Insights on Developer Relations, AI protocols, and building developer communities.
How an Austrian developer's lobster-themed AI agent went from hobby project to global phenomenon in weeks, and what it means for the future of open-source AI agents.
A Reddit-style platform exclusively for AI bots raised questions about agent autonomy, prompt injection at scale, and what happens when machines form communities.
Named after Ralph Wiggum, this deliberately simple technique of running coding agents in a loop against specs is reshaping how software gets built.
With 2.5M monthly developers, 75+ model providers, and zero hype, OpenCode became the quiet workhorse of terminal-based AI-assisted development.
How Claude Code's ecosystem of hooks, skills, MCP servers, and persistent memory turns a terminal agent into a complete development workflow.
A practical comparison of every major AI coding agent — model access, ecosystem depth, privacy, and which workflow fits your team.
The three layers powering modern AI agents — tool access (MCP), agent collaboration (A2A), and knowledge management (Agent Skills). Plus the emerging protocol universe.
The definitive comparison of MCP and A2A — covering MCP Apps, Streamable HTTP, Google ADK integration, and how these protocols work together.
DevRel professionals connect companies and developers by giving technical guidance, support, and resources. Learn why DevRel has become essential.
