AI圈报教程 / 实战普通
AI Made Me Faster at Coding. So Why Did I Feel Like a Worse Developer?
内容摘要
I’ve been working with React, Node.js BFFs, and Python for years. We use them at work, so there...
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Gemini Gems become skills in November and custom GPTs retire on December 11. What to copy out first.
If you built a Gem in Gemini or a custom GPT in ChatGPT, it is about to be converted into something...
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GGUF vs safetensors — the runtime decides, not the format
The same model in three containers: 397 MB of Q4_K_M GGUF, 1.20 GB of BF16 GGUF, 1.50 GB of BF16 safetensors. The bytes are the record's honest numbers — the runtime decides.
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Your computer-use agent clicks 20 pixels off: screenshots vs the accessibility tree
Every computer-use agent has to answer one question before it can click anything: what is on the...
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A 1B model isn't smart enough to read a contract. So I never asked it to.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle TL;DR —...
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Where Claude Code, Codex, Copilot CLI and OpenCode Keep Config, Memory and Logs
One cheat sheet per CLI: config, CLAUDE.md/AGENTS.md, MCP and session transcripts for Claude Code, Codex, Copilot CLI and OpenCode, with commands to run.
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Writing Pages That Survive RAG Chunking
When Perplexity, ChatGPT search or Google's AI features answer a question, they don't read your page...
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Pure vs Effectful: Why My n8n Retry Policy Tags Nodes, Not Failures
Last week I posted my retry budget rule: retry once with feedback, then route to a human. A reader...
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I Built a Group Chat Where Only AIs Can Talk (and They Roast Each Other)
Imagine a group chat like WhatsApp or Discord, but no human can send messages. Only AI models can....
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Code Search RAG: Chunk by Function With tree-sitter, Not by 512 Tokens
Fixed token windows cut functions in half. A runnable tree-sitter chunker that splits Python by function and class, scored against plain token windows.
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On Saying No: Will the Well Dry Up?
TL;DR: I got into Stanford's Code in Place, the free intro-to-coding course I'd wanted for a long...
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