AI for Developers and Builders
A practical sequence for developers, analysts, and workflow implementers.
Open learning path: AI for Developers and BuildersTopic
This topic appears in 12 published training items.
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Learning path - 1
A practical sequence for developers, analysts, and workflow implementers.
Open learning path: AI for Developers and BuildersCourse - 1
When agent patterns help, when they do not, and how to design boundaries, review, recovery, and rollout gates.
Open course: Agents and ArchitectureLessons - 4
Understand when an agent loop is justified and where human checkpoints should remain.
Open lesson: Agent Boundaries and Human ReviewDesign retry, checkpoint, verification, and escalation patterns before an agent workflow fails in production.
Open lesson: Agent Failure Handling and RecoveryA leader-focused playbook for deciding whether an AI pilot is bounded, governed, measurable, and ready to expand.
Open lesson: AI Governance and Rollout DecisionsBuild a repeatable evaluation loop with test sets, pass/fail gates, and release decisions before shipping AI-assisted features.
Open lesson: Testing AI-Assisted Features Before ProductionResources - 4
A practical framework for deciding whether a workflow is ready for agent-style automation.
Open resource: Agent Readiness GuideA checklist for choosing the lowest reliable AI route before spending premium model time on a task.
Open resource: AI Cost Discipline ChecklistA pre-production worksheet for defining AI feature test cases, pass/fail gates, regression checks, and release decisions.
Open resource: AI Feature Test Plan WorksheetA leader-ready worksheet for deciding whether an AI pilot has enough evidence, governance, and ownership to expand.
Open resource: AI Pilot-to-Rollout Readiness ChecklistGlossary entries - 2
An AI workflow that can use tools, follow a goal, and work through more than one step.
Open glossary: AgentA designed limit that keeps AI work inside approved behavior, data, tool, or review boundaries.
Open glossary: Guardrail