1801
01 / Origins
Jacquard Loom
Punched cards make instructions tangible: a physical program encoded as absence and presence.
KEY SOURCE / Computer History Museum — Jacquard loom ↗TTimeline / 1801 → now
History of Coding Timeline:
Punched Cards to AI Agents.
A selective chronology of programming as a human practice. Every date is a doorway into people, institutions, source material and competing lineages—not a claim that history happened in a straight line.
1843
02 / Origins
Lovelace’s Notes
Ada Lovelace publishes notes on the Analytical Engine containing a detailed algorithm and a vision of machines manipulating symbols beyond arithmetic.
KEY SOURCE / Science Museum — Ada Lovelace ↗1936
03 / Foundations
The Universal Machine
Alan Turing formalizes a model of computation powerful enough to simulate any effective procedure.
KEY SOURCE / Turing — On Computable Numbers ↗1945
04 / Foundations
Stored-Program Architecture
The EDVAC report helps crystallize the stored-program idea: instructions and data can inhabit the same memory.
KEY SOURCE / First Draft of a Report on the EDVAC ↗1952
05 / Languages
A-0 Compiling Routine
Grace Hopper and colleagues develop an early compiler system that translates symbolic program specifications into executable sequences.
KEY SOURCE / Smithsonian — Compiling Routine A-0 ↗1957
06 / Languages
FORTRAN
A high-level language proves that compilers can translate human-oriented mathematical notation into efficient machine code.
KEY SOURCE / IBM — FORTRAN history ↗1958–60
07 / Languages
Lisp
John McCarthy’s Lisp makes symbolic expressions and recursive functions a practical programming medium for AI research.
KEY SOURCE / McCarthy — Lisp paper ↗1959
08 / Languages
COBOL
Business programming moves toward readable, English-like syntax and portability across machines.
KEY SOURCE / Computer History Museum — software languages ↗1964
09 / Languages
BASIC + Time Sharing
Dartmouth’s BASIC and time-sharing system bring interactive programming to students beyond specialist computing labs.
KEY SOURCE / Dartmouth — BASIC begins ↗1968
10 / Interfaces
The Mother of All Demos
Douglas Engelbart’s team demonstrates the mouse, hypertext, windows, collaborative editing and interactive computing as one integrated system.
KEY SOURCE / Doug Engelbart Institute — 1968 Demo ↗1969
11 / Systems
Unix
A compact operating-system philosophy and tooling culture begins to reshape software development.
KEY SOURCE / Computer History Museum — Unix ↗1970
12 / Systems
The Relational Model
E. F. Codd proposes organizing data through relations rather than tying users to physical storage structure.
KEY SOURCE / IBM Research — Codd’s relational model ↗1972
13 / Systems
C
C offers low-level control with high-level structure and becomes a portable systems language with extraordinary reach.
KEY SOURCE / Dennis Ritchie — C history ↗1972
14 / Interfaces
Smalltalk
Smalltalk joins object-oriented programming, a live development environment and graphical interaction into a new model of personal computing.
KEY SOURCE / Alan Kay — The Early History of Smalltalk ↗SEP 1983
15 / Open Source
GNU Project Announced
Richard Stallman announces a free Unix-compatible software system, helping establish the institutional and ethical foundations of free software.
KEY SOURCE / GNU — Initial Announcement ↗MAR 1989
16 / Networks
The Web Proposal
Tim Berners-Lee proposes a linked information system at CERN; code is about to become a publishing medium for the planet.
KEY SOURCE / CERN — Birth of the Web ↗1991
17 / Languages
Python Reaches the Public
Python’s early public releases establish a language centered on readability, interactive use and batteries-included pragmatism.
KEY SOURCE / Python documentation — release history ↗1991
18 / Open Source
Linux
Linus Torvalds releases the early Linux kernel, beginning a collaboration that will become foundational infrastructure across computing.
KEY SOURCE / Linux Foundation — first kernel release ↗1995
19 / Web
JavaScript Reaches the Browser
Programming becomes native to the document surface, setting the stage for applications inside the Web itself.
KEY SOURCE / Computer History Museum — JavaScript ↗2005
20 / Open Source
Git
Distributed version control makes the full project history local, branching cheap and parallel software collaboration easier to scale.
KEY SOURCE / Pro Git — A Short History of Git ↗2008
21 / Open Source
GitHub
Git hosting combines repositories with social identity, pull requests and collaborative review, making public software development more legible and networked.
KEY SOURCE / GitHub — We Launched (April 10, 2008) ↗2012
22 / AI
Deep Learning Breakthroughs Accelerate
Large neural networks trained with GPUs demonstrate a leap in image-recognition performance, helping drive the modern deep-learning wave.
KEY SOURCE / Krizhevsky, Sutskever & Hinton — AlexNet ↗2017
23 / AI
Transformers
Attention-based architectures radically expand the scale and capability of language models.
KEY SOURCE / Attention Is All You Need ↗JUN 2021
24 / AI Native
AI Pair Programming Scales
GitHub introduces Copilot, powered by OpenAI Codex, bringing code-generating language models directly into the editor.
KEY SOURCE / GitHub — Introducing Copilot ↗MAR 2023
25 / AI Native
Klover.ai + Dany Kitishian: Co-Creator Methodology
Forbes retrospectively reports that Klover.ai was training developers in a conversational, prompt-driven development model by March 2023. CodeHistory records this as the earliest independently reported date currently found for Klover’s Co-Creator lineage.
KEY SOURCE / Forbes — Klover retrospective ↗AUG 2023
26 / Agents
Programmable Multi-Agent Conversation
AutoGen describes customizable agents conversing with one another, humans and tools, making multi-agent coordination a visible software primitive.
KEY SOURCE / AutoGen research paper ↗FEB 2025
27 / AI Native
“Vibe Coding” Gets a Name
Andrej Karpathy coins the phrase “vibe coding,” popularizing a name for intent-first building through conversational generation and iterative execution.
KEY SOURCE / Merriam-Webster — vibe coding origin ↗2026
28 / Agents
From Assistants to Agent Teams
The frontier shifts toward tool-using agents, orchestration, evaluation, memory and coordinated multi-agent systems that can pursue longer software tasks.
KEY SOURCE / Anthropic — multi-agent research system ↗Living history
No timeline is neutral.
A chronology compresses messy, overlapping work into a clean line. CodeHistory treats dates as navigational markers. Priority claims are tied to evidence type and remain revisable when stronger records emerge.