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06:00

A Comfortable AX for Agent Search

为Agent设计搜索结果：给信息配上下一步动作

Raft CTO Tenny argues that returning raw IDs or full content to an agent doing a search is bad design. The correct approach mirrors web search results: return a highlighted snippet, context preview, and one explicit next action (e.g., 'read surrounding context'). Every token in the agent's context window has a cost, so results must be compact, immediately scannable, and paired with an actionable next step. This is UX design extended—but the user is now an agent reading tokens, not a person looking at a screen.

raft.build · 11 min · Agent Tool Design · AI Engineering · Context Engineering · UX for Agents
06:00

How to fix your entire life in 1 day

用一天重置人生：反愿景与心理游戏化

This article by @thedankoe argues that New Year's resolutions fail because people try to achieve new goals with an old identity. It breaks down the psychology of behavior change: all behavior is goal-oriented (even unconsciously), identity forms through a cycle of goal → perception → repetition → defense, and real change requires breaking the link between habit and identity protection. The author provides a detailed one-day protocol: morning psychological excavation using 'anti-vision' (a vivid description of the life you don't want) to generate disgust energy; daytime auto-pilot interruption with random self-questions; evening synthesis of insights into yearly/monthly/daily goals. Finally, life is framed as a dual-purpose game (anti-vision as lose condition, vision as win condition, goals as missions/levels) to leverage flow state mechanics. Best for readers seeking deep behavioral change frameworks, but may feel abstract for engineers looking for concrete technical advice.

x.com · 31 min · Product Management · Self Development
06:00

How 1 Claude Agent Runs 10 Others · 9 Steps Swarm Loop

9步编排Claude Code智能体集群：如何让1个主管Agent协调10个子Agent并行工作

This post breaks down a 9-step pattern for running multiple Claude Code subagents in parallel without chaos. The key insight is that launching many agents is easy and usually messy; the skill is in the orchestration loop: verify the task is splittable, have the lead agent decompose it into atomic subtasks with human approval, isolate each agent via Git worktrees to prevent file collisions, then fan out in parallel. A SubagentStop hook gates every result (tests + lint), a grader scores each against a rubric and automatically sends weak ones back for revision, and finally only the lead agent merges passing results in dependency order. The entire loop can be packaged as a reusable skill or slash command.

x.com · 10 min · Agent Architecture · Agent Engineering · Claude Code · Git Worktree · Orchestration