As AI coding agents accelerate code generation, the real bottleneck shifts from writing code to trusting it. Seven engineering patterns address this challenge: (1) treat verification as a first-class design constraint since agents don't transfer mental models; (2) separate test authors from test judges to avoid false confidence in agent-written tests; (3) replace prompt-based instructions with hard quality gates in CI pipelines; (4) catalog your agent's predictable failure modes and design safeguards around them; (5) use mutation testing to grade whether tests can actually catch bugs; (6) engineer the entire development lifecycle — review, CI/CD, deployment — for the new throughput, not just generation; and (7) scale confidence at the same rate as code generation by treating deliberate friction as leverage rather than waste. These patterns, developed by Salesforce's Agent Fabric team, are tool-independent and aim to turn raw generation speed into trustworthy software delivery.
