Production practice

Agentic Engineering

Context engineering, observability and production patterns for teams shipping agent systems.

7mapped notes2 live · 1 scheduled · 4 research
Content graph / 07 nodes

Research path

Start with the pillar, move into a focused cluster, then follow its supporting field notes. Every node in the Agentic Engineering architecture is exposed here.

Live
2
Scheduled
1
Research
4
Parent–child pathPPillarCClusterSSupporting note
  1. 01PillarAgentic Engineering: Build Systems, Not DemosLearn how to apply engineering discipline to agentic systems. Evidence artifact, failure checks, verification, and decision rule included.agentic engineeringLive390 US/mo · KD 50
    1. 01.01ClusterAgentic AI: Definition, Boundaries, and ExamplesLearn how to understand what makes a system agentic and what does not. Evidence artifact, failure checks, verification, and decision rule included.agentic aiLive90,500 US/mo · KD 90
      1. 01.01.01SupportingAgentic AI Examples With Real Control LoopsLearn how to inspect agentic systems by goal, tools, state, and feedback. Evidence artifact, failure checks, verification, and decision rule included.agentic ai examplesScheduled1,900 US/mo · KD 55
    2. 01.02ClusterContext Engineering for AgentsLearn how to design the context an agent receives across a task. Evidence artifact, failure checks, verification, and decision rule included.context engineering for agentsResearchIntent mapped
      1. 01.02.01SupportingContext Windows vs Working ContextLearn how to separate model capacity from the context an agent should receive. Evidence artifact, failure checks, verification, and decision rule included.context window vs context engineeringResearchIntent mapped
    3. 01.03ClusterProduction Agent ArchitectureLearn how to design state, queues, tools, and recovery for a production agent. Evidence artifact, failure checks, verification, and decision rule included.production agent architectureResearchIntent mapped
      1. 01.03.01SupportingAgent Observability: Traces That Explain FailureLearn how to trace agent decisions, tools, latency, cost, and recovery. Evidence artifact, failure checks, verification, and decision rule included.agent observabilityResearchIntent mapped