Explores the technical implementation of subagents in the Goose AI agent framework, focusing on their architecture and how they manage context.
A technical guide on integrating two distinct AI agent systems (BMAD and PAI) using a layered architecture to combine their strengths.
A developer shares key engineering lessons learned from building AI agents in .NET, focusing on state management, orchestration, and observability.
Explains how to use arguments and conditional Jinja templating in Goose AI recipes to create dynamic, reusable AI workflows for generating themed content.
Explains the OWASP Top 10 security risks for autonomous AI agents, detailing threats like goal hijacking and tool misuse with real-world examples.
Explores how OAuth delegation and 'On Behalf Of' flows apply to AI agents, discussing authorization challenges in agentic systems.
Using AI to transform messy, unstructured vendor notes into clean JSON and a styled HTML website, highlighting the importance of examples.
A developer creates a reusable AI agent recipe using Goose to transform messy lost and found data into organized web applications.
Analysis of a realistic AI voice agent demo, highlighting key design principles for bridging the gap between demos and real-world systems.
Major tech companies launch the Agentic AI Foundation under the Linux Foundation to promote open, collaborative standards for AI agent development.
Analysis of AI agents' current limitations, showing they complete only 2-3% of real freelance tasks, highlighting the gap between automation hype and reality.
Developer shares custom Claude Code plugins 'Essentials' and 'Ideation' that use AI to clean code and structure ideas while preserving personal style and judgment.
A technical guide on building an AI agent server using the AG-UI protocol and Microsoft's Agent Framework for Python, with GitHub code.
A developer uses the Goose AI agent and Claude Sonnet 4.5 to build and deploy a themed winter festival website to Netlify, detailing the technical process.
Microsoft's AI strategy pivots from exclusive OpenAI partnership to a multi-model platform, focusing on governance, enterprise integration, and competing in the agent and edge AI markets.
A developer uses the Goose AI agent to build data visualizations for an AI coding challenge, documenting the process and troubleshooting tool issues.
Explores advanced Context Engineering techniques for AI agents, focusing on combating Context Rot and improving multi-agent coordination.
A developer builds a GitHub Action using the Goose AI agent to generate daily fortunes with ASCII art and commit them automatically.
A developer-friendly introduction to the Microsoft Agent Framework, an open-source SDK for building and orchestrating AI agents in C# and Python.
Explores 'context plumbing' for AI agents, the engineering needed to move relevant context from various sources to where AI systems run.
