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Programmers at Work: Contents & Overview

Programmers at Work is a collection of technical interviews with nineteen prominent software developers from the early personal computer era. The interviews, published by Microsoft Press in 1986, were designed to capture the personalities and driving forces behind the development of innovative algorithms, computer systems, application software, and video…

Language: English [EN]
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Programmers at Work topic overview

The analysis highlights Contents and Overview as prominent areas in the source structure around Programmers at Work.

Related topics
31
Source areas
2
Connected nodes
33
Extracted relationships
33
Concept neighborhoods
12
Bridge connections
33

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Contents · 20 topics
Overview · 11 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Author
Susan Lammers
Publication date
1986 (first edition) 1989 (Tempus Books reprint) 2026 (40th anniversary edition)
Publisher
Microsoft Press (1986 edition), 8080 Books/Simon & Schuster (2026 edition)
Language
English
Subject
Computer Programming

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Contents

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Programmers at Work connects Entity context

The extracted context around Programmers at Work shows recurring relationship patterns in the source. For example, Programmers at Work → Erik Sandberg-Diment, In, It, Paris Review, Programmers, Steven Levy, The New York Times, Wired, Work, Xerox PARC Another extracted example is Programmers at Work → Each, Hand-drawn, Lammers, One, Programmers, She, Work. Use these groups to spot repeated connection types before inspecting the individual relationships.

Programmers at Work

Top relations

related to Reception · 10
Programmers at Work → Erik Sandberg-Diment, In, It, Paris Review, Programmers, Steven Levy, The New York Times, Wired, Work, Xerox PARC
related to Introduction · 7
Programmers at Work → Each, Hand-drawn, Lammers, One, Programmers, She, Work
Author · 1
Programmers at Work → Susan Lammers
ISBN · 1
Programmers at Work → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…
Language · 1
Programmers at Work → English
Publication date · 1
Programmers at Work → 1986 (first edition) 1989 (Tempus Books reprint) 2026 (40th anniversary edition)
Publisher · 1
Programmers at Work → Microsoft Press (1986 edition), 8080 Books/Simon & Schuster (2026 edition)
Subject · 1
Programmers at Work → Computer Programming
is a · 1
Programmers at Work → collection of technical interviews with nineteen prominent software developers from the early personal computer era

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

interviews computer software programmers early lammers microsoft work book 1986 press 2026 edition also collection computing author features technical development

Programmers at Work relationships Subject–Predicate–Object triples

TTTA extracted 33 structured relationships around Programmers at Work. Examples in this analysis include Programmers at Work → Author → Susan Lammers and Programmers at Work → ISBN → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Programmers at WorkAuthorSusan Lammers1.00infobox
Programmers at WorkISBN.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…1.00infobox
Programmers at WorkLanguageEnglish1.00infobox
Programmers at WorkPublication date1986 (first edition) 1989 (Tempus Books reprint) 2026 (40th anniversary edition)1.00infobox
Programmers at WorkPublisherMicrosoft Press (1986 edition), 8080 Books/Simon & Schuster (2026 edition)1.00infobox
Programmers at WorkSubjectComputer Programming1.00infobox
Programmers at Workis acollection of technical interviews with nineteen prominent software developers from the early personal computer era0.90text
ethicsinstance ofwhile also exploring larger topics0.80text
the future of computinginstance ofwhile also exploring larger topics0.80text
ANDinstance ofA system of logic functions named after George Boole that uses operators0.80text
ORinstance ofA system of logic functions named after George Boole that uses operators0.80text
NOTinstance ofA system of logic functions named after George Boole that uses operators0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Programmers at Work bring nearby vocabulary together. In this analysis, examples include Programmers, Work and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Programmers at Work
    • Programmers
    • Work
    • Software
    • Collection
    • Computer
    • Edition
    • Interviews
    • Also
    • Lammers
    • Early
    • Design
    • Include
  • programmers at work
    • Programmers
    • Work
    • Software
    • Collection
    • Including
    • Computer
    • Edition
    • Interviews
    • Also
    • Early
    • Lammers
    • 40th
  • personal computer
    • Software
    • Microsoft
    • Early
    • Computer
    • Computing
    • Developers
    • Including
    • Personal
    • Programmers
    • Systems
    • Technical
    • Topics
  • computer systems
    • Software
    • Microsoft
    • Early
    • Topics
    • Video
    • Developers
    • Employee
    • Include
    • Personal
    • Programmers
    • Systems
    • Author
  • ibm personal computer
    • Software
    • Microsoft
    • Early
    • Computer
    • Computing
    • Developers
    • Including
    • Personal
    • Programmers
    • Systems
    • Technical
    • Topics
  • computer programming
    • Software
    • Microsoft
    • Early
    • Developers
    • Personal
    • Programmers
    • Systems
    • Topics
    • Video
    • Author
    • Computing
    • Design
  • microsoft press
    • Employee
    • Press
    • Systems
    • Video
    • Author
    • Lammers
    • Software
    • Features
    • 40th
    • Anniversary
    • Books
    • Published
  • microsoft
    • Employee
    • Press
    • Systems
    • Video
    • Author
    • Software
    • Features
    • Lammers
    • 40th
    • Anniversary
    • Books
    • Published

Connections between topic areas Semantic bridges

For Programmers at Work, one of the stronger structural bridges in this analysis connects Programmers at Work with Contents. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Programmers at WorkContents · splits 13 ⟂ 21
Programmers at WorkOverview · splits 22 ⟂ 12

Map overview Semantic statistics

Programmers at Work

Nodes34
Edges33
Triples33
Avg. degree1.94
Density0.058824
Components1

Source & methodology

TTTA analyzes the structure around Programmers at Work to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Contents & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Programmers at Work · EN edition · Analysis: TopicsToTalkAbout

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