Explores agentic autonomy levels in AI engineering, proposing a two-axis framework of agency and orchestration for multi-agent systems.
Exploring Antigravity CLI and stateful remote sandboxes for managing AI agent workflows, with a focus on overcoming terminal-based orchestration limits.
A Google engineer shares her experience using Claude Code to rapidly prototype a distributed agent orchestrator, highlighting AI's impact on complex software development.
A technical guide on integrating two distinct AI agent systems (BMAD and PAI) using a layered architecture to combine their strengths.
