AI Killed DevOps... What Now? - Lee Faus

What if AI isn't just augmenting DevOps, but killing it? Discover why your role must shift from creating code to interrogating what the AI generates.

#1about 4 minutes

Defining the core pillars of DevOps and how AI disrupts them

DevOps is defined by collaboration, agility, and automation, but AI agents are fundamentally changing these human-centric processes.

#2about 4 minutes

The risks of non-deterministic AI-generated code

AI-generated applications can be non-deterministic and lack maintainability, similar to early RAD tools like Visual Basic.

#3about 4 minutes

Using AI to discover architectural anti-patterns

Senior engineers can leverage AI to find corner cases and rainy-day scenarios by prompting it to argue for and against its own suggestions.

#4about 6 minutes

The emergence of the invisible software development lifecycle

AI agents running locally can invert the traditional agile process by performing tasks like security scans and even resolving backlog tickets automatically.

#5about 8 minutes

How AI shifts pricing models and developer roles

The rise of agents is pushing companies toward consumption-based pricing and transforming developers from code creators into code reviewers.

#6about 5 minutes

Transforming developers into augmented knowledge workers

AI can augment developer skills by handling repetitive tasks, allowing them to function as knowledge workers who focus on higher-level problem-solving.

#7about 7 minutes

Exposing AI's confirmation bias with a coding example

A simple Fibonacci sequence demonstrates how AI's additive nature can produce overly complex or verbose code, increasing token costs without improving quality.

#8about 11 minutes

The hidden costs and outdated knowledge in LLMs

AI tools introduce subscription costs that create barriers to entry and rely on potentially outdated or untraceable knowledge without proper provenance.

#9about 5 minutes