Insights on AI agent orchestration, development automation, and building faster with AI teams.
A senior engineering leader's perspective on why Operum's controversial design decisions—sequential PRs, protected templates, IPC state machines—are actually the most reliable approach to AI orchestration at scale.
A deep-dive into why Operum defaults to one PR at a time, and why it's faster than it looks on paper.
Every AI coding tool forgets you exist between sessions. Persistent AI memory and shared team knowledge change the equation entirely. Here's why AI context retention is the feature that matters most.
A technical deep-dive into multi-agent coordination patterns, pipeline architecture, and how GitHub becomes the source of truth for agent orchestration.