DevOps and platform engineering overlap, but they do not solve the same bottleneck. Use DevOps to clarify ownership and feedback loops. Use platform engineering to reduce cognitive load through self-service. The hard part is diagnosing which problem you actually have.
Human review should be a control, not a default layer. Use a simple taxonomy to decide which AI workflow steps stay automated, which escalate, and which should stop until a human with real authority takes over.
Agent workflows can look fine while the plan, tool use, or policy path regresses. This guide shows how to build an eval harness around scenarios, golden tasks, tool traces, and acceptance thresholds—and keep it current as the workflow changes.
A practical framework for bringing cloud economics into architecture review without turning it into a finance gate: name the dominant cost driver, surface hidden spend, and make reliability-vs-spend tradeoffs explicit.
“Let the agent decide” sounds decisive until you have to answer: decide what, under which permissions, and with what stop condition? This post gives production AI teams a boundary model for agent decision rights, escalation, kill switches, and scope review.
A practical architecture model for agentic systems: keep reasoning in the loop, but move policy, approvals, audit, retries, and rollback into a deterministic control plane before side effects happen.
Hiring authenticity is easy to misuse when teams treat it as a vibe check. This post defines it as a consistency check: honest, coherent, and reasonably verifiable self-presentation in the hiring process.
Hiring teams usually do not have a truth machine. A better model is to compare claims across resume, interview, and references, then verify selectively without turning screening into an accusation.
If an agent can mutate state or trigger downstream actions, prompt quality is not the main safety mechanism. The architecture is. This guide shows where the control plane should decide, where the agent loop should decide, and how to keep production workflows auditable, recoverable, and bounded.
Hiring authenticity is often treated like a culture word or a vibe check. A more useful definition is simpler: truthful, consistent self-presentation under pressure. Here’s how to use that idea without turning hiring into a morality test.