Mike
Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure
#1about 4 minutes
Understanding exponential growth and technology hype cycles
Humans struggle to grasp exponential technological progress, leading to phenomena like "retromania" and hype cycles around innovations like AI.
#2about 4 minutes
Learning from past technological revolutions
AI represents an inflection point similar to the industrial and digital revolutions, which disrupted businesses like Kodak and Nokia that failed to adapt.
#3about 3 minutes
The rapid evolution and impact of AI on software engineering
AI has evolved through several phases, with recent agentic AI having a surprisingly fast and significant impact on the software engineering industry first.
#4about 2 minutes
Applying AI across the software development lifecycle
AI can be leveraged at every stage of the software lifecycle, from refining requirements and writing documentation to coding, managing pipelines, and customer service.
#5about 3 minutes
Using AI for operations and incident management
AI tools can diagnose production issues, suggest command-line fixes, and automate incident management tasks like engineer assignment and root cause analysis.
#6about 4 minutes
How AI agents automate development with GitHub Copilot
AI agents can autonomously handle development tasks by taking a natural language issue, creating code, and submitting a pull request, with the entire process visible in GitHub Actions.
#7about 1 minute
Creating self-healing systems with Azure Monitor and AI agents
By integrating Azure Monitor as a context source, AI agents can react to production alerts, analyze logs, and automatically propose infrastructure-as-code fixes.
#8about 5 minutes
The cultural shift to a process-focused growth mindset
Adopting AI agents requires a cultural shift from a rigid product focus to a flexible process focus, embracing experimentation and a growth mindset to avoid being blocked by fear.
#9about 2 minutes
Embracing the future role of the software engineer
The role of an engineer is shifting from writing and reading code to managing complex systems and interacting with AI, making creative problem-solving more valuable than ever.
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Matching moments
12:44 MIN
The shift towards agentic AI in software engineering
10 commandments for vibe coding
27:10 MIN
Implementing generative AI in development teams effectively
Exploring LLMs across clouds
04:13 MIN
The impact of GenAI on team collaboration and culture
The Future of Developer Experience with GenAI: Driving Engineering Excellence
02:10 MIN
Understanding the shift to the agentic era
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
26:42 MIN
Exploring popular AI tool integrations for developers
ChatGPT: Create a Presentation!
30:10 MIN
The future of AI in DevOps and MLOps
Navigating the AI Wave in DevOps
04:10 MIN
How GitHub Copilot and Overflow AI complement each other
Collaborative Intelligence: The Human & AI Partnership
12:10 MIN
Why AI is a copilot, not an autopilot for developers
Coffee With Developers - Kyle Daigle, COO of GitHub
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Artificial Intelligence (AI), Agents & Copilot Architect
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Cloud & AI Solution Engineer - Azure Platform
Microsoft
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Linux
VMware
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Red Hat Enterprise Linux - RHEL


