
- Practice modern error handling by returning
std::expected through coroutine boundaries, gracefully handling catastrophic hazards like "Grinder on Fire" without try-catch performance penalties.
4. Acceptance Criteria
Project "Caffeine-Flow" ☕🚀
1. Executive Summary & Objective
Modern software engineers run on caffeine, but our codebases rarely reflect this vital dependency. Project "Caffeine-Flow" is a dedicated hands-on practice framework designed to master modern C++ asynchronous programming.
The primary objective is to gain deep, practical proficiency by Using Coroutine and Generator along with Ranges and Monadic Error Handling, building a high-performance, asynchronous beverage supply pipeline. This ensures that developer learning curves are conquered while keeping caffeine levels at an absolute maximum.
2. Technical Stack & Practice Scope
To achieve maximum over-engineering and master modern C++ features, the practice implementation must leverage:
co_await,co_yield) for non-blocking hardware control and state transitions.std::generatorfor lazy evaluation and streaming large data sets on demand.std::rangesfor declarative filtering and pipeline transformations.std::expectedfor safe, exception-free monadic error propagation.3. Functional Requirements & Architecture
3.1. Asynchronous Task Control (
co_await)coroutine_handleand suspension points.3.2. Lazy Infinite Data Stream (
std::generator)std::generatorto yield cups of coffee dynamically only when requested.3.3. Stream Filtering and Transformation (
std::ranges)std::viewsto filter out sub-par or unwanted beverage parameters declaratively from the generator stream.3.4. Reactive Error Management (
std::expected)std::expectedthrough coroutine boundaries, gracefully handling catastrophic hazards like "Grinder on Fire" withouttry-catchperformance penalties.4. Acceptance Criteria
coroutine_handle,promise_type, and consumer loops.--enable-more-espressopractice flag.