This repository is a structured collection of technical reading materials, research notes, and implementation references across multiple domains of software engineering, data systems, and computational design. It aims to provide concise, practical insights into technologies and concepts frequently encountered in modern development workflows.
- algorithm/ – Concepts and examples including L-systems and generative design patterns.
- aws/ – Practical notes on AWS services such as Athena, CloudWatch, DynamoDB, Lambda, and Step Functions, with a focus on cost optimization and operational efficiency.
- database/ – Documentation around databases, including Redis, RAG architecture, search indexing, and vector database implementations.
- design/ – Explorations of design concepts such as CUDA, DSLs, and embedded languages.
- econometrics/ – Notes on simulation design and distribution models.
- flarebyte/ – Internal workflows and programming glossaries.
- flutter/ – Guides and code patterns for Flutter, including Material 3 components, storage, and platform integration.
- github/ – Notes on GitHub topic organization and metadata.
- go/ – Language-specific documentation covering concurrency, file systems, standard libraries, and CLI design.
- hardware/ – Overviews of microcontrollers, Arduino (C++), and solar-powered systems.
- mindset/ – Jupyter notebooks and essays on data-oriented design, tool creation, and serverless architecture.
- python/ – Insights on Chroma, LlamaIndex, and UV for package and data management.
- standard/ – Notes on data encoding formats such as CBOR.
- tools/ – Documentation on code transformation and search utilities.
- typescript/ / ts/ – Articles on Zod validation and Tree-sitter parsing.
- zig/ – Basic notes on string manipulation and language experimentation.
- dart/ – Reference materials for Dart, including data structures, testing, and date/time utilities.
The materials in this repository serve as:
- Personal reference notes for developers.
- A foundation for internal documentation and developer onboarding.
- A structured reading base for learning and cross-domain exploration.
Each document is intended to be standalone, providing both conceptual clarity and implementation insights without requiring deep prior context.
Some of the documentation and summaries within this repository have been drafted or refined with AI assistance to improve clarity, formatting, and consistency across topics. All content has been curated and reviewed for technical accuracy and coherence.