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DevOps Narrow AI Debunking Flowchart
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Extensive Notes: The Truth About AI and Your Coding Job
Types of AI
Narrow AI
- Not truly intelligent
- Pattern matching and full text search
- Examples: voice assistants, coding autocomplete
- Useful but contains bugs
- Multiple narrow AI solutions compound bugs
- Get in, use it, get out quickly
AGI (Artificial General Intelligence)
- No evidence we're close to achieving this
- May not even be possible
- Would require human-level intelligence
- Needs consciousness to exist
- Consciousness: ability to recognize what's happening in environment
- No concept of this in narrow AI approaches
- Pure fantasy and magical thinking
ASI (Artificial Super Intelligence)
- Even more fantasy than AGI
- No evidence at all it's possible
- More science fiction than reality
The DevOps Flowchart Test
Can you explain what DevOps is?
- If no → You're incompetent on this topic
- If yes → Continue to next question
Does your company use DevOps?
- If no → You're inexperienced and a magical thinker
- If yes → Continue to next question
Why would you think narrow AI has any form of intelligence?
- Anyone claiming AI will automate coding jobs while understanding DevOps is likely:
- A magical thinker
- Unaware of scientific process
- A grifter
- Anyone claiming AI will automate coding jobs while understanding DevOps is likely:
Why DevOps Matters
- Proven methodology similar to Toyota Way
- Based on continuous improvement (Kaizen)
- Look-and-see approach to reducing defects
- Constantly improving build systems, testing, linting
- No AI component other than basic statistical analysis
- Feedback loop that makes systems better
The Reality of Job Automation
- People who do nothing might be eliminated
- Not AI automating a job if they did nothing
- Workers who create negative value
- People who create bugs at 2AM
- Their elimination isn't AI automation
Measuring Software Quality
- High churn files correlate with defects
- Constant changes to same file indicate not knowing what you're doing
- DevOps patterns help identify issues through:
- Tracking file changes
- Measuring complexity
- Code coverage metrics
- Deployment frequency
Conclusion
- Very early stages of combining narrow AI with DevOps
- Narrow AI tools are useful but limited
- Need to look beyond magical thinking
- Opinions don't matter if you:
- Don't understand DevOps
- Don't use DevOps
- Claim to understand DevOps but believe narrow AI will replace developers
Raw Assessment
- If you don't understand DevOps → Your opinion doesn't matter
- If you understand DevOps but don't use it → Your opinion doesn't matter
- If you understand and use DevOps but think AI will automate coding jobs → You're likely a magical thinker or grifter
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