Agents and AI in Enterprise - Dona Sarkar & Patrick Chanezon

Your role is evolving from coder to 'agent boss.' Learn how to manage teams of AI to solve your company's most impossible problems.

#1about 5 minutes

How AI agents are changing the role of developers

AI agents are transforming the developer's role from an individual contributor to an "agent boss" who manages a team of agents, while also creating a new customer category for developer relations.

#2about 2 minutes

Preserving your authentic voice in the age of AI

AI's tendency to generate average content threatens personal authenticity, making it crucial to use AI for research but write creative materials like conference proposals in your own voice.

#3about 3 minutes

Managing AI agent security with CLIs and sandboxing

The command line interface is a powerful tool for AI agents, but it requires careful security management through sandboxing and containerization to prevent unintended consequences.

#4about 4 minutes

Enterprise AI adoption and token-based pricing models

Enterprises prefer managed AI services with predictable token-based costs and security guardrails, which provides a controlled environment for development and deployment.

#5about 5 minutes

The future of AI is cost-efficient and local

The trend of "token maxing" is giving way to a focus on cost efficiency and environmental sustainability, driving innovation in smaller, open-source models that can run locally.

#6about 5 minutes

Redefining junior developer training for the AI era

As AI automates coding, new training models like preceptorship are needed to equip junior developers with essential skills in code review and agent management.

#7about 5 minutes

Using AI for strategic innovation in the enterprise

Enterprises can achieve true innovation by applying AI to solve previously impossible problems rather than simply retrofitting it into existing processes for marginal gains.

#8about 5 minutes

Measuring AI success by outcomes instead of activity

To accurately gauge AI's value, companies must focus on its impact on business outcomes and productivity rather than on superficial activity metrics like token consumption.