Human-in-the-loop

As explained in "Looks Good to Me"

The human capacity to evaluate software decisions using nuance, context, history, and broader situational understanding.

Human judgment evaluates software decisions through nuance, context, history, and the larger situation. In code reviews, it protects meaningful attention by leaving repetitive checks to automation. section 5.1

Use human judgment to:

• Decide whether an upgrade is safe when services depend on a removed feature. section 5.1
• Distinguish a correct declaration from one that introduces a scoping or debugging problem. section 5.1
• Validate AI findings and make the final code-review decision without outsourcing critical thinking. section 13.6

Upgrade decision

An automated tool recommends updating an outdated library and can perform the upgrade. A reviewer delays it because several services rely on a feature removed in the latest version. section 5.1

Figure 13.8 The future of code reviews relies on a balance between human and AI responsibility.

Use the human–AI responsibility balance to keep automated assistance subordinate to human validation and final decisions. section 13.5

How "Looks Good to Me" covers it

How deep it goes

Explains contextual decisions through upgrade and variable-scope examples, but stops short of prescribing a formal judgment framework.

Examples

Uses library upgrades, removed service features, variable declarations, and AI-assisted pull-request reviews.

What it assumes

Assumes familiarity with code reviews and software dependencies while treating contextual reasoning as a developer responsibility.

What you can do after

Evaluate software decisions, validate AI feedback, and make final code-review decisions using context and nuance.

How it connects

Connects human judgment with automation, code review, artificial intelligence, context, and critical thinking.

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Also explained in

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  Introduction to Generative AI, Second EditionHuman-in-the-loop is a system-design pattern in which people participate in monitoring, evaluating, correcting, or governing an AI system.
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  The Art of AI Product DevelopmentHuman evaluation is the assessment of model outputs by people using qualitative or task-specific judgments.
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  AI Agents in Action, Second EditionHuman evaluation is the assessment of system outputs or behavior by people applying judgment that may depend on context, policy, tone, or edge cases.
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  Generative AI in ActionHuman evaluation is the assessment of an artifact or system by people using judgments, observations, surveys, or interviews.
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  Starting Data Analytics with Generative AI and PythonOversight is the monitoring and supervision of an AI system's performance, impacts, and compliance by responsible people or groups.
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  Machine Learning System DesignJudgments or preference signals supplied by people about the quality or desirability of system outputs.
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  Build an AI Agent (From Scratch)Human evaluation is the direct assessment of system outputs by professional graders or domain experts.
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  AI-Powered SearchA judgment is a human assessment of the relevance of a search result to a query or information need.
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  AI Agents and Applications
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  Digital Twins in ActionHuman oversight is the supervision and authorization of an autonomous system's decisions and actions by people.
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  Data-Driven CybersecurityHuman oversight is the review, supervision, or intervention by people in an automated system's operation and decisions.
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  Financial AI in PracticeHuman oversight is the involvement of people in reviewing, approving, or supervising system decisions and operation.
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  Effective Conversational AIHuman review is the examination of system outputs by people who assess their accuracy and contextual appropriateness.
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  First-Party Data ActivationA human-in-the-loop model is an AI system or workflow in which people participate in reviewing, approving, or directing model outputs.
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  Building Reliable AI SystemsHuman supervision of an AI system's outputs, decisions, and operation.
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  Grokking StatisticsHuman in the loop is a system pattern in which people participate in reviewing, labeling, guiding, or validating automated processing.

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Related concepts

• evaluatoralternative to · An evaluator is a model or component that assesses outputs against specified criteria and produces judgments, scores, comparisons, or feedback.
• AI agentused by · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.
• language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
• automationcontrasts with · Automation is the execution of tasks or processes by machines or software with reduced direct human intervention.

This explainer was generated by Manning's knowledge graph from the text of "Looks Good to Me". The section links point to the parts of the book it draws on.