Liangxu, a self‑taught IT professional now working as a Linux development engineer at a Fortune 500 multinational, shares extensive Linux knowledge—fundamentals, applications, tools, plus Git, databases, Raspberry Pi, etc. (Reply “Linux” to receive essential resources.)
The article explains that although there is a large demand for embedded engineers, entry‑level salaries remain low because companies need to train newcomers for years, while only engineers with deep hardware and software expertise can command high pay after gaining experience.
The article examines whether C++ can be used in resource‑constrained embedded environments, explains that a lightweight "C with classes" approach works, warns against heavy features like STL and exceptions, and provides concrete examples and best‑practice recommendations for safe adoption.
OpenAI’s new cloud‑based Codex AI assistant builds on the same Transformer architecture as GitHub Copilot, offering multi‑language support and faster responses, but real‑world testing shows only about 80% of its output is usable, with the remaining 20% containing bugs or mismatches—especially in embedded development—leading the author to argue that Codex is a helpful code‑completion tool rather than a revolutionary replacement for skilled engineers.
The article explains that long product lifecycles, entrenched toolchains, hiring costs, and mature ecosystems have turned programming language choice into an ecosystem problem, leaving only a few dominant languages and limiting the emergence of truly new languages.
The article dissects the fictional Digimon character Kōshi’s extraordinary feats—firmware reverse‑engineering, real‑time voice networking, and system‑level analysis—contrasting them with real‑world hardware limits and knowledge breadth to illustrate both the mythic tech hero image and its inspirational impact.
Genshin Impact combines Unity's C# scripting, C++ engine cores, Go/Java server back‑ends, Python tooling, and even hand‑written assembly to balance performance and development speed across its massive AAA open‑world game.
The article explains how functional programming’s emphasis on immutability and composability can dramatically reduce bugs, simplify testing, and improve maintainability, illustrated by a real‑world automotive sensor module that saw a 30% code‑size cut, an 80% bug drop, and test coverage rise from 40% to 90%.
The author, an experienced embedded engineer, recommends C, Python, Shell, and Go as the top four languages for most scenarios, explaining each language's strengths, typical use cases, and trade‑offs while noting when other languages like Java or Rust might be appropriate.
The article explains that system calls are triggered by CPU‑provided privileged instructions (e.g., int 0x80, syscall, svc), with compilers translating high‑level calls into these instructions, and why user‑mode programs cannot access hardware directly for security reasons.
The article argues that Chinese developers can build a language, but achieving popularity requires a strong ecosystem, community contributions, killer applications, and open‑source practices—factors that current domestic projects often lack.
