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What does an agentic SDLC actually look like?
This article dives into the concept of agentic software development life cycles (SDLCs) as discussed by Suneet Malhotra from Motorola Solutions. The content emphasizes constructing comprehensive end-to-end SDLC pipelines enhanced by Multicriteria Decision Processes (MCPs) and using Cohen’s kappa to assess various large language models as judges. Additionally, it underscores the importance of integrating quality assurance early in the development process through specification enrichment right after the design phase, potentially leading to improved requirements and outcomes in software projects.
ExperimentConfidence: MediumMid term horizon
Published 18 Aug 2026, 05:35 UTC1 min read
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Summary
TL;DR
- Discussion with Suneet Malhotra on agentic SDLC pipelines.
- Use of MCPs for evaluating development processes.
- Importance of QA in the early stages of SDLC.
- Introduction of Cohen’s kappa for evaluating LLMs.
- Resource availability on GitHub for further exploration.
Interesting facts
- The concept of agentic SDLC focuses on proactive quality assurance.
- Shifting left in QA can lead to better requirement specifications.
- Cohen's kappa is a statistical measure used for agreement in categorical data.