About this episode

Ryan discusses building agentic SDLC pipelines with Suneet Malhotra, focusing on QA engineering and LLMs.

Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase. Episode notes: You can learn more about Suneet’s five-agent SDLC (and see the companion code) on his GitHub .  Read the papers discussed: Cross-Layer Observability for LLM-Assisted Test Automation: A Reference Architecture and Web Feasibility Study and Cross-Layer Observability for LLM-Assisted Test Automation — Reference Implementation and Evaluation Data (v1.5.2, JSS In-Practice) . Connect with Suneet on LinkedIn and see more of his work on his website .  Congrats to user Sanjay for winning a Great Question badge for asking What does it mean to fork on GitHub? . See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

People in this episode

Host: Ryan

Guest: Suneet Malhotra

Topics covered

• SDLC
• QA engineering
• LLMs
• test automation
• specification enrichment

Keywords

• SDLC
• QA engineering
• LLMs
• Cohen’s kappa
• test automation
• specification enrichment

Mentioned in this episode

Organizations: Motorola Solutions

Books & works: Cross-Layer Observability for LLM-Assisted Test Automation: A Reference Architecture, Cross-Layer Observability for LLM-Assisted Test Automation — Reference Implementation and Evaluation Data (v1.5.2, JSS In-Practice)

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