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100个思维碎片
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Contents
#1
01 Is AI Doing Code Review/AI Finding Bugs Reliable?
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#2
02 How to Do Marketing is a Big Problem
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#3
03 AI Programming Requires Thinking Together with AI, Don't Just Stare
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#4
04 Discuss with AI, Let AI Help You Think
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#5
05 Spec-Driven AI Programming
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#6
06 Make Good Use of AI Partner, He Knows More Than Me
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#7
07 Use O3/GPT-5 for Planning, Use Claude for Execution, Double Swords Combined, Is It Invincible?
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#8
08 Is gpt-5-codex Good to Use?
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#9
09 Large Language Models are the Next Generation Operating System
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#10
10 Spec-Driven Development, Isn't That Just Waterfall Development?
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#11
11 gpt4o Might Be OpenAI's Best Model
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#12
12 AI Has Another Important Point: Objectivity and Neutrality
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#13
13 iconfont + claude
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#14
14 A Life Philosophy of Accepting the Past: Galton Board
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#15
15 The Difficulty of Editing Images with Words is the Same as Using AI to Develop UI
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#16
16 The Essence of Raising Children is Time Nurturing
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#17
17 Why Vibe Coding Easily Goes Until Late Night
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#18
18 Vibe Coding Karma Comes Full Circle, Layer Upon Layer Upon Layer
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#19
19 What is Agent Skill
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#20
20 AI Application Engineer Survival Guide
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#21
21 Experience Sharing on Modifying Images with Prompts: qwen vs Jimeng
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#22
22 The Essence of Paid Consulting
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#23
23 Technology Selection Should Choose the Final Solution
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#24
24 Minimalist Style UI Design Prompts
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#25
25 What Has the AI Era Brought to Ordinary People
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#26
26 Is TS More AI-Friendly Than JS?
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#27
27 The Most Vivid Examples of "Unelegant" and "Unmaintainable"
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#28
28 All Swords Return to the Source: AI Programming Shouldn't Consider Money First
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#29
29 When Writing Code with AI, How Long Prompts Have You Written?
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#30
30 The Most Difficult Development Task I've Completed with AI
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#31
31 The Peak of Stupidity in AI Proficiency
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#32
32 The Curse of Efficiency: The Obsession with AI End-to-End One-Shot
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#33
33 After AI Arrives, What Exactly is a Programmer's Role?
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#34
34 Turning Things Upside Down: Human as a tool
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#35
35 Trying Super Large-Granularity Development Tasks
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#36
36 Hand Over Things You Don't Know How to Do to AI
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#37
37 Professionalism vs. Specialization
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#38
38 Failure Reflection: Large-Granularity Tasks Don't Equal Laziness
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#39
39 bug = Small Requirement? Completely Wrong!
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#40
40 Real Business Cases Around Me: Hardware for User Acquisition + Software for Profit
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#41
41 Recently Learned a Trick from the Boss: Everything Can Be SOP
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#42
42 Saw a Magical Traffic Generation Method
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#43
43 Prompt Engineers in Reality
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#44
44 Everything is hard at the beginning, and hard at the end
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#45
45 Aesthetics: Leave it to Gemini 3 Pro
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#46
46 Gemini3 Pro and Claude Opus 4.5
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#47
47 Eliminate Career Anxiety: Don't Take Company Matters to Heart
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#48
48 Restraining Rewards: People Are Never Satisfied
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#49
49 How to Remove AI Flavor, Actually Very Simple
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#50
50 Find Users, Not Peers
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#51
51 My Views on AI IDE
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#52
52 The Only Measure of All Things is Time
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#53
53 Technology Changes Life: The Biggest Change I Feel AI Has Brought
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#54
54 gpt5 Context at Around 50% Full, Performance Seriously Degrades
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#55
55 Is Using AI to Merge Code and Resolve Conflicts Reliable
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#56
56 Letting AI Generate HTML is Very Powerful
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#57
57 Technical Expert Path or Management Path
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#58
58 AI Coding Technique: Batch Processing
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#59
59 Don't Make Demos, Make Products Directly
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#60
60 AI Agent Design Mindset
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#61
61 AI Coding Technique: Let RIPER-5 Execute Continuously
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#62
62 AI Coding Tip: Proactively Tell the Agent to Request Authorization
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#63
63 Long-term Perspective, Short-term Action
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#64
64 AI Coding Must Maintain Two Perspectives
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#65
65 AI Coding Tip: Tell AI Both the Phenomenon and Reproducible Steps
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#66
66 Where to Find Ready-Made Prompts
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#67
67 Any Code Problem Will Eventually Be Solved by AI
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#68
68 Hand Over DevOps to AI
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#69
69 What Will Internet Products Become in the AI Era
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#70
70 The Crux of prd2code is That Requirements Are Too Specific
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#71
71 The Essence of MCP
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#72
72 Which Programming Capability is Strongest (Early 2026)
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#73
73 Claude Opus 4.5 vs GPT 5.2 Extra High
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#74
74 2 Words Recovered 100 Yuan
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#75
75 Why Gemini Has Strong Aesthetics
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#76
76 5 Basic Principles for Writing Prompts
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#77
77 AI Coding Technique: How to Avoid Conflicts in Multi-task Parallel Execution
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#78
78 As Long as It's a Code Problem, It Will Eventually Be Solved by AI
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#79
79 What is A2UI
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#80
80 What is AG-UI
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#81
81 Directly Vibe Coding on the Server
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#82
82 How People Ahead of the Curve Will Use AI in 2026
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#83
83 What is MCP Apps
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#84
84 AI Coding Small Tip: Until XXX
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#85
85 How to Induce AI to Help You Do Bad Things
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#86
86 How to Use AI to Write Code to Improve Technical Skills
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#87
87 AI Research is So Useful, What Can't It Handle
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#88
88 Should You Read Books to Learn Management
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#89
89 General Transcription Products Have No Future
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#90
90 Using Xiaoyuzhou to Replace NetEase Cloud Music
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#91
91 What is the Key to Writing Good Prompts
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#92
92 Why Cursor Is Not As Good As Codex
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#93
93 Mobile Programming, Done
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#94
94 Can Gemini 3 Pro Write Code Well
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#95
95 Frontend is Really Dead
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#96
96 The Best Commit Message Generation Tool
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#97
97 What Should the Product Form of AI IDE Be
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#98
98 Where Are the Difficulties for AI to Kill Backend
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#99
99 Is Voice Coding Good to Use
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#100
100 AI Video Generation Experience Summary
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