Resources

Practical knowledge for engineering quality in the AI era

Explore publications, guides, models and technical resources developed through IQE Labs research, engineering experimentation and practitioner learning.

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  1. 01

    Research Publications

    White papers, research insights and practitioner findings.

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  2. 02

    Methodology & Models

    The IQE Labs Methodology, maturity concepts and supporting Quality Engineering models.

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  3. 03

    Guides & Learning

    Practical explainers and educational resources for modern Quality Engineering.

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  4. 04

    Technical Labs

    Engineering experiments, reference implementations and evaluation approaches.

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IQE Labs Methodology

A connected approach to evolving Quality Engineering

Explore the models and operating concepts behind the IQE Labs approach to Intelligent and Agentic Quality Engineering.

  1. 01

    Assess

  2. 02

    Transform

  3. 03

    Operate

  4. 04

    Control

  5. 05

    Evidence

  6. 06

    Scale

Explore the Methodology

Available

In Development

  • Research White Paper 02

    Engineering Quality for Agentic AI Systems

    In Development
  • IQE Labs Explained

    What is Intelligent Quality Engineering?

    Planned
  • IQE Labs Explained

    Agentic QE Explained

    Planned
  • IQE Labs Explained

    RAG Quality Engineering

    Planned
  • IQE Labs Explained

    Evaluating Systems That Reason and Act

    Planned
  • IQE Labs Explained

    Quality Evidence Architecture

    Planned
  • IQE Labs Explained

    Understanding the IQE Maturity Model

    Planned
Engineering Experimentation

From concepts to engineering experiments

IQE Labs uses technical experimentation to examine how emerging Quality Engineering ideas behave in practice. As experiments mature, selected findings, reference implementations and evaluation approaches will be shared here.

Keep Exploring

Follow the work as it develops.

New research, learning resources and technical findings will be published as IQE Labs continues its work on Quality Engineering for AI-enabled and agentic systems.