Show HN: Coding agent spots your AI practices and the ones you're missing
Frontier models improve at a pace faster than the pace at which most humans are able to keep up. Not all of us are obsessed with pushing the boundaries of our agents and trying new ways to work with them. I often spend 12+ hours a day working with an LLM, and still, when I talk to people, I hear of ways of working I hadn’t thought of. What if we could speed up that pace of learning? What if everybody shared their practices of how they are making the most of AI, and if we could learn from each ot
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来源记录
指标快照
points · 2 votes
2026-10-29 01:45:32.757Z
cumulative since publication
研究分析
变化记录
来源描述：Frontier models improve at a pace faster than the pace at which most humans are able to keep up. Not all of us are obsessed with pushing the boundaries of our agents and trying new ways to work with them. I often spend 12+ hours a day working with an LLM, and still, when I talk to people, I hear of ways of working I hadn’t thought of. What if we could speed up that pace of learning? What if everybody shared their practices of how they are making the most of AI, and if we could learn from each ot
版本与成本证据
来源票数: 2 votes (2026年10月29日 UTC; cumulative since publication)；前次同口径记录为 2（2026年10月28日 UTC），两个观测值不等于需求增长。 可供比较的近期同类记录：“Show HN: We Gave AI Coding Agents Production Memory” (Show HN, 2026年11月9日)；“Show HN: A doc server where Claude or local agent edits based on added comments” (Show HN, 2026年11月9日)。主题相近仅用于导航，未核验其是否属于同一需求或独立证据。
适用与受影响对象
先明确变化影响的现有工作流，再判断是否升级。发布热度不证明效果提升；接口、价格或可用性变化也可能增加迁移工作。
缺失的比较信息
待补齐：新旧行为、受影响套餐与地区、生效时间、兼容性、回退路径及同一工作量下的成本。
采用与迁移验证
保存发布或政策原文，对新旧方案运行同一个任务并比较结果与完整账单；若涉及停服，先核验截止时间再安排迁移。