01
Origins
From notation to programmability
Punched cards, mechanical calculation, formal logic, early algorithms and the universal-machine idea.
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A–ZArchive / Browse by layer
Coding History Archive:
People, Languages, Systems & Ideas.
A curated map of the people, machines, languages, interfaces and ideas that made software possible—and the AI-native systems changing what coding means now.
02
Languages
How humans learned to talk to machines
Compilers, FORTRAN, COBOL, Lisp, BASIC, C, Python, JavaScript and the abstractions between intent and execution.
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03
Systems
The layers beneath the application
Operating systems, databases, compilers, networks, version control and infrastructure.
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04
Interfaces
Where coding meets the human body
Terminals, mice, graphical environments, browsers, notebooks, voice and natural language.
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05
Open Source
Software as shared inheritance
GNU, Linux, Git and the social architecture of collective maintenance.
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AI Native
From autocomplete to delegated execution
Code models, vibe coding, AI agents, evaluators, orchestration and multi-agent systems.
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How to read the archive
A graph, not a shelf.
Each person, organization, methodology, milestone and essay links sideways to the nodes that explain it. Those relationships are editorially curated so the archive can distinguish evidence, influence, naming, institutional context and chronology.