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
02:26 MIN
AI's growing impact on developer tools and roles
The Evolving Landscape of Application Development: Insights from Three Years of Research
25:56 MIN
AI-augmented DevOps requires a solid platform foundation
AI-Augmented DevOps with Platform Engineering
12:44 MIN
The shift towards agentic AI in software engineering
10 commandments for vibe coding
14:32 MIN
Using AI to optimize CI/CD pipelines
Navigating the AI Wave in DevOps
14:00 MIN
The impact of AI coding assistants on developer productivity
Fireside Chat with Sir Tim Berners-Lee
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
10:11 MIN
How AI agents can accelerate infrastructure deployment
Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents
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