Jan Oberhauser, Mirko Novakovic, Alex Laubscher, Keno Dreßel
The AI-Ready Stack: Rethinking the Engineering Org of the Future
#1about 1 minute
AI's growing role in the software development lifecycle
AI is now used by 85% of engineering organizations, introducing new tools, processes, and concerns around data privacy and code quality.
#2about 1 minute
How AI is changing observability and developer tools
AI is shifting the user experience for observability from dedicated dashboards to integrated prompts within coding tools like Cursor.
#3about 2 minutes
Empowering non-technical teams with automation
Low-code and AI automation tools shift engineering's role from building solutions for business teams to enabling them to build their own.
#4about 2 minutes
The shift from coding to critical thinking
With AI agents writing up to 95% of new code, the role of the engineer is evolving to focus more on creativity and critical thinking.
#5about 4 minutes
Measuring productivity and managing review fatigue
High volumes of AI-generated code challenge traditional productivity metrics like lines of code and create a new problem of "review fatigue" for human engineers.
#6about 2 minutes
Applying AI beyond code generation in the SDLC
AI's potential extends beyond code generation to areas like automated code review and rapid UI prototyping with tools like Vercel V0.
#7about 3 minutes
Fostering AI tool adoption and experimentation
Companies are encouraging widespread AI tool adoption by providing budgets, enabling non-technical teams, and creating internal knowledge-sharing channels.
#8about 3 minutes
Navigating hiring challenges in the age of AI
AI tools have complicated hiring by enabling perfect resumes and cheating on take-home tests, forcing a shift to live coding and assessing soft skills.
#9about 2 minutes
Maintaining code quality with AI-generated code
Ensuring quality for AI-generated code relies on established practices like observability, human-in-the-loop reviews, and robust CI/CD pipelines.
#10about 4 minutes
Managing data privacy and intellectual property with AI tools
To manage IP risks, companies use local processing and zero-data-retention agreements, recognizing that speed to market is becoming the new competitive moat.
#11about 3 minutes
Lightning round on future skills and AI trends
Panelists share their favorite AI tools, tasks they want automated, and the most important future skills for engineers, such as communication and critical thinking.
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