Building Your Own Agentic Apps | Made for Dev Show Ep. 4

This fourth and final episode of the Made for Dev Show special series featuring Docker brings everything together, as Sammy and Oleg Šelajev focus on the practical deployment and scaling of AI agents using Docker Agent (formerly Cagent) and the MCP Gateway.

Core Topics Covered

• Deploying AI Agents at Scale: Moving from local experimentation to production-ready deployments using Docker’s specialized tools for agent management [01:45].

• The "Agent-as-a-Service" Model: How to wrap your custom AI assistants (defined via YAML) into standardized Docker containers that can be deployed across any environment [08:12].

• Advanced MCP Gateway Configurations: A deep dive into using the MCP Gateway to bridge local agents with cloud-based tools, ensuring a consistent and secure communication layer [15:30].

• The Future of AI Development with Docker: A wrap-up of the series, looking at how the "Agent-as-Code" philosophy and secure sandboxing are redefining the modern developer workflow [24:10].

Key Highlights

• Standardized Distribution: Learn how to use Docker to share fully functional agents—including their prompts, models, and tools—with your entire team [10:20].

• Production Guardrails: Implementing the security lessons from previous episodes (Sandboxes and Hardened Images) in a real-world deployment scenario [19:45].

• Series Conclusion: Final thoughts from Sammy and Oleg on building the next generation of AI-native applications [28:15].

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