ORCHESTRATION
30 days · UTC
Synchronizing with global intelligence nodes...
Keep long-running agents honest: harness + memory pattern
Two solid guides show how to keep long-running AI agents on track: wrap them in a harness and give them real memory. The harness piece explains why a...
Coding agents in production: architecture choices, reliability budgets, and hitting the brakes
A wave of practitioner write-ups agrees: shipping coding agents is about reliability budgets and the right architecture, not flashy demos. At the AAA...
From Workflows to Agents: A Practical Blueprint for LLM Tool-Use Loops
The article clarifies the real difference between LLM-powered workflows and true AI agents and outlines a concrete agent architecture pattern. In [Th...
From coder to fleet commander: scaling coding agents in 2026
Nate argues the bottleneck has shifted from model capability to team cognitive architecture and offers six practices plus a 2026 builder’s handbook fo...
Agentic assistants scale better with explicit graphs/state machines
A graph-based (state-machine/DAG) design makes agentic assistants more reliable and operable by modeling tools and control flow as nodes and edges wit...