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Search: software-engineering
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Showing 10 results from 1,659
nas5w/interview-guide
GitHub AstroAn opinionated, actionable guide for software engineering interviews.
External source
GitHub
JonathanSalwan/Triton
GitHub C++ Apache License 2.0Triton is a dynamic binary analysis library. Build your own program analysis tools, automate your reverse engineering, perform software verification or just emulate code.
External source
GitHub
armankhondker/best-leetcode-resources
GitHub MIT LicenseLearn LeetCode and prepare for coding interviews with free resources.
External source
GitHub
mgsalem/Tensorflow-Project-Template
GitHub Python Apache License 2.0A best practice for tensorflow project template architecture.
External source
GitHub
evolutionary-architecture/evolutionary-architecture-by-example
GitHub C# MIT LicenseNavigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and various architectural patterns. Go beyond the one-size-fits-all solutions and understand how to blend thes... Read more
External source
GitHub
zhashkevych/awesome-backend
GitHub🚀 A curated and opinionated list of resources (English & Russian) for Backend developers | Структурированный список ресурсов для изучения Backend разработки
External source
GitHub
codefuse-ai/Awesome-Code-LLM
GitHub[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
External source
GitHub
shubhamgrg04/awesome-diagramming
GitHubA curated collection of diagramming tools used by leading software engineering teams
External source
GitHub
cuizhenjie/software-engineering-document
GitHub MIT License软件工程常用文档模板及示例:可行性分析报告、开发计划、需求分析文档、概要设计文档、详细设计文档、用户操作手册、测试计划、测试分析报告、开发进度报告、项目开发总结报告、软件维护手册等
External source
GitHub
neomjs/neo
GitHub JavaScript MIT LicenseNeo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
External source
GitHub
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