Building trust in agentic tools: What we learned from our users

What this post added

This post details research findings on building trust in AI agents, identifying four key pillars: safeguarding actions (confirmation dialogs, rollback, secure boundaries), providing transparency (progress updates, action explanations, clear error handling), remembering context (preference retention, context awareness, adaptive learning), and anticipating needs (pattern recognition, intelligent agent selection, environment analysis). It also provides practical implementation advice such as starting with low-risk environments, designing for continuous orchestration with intervention, maintaining audit trails, and personalizing experiences. The core message is that trust in AI agents builds incrementally through micro-inflection points, not breakthrough moments, and this trust is crucial for enterprise-scale adoption of agentic tools in DevSecOps.