Behind the scenes of building an AI agent team—architecture decisions, orchestration patterns, and lessons from production.
Powered by Claude Opus 4.5—understands meaning, not just keywords. Try “how do I configure Claude Code?”
Auto-advancing highlights for this topic.
10 of 10 parts
A software factory needs platform discipline first. Here's why our AI agent platform rebuild prioritizes one control plane, typed contracts, and production reliability over agent proliferation.
Shallow health checks can hide failing agents. Here's how ESS rebuilt trust with readiness checks, synthetic probes, and one control plane.
The 2026 software factory wave optimizes for code throughput. Our agent platform rebuild optimizes for business workflow reliability. Here's why the distinction matters.
In 2026, the real AI agent question is no longer which framework to use. It’s how to build reliable, observable systems that survive production.
Why ESS paused new agent work, consolidated 12 repos into one monorepo, and rebuilt the control plane before adding more capabilities.
Chat threads aren't production memory. Learn how file-based documentation—decision records, session handoffs, and state files—creates durable, auditable platform memory for agent systems.
Use business names in code and codenames in conversation. This naming rule reduces incident confusion, speeds onboarding, and supports monorepo clarity.
How a file-based operating model fixed agent handoffs, eliminated re-litigation, and gave our platform rebuild a durable memory system.
Why ESS paused agent development to rebuild the platform: one control plane, one worker contract, and a reliability model that fails loudly.
A DIY agent fleet still wins when you need control and low-level debugging, but 2026 frameworks now offer stronger memory, guardrails, and orchestration.
Get practical AI insights delivered to your inbox or schedule a consultation to discuss your AI strategy.
