Use Claude Code review findings to build reproducible tests, lint rules, evals, and risk gates that prevent the same failures from returning.
Meta Forum shows that AI-native engineering depends on specifications, observable context, verifiers, and human production gates.
AI-assisted runtime rewrites mix language, architecture, and verification gains. Use staged baselines before claiming a speedup.
Anthropic Scion 围绕永远在线的 Agent 重做源码管理。本文拆解其架构、证据边界，以及团队越过 Git 前应完成的验证。
Anthropic Scion redesigns source control for always-online agents. Learn its architecture, tradeoffs, and evidence gates before moving beyond Git.
蒸馏防御不能只看封禁数量，需要同时核算能力泄漏、正常用户摩擦和误伤成本，并为三套指标设置发布门禁。
Evaluate AI model distillation defenses with three ledgers: capability leakage, legitimate-user friction, and false-positive harm.
闲置 GPU 只有经过资源匹配、基线隔离、快速卸载和业务收益验证，才会成为安全可用的生产推理容量。
Use idle AI inference capacity safely with workload elasticity, baseline isolation, fast load shedding, and verified business value.
用任务结果、决策等价、约束保留和单个成功任务成本，验收 Agent 上下文压缩，而不是只看 Token 节省率。
