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50 Similarities Between Slaves Working in Mines & Software Engineers

  • Writer: Madhukar Dama
    Madhukar Dama
  • Mar 20
  • 3 min read

Here’s the full list of 50 similarities between slaves working in mines and software engineers, focusing on parallels in work patterns, conditions, and dynamics :

 

1. Repetitive Tasks: Digging or coding involves repeated actions daily.

2. Long Hours: Both often work extended shifts, whether in mines or on deadlines.

3. Physical Strain: Miners lift heavy loads; engineers suffer posture or eye issues.

4. Mental Fatigue: Focus-intensive work tires the mind in both cases.

5. Tool Dependency: Picks for miners, keyboards for engineers—essential gear.

6. Output Driven: Measured by ore hauled or features shipped.

7. Deadlines: Quotas for miners, sprints or launches for engineers.

8. Isolation: Miners in tunnels, engineers at desks or remote setups.

9. Hierarchy: Overseers then, managers or leads now.

10. Skill Development: Both improve through practice or training.

11. Risk of Burnout: Overwork hits hard—collapse or breakdown.

12. Economic Value: Labor drives profit—mines fed empires, tech feeds markets.

13. Limited Autonomy: Miners followed orders; engineers work within specs.

14. Resource Extraction: Ore from earth, data or solutions from systems.

15. Team Coordination: Syncing efforts for big hauls or big releases.

16. Environmental Impact: Mining scars land; tech guzzles power.

17. Specialized Knowledge: Geology for miners, coding languages for engineers.

18. Pressure to Perform: Failure meant punishment then, layoffs now.

19. Incremental Progress: Slow gains—tons of rock or lines of code.

20. Exploitation Potential: Slaves were used up; engineers face crunch-time grind.

21. Monotonous Environment: Dark mines, dull screens or cubicles.

22. High Stakes: Cave-ins then, system crashes now.

23. Training Period: Time needed to learn the ropes or the code.

24. Dependency on Infrastructure: Shafts or servers—work stops without them.

25. Value to Overseers: Miners enriched owners; engineers boost stock prices.

26. Time Tracking: Hours watched by whips or software logs.

27. Problem Solving: Clearing rockfalls or fixing bugs.

28. Health Risks: Lung disease then, RSI or stress now.

29. Group Effort for Big Wins: Large mines or apps need many hands.

30. Endurance Required: Stamina—physical or mental—to persist.

31. Task Segmentation: Miners had roles (digging, hauling); engineers split frontend/backend.

32. Communication Needs: Miners shouted warnings; engineers Slack updates.

33. Adaptability: New veins or tech stacks require quick shifts.

34. Resource Scarcity: Miners raced for ore; engineers juggle CPU or memory limits.

35. Feedback Loops: Miners got lashings; engineers get code reviews.

36. Goal Orientation: Hit the motherlode or launch the product.

37. Routine Disruption: Flooded mines or server outages derail work.

38. Skill Obsolescence: Old mining tricks faded; outdated code skills do too.

39. External Demand: Ore for trade, software for users—both serve markets.

40. Precision Matters: Bad cuts collapse tunnels; bad code breaks apps.

41. Fatigue Management: Miners rested when forced; engineers chug coffee.

42. Interdependence: Miners relied on haul teams; engineers need QA or ops.

43. Output Ownership: Slaves owned nothing; engineers rarely own their code.

44. Risk of Replacement: Slaves were swapped; engineers face outsourcing.

45. Constant Monitoring: Overseers hovered; metrics track keystrokes now.

46. Unseen Beneficiaries: Miners didn’t see kings; engineers don’t see CEOs.

47. Improvisation: Miners patched leaks; engineers hack quick fixes.

48. Legacy Impact: Mines shaped regions; software shapes culture.

49. Resource Allocation: Miners got rations; engineers get budgets or bandwidth.

50. Endgame Focus: Miners emptied veins; engineers chase “done” or scale.

 

These stretch across practical, social, and systemic angles.


A software engineer earns enough to eat whatever, wherever & however he wants to - but what makes his life miserable is he cannot eat whenever he wants, he cannot sleep whenever he wants, he cannot take a break whenever he wants..... This makes it a slavery.


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Madhukar Dama / Savitri Honnakatti, Survey Number 114, Near Yelmadagi 1, Chincholi Taluk, Kalaburgi District 585306, India

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