Unlearning, experimentation and engineering rigor in an agentic world @thoughtworks
Unlearning, experimentation and engineering rigor in an agentic world  @thoughtworks
Uploaded February 2026 | Updated September 2026, 1 week ago
In a world that's being transformed by AI agents and agentic systems, how do software developers unlearn what they know while also maintaining engineering rigor?

In an in-person conversation with Nathen Harvey, Developer Relations Engineer at Google Cloud, and Patrick Debois, Developer Relations at Tessl, host Ken Mugrage dives into the ways individuals, teams and organizations are walking the line between experimentation and well-established engineering practices as they seek to innovate while ensuring resilience, reliability and security.

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Read the transcript here:
thoughtworks.com/insights/podcasts/technology-podcasts/unlearning-experimentation-engineering-rigor-agentic-world
Unlearning, experimentation and engineering rigor in an agentic worldDatabase branching: Overcoming the bottlenecks of shared database environmentsSmarter word generation in LLMs: Guiding sampling through output probability distributionsStaying human in an AI world: Frameworks for AI transformationThoughtworks Technology Radar Vol 34 | Date revealTransforming CX and operations with carsalesGet to know series trailerGet to Know - Thoughtworks CMO - Julie Woods-MossFrom code to control: Agentic software delivery with AI/works™Getting unstuck: moving AI from PoC to productionScaling the enterprise harness: How to achieve AI agent controllability across an organizationAI First Delivery: A Scalable Approach to AI Transformation at a Leading Fintech
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Unlearning, experimentation and engineering rigor in an agentic world

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