ML models
AssessTechniques
Machine learning models that learn patterns from data to make predictions or decisions.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6Martin Fowler·7/21/2026researchThoughtworks Retreat Notes Highlight AI Coding Risks and Modernization
Martin Fowler summarizes findings from Thoughtworks' Future of Software Development Retreat, where key themes included verification becoming more important than code generation, the rise of harness engineering, and an apprenticeship crisis in organizations. The post also warns that LLM-assisted vibe coding can create security, governance, and shadow IT risks, especially when executives overestimate productivity gains and underappreciate context and controls.