Circular (Ring) Buffer Implementation - C++, Python And JavaPublished 9/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz
Language: English |
Size: 126.99 MB |
Duration: 0h 34m
Master lock-free concurrency, cache-line optimization, and CI/CD automation by building a real C++ ring buffer.
Using prompt engineering to develop a multi-language and multi-operating solution for a capability.
Use Prompt engineering to develop C++, Python and Java implementation of a Circular Buffer.
Use Prompt engineering to develop a build and regression system on multiple operating systems.
Build a custom LLM model to allow software developers to use the solution.
RequirementsExperience in one of the following C++, Java or Python as a software developer.
DescriptionMaster lock-free concurrency, cache-line optimization, and CI/CD automation by building a real C++ ring buffer.Build a production-grade circular buffer in C++ from scratch - no frameworks, no runtime dependencies. This course takes you from core data structure design all the way to a fully automated, cross-platform CI/CD pipeline. Every line of code is explained in detail, and every design decision is justified with real-world performance implications.You'll start by understanding the producer-consumer problem and why lock-free ring buffers are the gold standard for high-throughput data pipelines. From there, you'll implement slot-based state machines that track each buffer cell through its full lifecycle, cache-line alignment techniques that eliminate false sharing between producer and consumer threads, and per-slot checksum verification to catch data corruption before it propagates downstream.Error handling is first-class in this design. You'll register a callback-based error handler contract that gives you full control over how the pipeline reacts to failures - log and continue, or initiate a graceful shutdown. This is the kind of resilience that separates hobby projects from production systems.Then you'll wire everything into a Make-based build system with multi-OS verification on Linux, macOS, and Windows. You'll automate regression testing with the run_regression workflow, generate aggregated build reports, and define a CI/CD contract that any agent or automation tool can consume.Along the way, you'll explore pure Java and Python implementations of the ring buffer pattern, demonstrating how the same architecture translates across languages while preserving the lock-free design and slot state machine logic. You'll also package the entire codebase as an LM Studio knowledge model, turning your project into an AI assistant that can explain its own architecture and answer developer questions.What you'll build:• A lock-free ring buffer with slot state machines and checksum verification• A read to transform to write pipeline that handles errors gracefully• A cross-platform Makefile build system verified on Linux, macOS, and Windows• CI/CD automation with verify_build and run_regression workflows• Java and Python implementations of the ring buffer pattern with the same lock-free design• An LM Studio knowledge package for AI-assisted developmentEach module includes narrated walkthroughs, live terminal demos showing the pipeline in action, and a complete regression test suite that proves correctness across platforms. By the end, you'll have a reusable C++ component that you can drop into any performance-critical project.Prerequisites: Intermediate C++ including templates, RAII, and the STL. No prior concurrency or build system experience is required. Everything is built incrementally with clear explanations at every step.
Software Developers interested in multi language, operating systems solutions and prompt engineering.
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