Topic map

Navigate by system boundary.

These hubs organize questions by the part of the production system that must change—not by whichever tool is currently popular.

01

SRE and root cause analysis

Evidence-aware incident investigation across traces, logs, metrics, topology, and operational change.

02

AI cost engineering

Outcome units, request ledgers, model routing, caching, capacity, and the cost of failed attempts.

03

Context, memory, and state

Production context assembly, memory governance, durable workflow state, provenance, and side-effect safety.

04

Engineering judgment

Problem framing, constraints, failure design, verification, and deliberate learning with AI-assisted development.

05

Agent evaluation

Task portfolios, trace grading, simulation, red teaming, stochastic reliability, and production quality gates.

06

SEO and GEO

Accurate discovery, retrieval, understanding, evidence absorption, citation, and measurement across search and answer engines.

07

Agent observability

Tracing model calls, retrieval, tools, memory, delegation, state transitions, evaluations, and human review.

08

Agent security

Prompt injection containment, tool permissions, identity, sandboxing, memory poisoning, and audit trails.

09

Forward deployed engineering

Turning urgent field problems into production outcomes, reusable learning, and scalable product capability.

10

Ontology and operational semantics

Identity, relationships, state, provenance, and lifecycle semantics across CMDB, telemetry, and operational systems.