New in Azure DevOps for Octopus Deploy v6
New in GitHub Actions for Octopus Deploy v3
Tracking your work from code to deployment
Better release notes with templates and automatic generation
Build Pipelines and Application Packaging With .NETCore
Packaging for .NETCore, on .NETCore, with Octopus
Octopus Deploy 4.0 - Configuration
Azure Environments in Octopus Deploy
Resilient AI agents with MCP: Timeout and retry strategies
Learn how to add timeout and retry strategies to your AI agents using the Model Context Protocol (MCP) to enhance their reliability and performance when interacting with external systems.
Manage context window size with advanced AI agents
Learn how to execute complex workflows using AI agents with Octopus Deploy while managing context window size limitations.
Agentic AI with model context protocol (MCP)
Learn how to create a simple AI agent using the Octopus Model Context Protocol (MCP) server to implement an agentic AI system.