惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
腾讯CDC
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Jina AI
Jina AI
N
Netflix TechBlog - Medium
有赞技术团队
有赞技术团队
博客园 - 【当耐特】
MongoDB | Blog
MongoDB | Blog
P
Proofpoint News Feed
L
LangChain Blog
aimingoo的专栏
aimingoo的专栏
GbyAI
GbyAI
B
Blog
F
Fortinet All Blogs
T
Tailwind CSS Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
G
Google Developers Blog
A
About on SuperTechFans
C
Check Point Blog
Microsoft Security Blog
Microsoft Security Blog
MyScale Blog
MyScale Blog
B
Blog RSS Feed

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
When Old Things Take On New Meaning in the Age of AI (Bit...
koshirok096 · 2026-06-27 · via DEV Community

Introduction — On What I've Been Writing for Years

This is a follow-up to my previous post on Claude and MCP. Just sharing some recent thoughts.

Personally, I've always enjoyed keeping records and analyzing my own work. So for years, I've been logging my daily tasks, jotting down thoughts, hesitations, and impressions in notes. I've drawn on these records for reviews, analysis, and decisions on various projects.

The tools have shifted over time — Evernote, Notion, Logseq, Taskuma, and so on — but the habit itself, of writing notes into some app or tool, has stayed with me for years.

What Happened with MCP

I recently wrote about connecting Notion and Google Docs through MCP, and the results have surprised even me. I won't repeat the details here since they're in that post, but ever since I introduced MCP, the flow of information has accelerated dramatically. In particular, I'd been accumulating reviews, task management notes, and brainstorms in Notion for years, and letting Claude read all of this has shifted the meaning of what I'd previously written.

When I first started recording in Notion, it never occurred to me that it might be useful to AI. Of course — I had no way to imagine a time when AI would become this close to everyday life, used in this way. I was just writing for plain, analog reasons — "so I could look back later," "so I could organize my own thinking."

But the moment MCP made it all readable, the feeling shifted. It's as if my past self comes forward to help my current self. Claude answers my current questions while drawing on the reasoning behind old project decisions, or on impressions I'd noted at the time. I've had moments like that more than once now.

Thinking about it: the human brain's memory has limits — even the person who wrote something forgets it quickly. That's why I kept taking notes, leaving behind my thoughts and conclusions at each point in time as a record. And now, in the flow of conversation, AI reads from those records, distills them into a form that immediately fits my current self, and bridges across to me. Whether for grounding decisions or raising the quality of brainstorms and project work — my past self's accumulation comes through directly. That's the structure underneath all of this, and I only noticed it recently.

What I Noticed

When a new technology appears, many people tend to focus on its newness. New tools, new techniques, the sense that we have to do something new with them. I'm the same way — I catch myself thinking I need to add something new on top.
But this time, in my own case, what actually worked was the opposite direction. Using a new tool to draw out the old accumulation I'd built up over years, and to work creatively with it. That was the shape of it.

It wasn't that something new worked — it was that something old took on new meaning. That came as a surprise, and I wanted to write it down.

Maybe this isn't just my story.

The things I've built up over time. Things that look old, things that seem to have lost their value. Maybe the value didn't disappear — maybe there just hadn't been a reader for them yet. And now, there's something that can read across all of it.

Closing

To be honest, over the past few years, watching AI develop so quickly, I've had this worry — that what I've been doing for years might get replaced, that what I've accumulated might have been wasted. A vague anxiety that's been sitting somewhere in the background.

But this time, with MCP, what I'd been collecting in Notion started to do more for me than ever before. It wasn't wasted, I found myself thinking.

For my own part, I want to keep this perspective going forward — alongside chasing new tools, asking how I make the most of what I've built up over time.

Thank you for reading :)