Developer trust in tools is built through predictability, muscle memory, and the processes that tools encode. As agentic coding tools gain adoption, they expose flaws in existing SDLC processes — unclear requirements, code review bottlenecks, and the probabilistic nature of AI outputs. Stack Overflow survey data shows AI usage rose from 76% to 84% while trust fell from 40% to 29%. The piece argues that tooling alone won't fix broken processes; teams need to enshrine human accountability, share prompting context, apply DRY principles to AI-generated components, and know when not to use AI at all. Trust in AI-enabled development must be deliberately engineered through explicit workflows, shared context, and preserved human judgment.
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Tools are part of the processTools encode processes, but won’t fix themBuilding trust with better processesConclusion154 Impressions