Tag Archives: ai-tools

The Mother-In-Law Method for Claude or ChatGPT

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Screenshot of the original Mother-In-Law Method post on r/ClaudeAI by u/Ancient_Perception_6

A Reddit post called “The Mother-In-Law Method” is making the rounds in r/ClaudeAI right now. The pitch from u/Ancient_Perception_6: prompt Claude to review your code as if it were written by your mother-in-law, the one who insulted your cooking and your “weird-looking feet.” Find revenge in the diff. Claude obliged, spawned four parallel “hostile reviewers” with distinct beats (money math, tenancy, API contracts, tests), and 31 minutes later returned 27 issues plus nits. Funny post. Funnier thread. It’s tagged as

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How to Fix Codex Sandbox Errors on Ubuntu 24.04

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Terminal before and after: bwrap RTM_NEWADDR error before the AppArmor profile, ok after

TL;DR: Codex sandbox errors on Ubuntu 24.04 almost always trace back to one thing on freshly installed boxes: AppArmor blocking bwrap. A five-line /etc/apparmor.d/bwrap profile fixed it on my system. If you’re hitting the same wall, paste your error into Claude Code and let it walk you through. 💪 The Symptom: Codex Sandbox Hangs on Ubuntu 24.04 My Codex setup on a fresh Ubuntu 24.04 VM was unusable. Every codex exec call burned 35K to 54K tokens over 2 or

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Claude Opus 4.6 vs 4.7 Max: Which is better? Graded on Real World Planning

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Letter-grade scorecard comparing Claude Opus 4.6 Max and Claude Opus 4.7 Max on a WordPress modernization planning task, with Opus 4.7 winning overall A- to C

TL;DR: This is one real WordPress website maintenance task, run once against each model. On that task, Claude Opus 4.7 produced the stronger first-pass plan because it started from a more accurate baseline. Opus 4.6 was faster and caught one thing 4.7 missed, but it got the active theme wrong and claimed an impossible PHP version. I would not execute either plan as written. Grades below. Note: Opus 4.7 is getting a rough reception on Reddit and around the web

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Claude vs ChatGPT vs Gemini for Coding: Testing Results

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TL;DR: I ran the same 5 coding tasks through Claude Opus 4.6, OpenAI Codex CLI (gpt-5.3-codex), Google Gemini 2.5 Flash (sorry I did not have easy access to the newer models, but Gemma 4 was tested!), and two open-source models I ran locally: Gemma 4 31B and Qwen 3.5 35B. Claude’s code was the most production ready. Codex and Qwen tied for best code reviewer. Gemini was the cheapest. The open-source models scored A-, closing in on the paid tier.

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Claude Code /buddy How to Preview, Hatch, and Reroll Your Terminal Pet

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TL;DR: Claude Code v2.1.89 added /buddy, a virtual pet companion in your terminal. Your buddy’s body is deterministically generated from your account, and the personality generates permanently the first time you hatch it. Preview yours first with npx any-buddy current, but install Bun before you do (if you don’t already have it) Is This an April Fools Joke? I first noticed /buddy the least trustworthy way possible, by seeing it appear in Claude Code’s slash-command autocomplete on April 1. 😜

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Codex CLI + Claude Code: MCP Is 4x Faster Than the Command Line

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TL;DR: OpenAI’s Codex CLI works best with Claude Code when you invoke it through MCP, not the command line. MCP calls return in about 3 seconds versus 13+ seconds for CLI on my dev environment, it avoids sandbox issues entirely, and keep everything inside your conversation. Here’s briefly how I set it up, tested various invocation methods, and landed on an optimized dual-AI workflow that works for my coding and research tasks. Why Codex When Claude Code Already Works? Claude

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MCP Server Token Costs in Claude Code: Full Breakdown

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TL;DR: Every MCP server you connect to Claude Code silently costs tokens on every single message, even when idle. A typical 4-server setup runs about 7,000 tokens of overhead. Heavy setups with 5+ servers can burn 50,000+ tokens before you type your first prompt. Here’s the exact cost of every tool across four common MCP servers. Why MCP Servers Cost Tokens MCP (Model Context Protocol) servers let Claude Code interact with external tools: browse the web, query databases, send emails,

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Claude Code /context Command: See Exactly Where Your Tokens Go

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TL;DR: Type /context in Claude Code to see a full breakdown of where your context window tokens are being spent. It shows system overhead, MCP tools, memory files, conversation history, and free space. Use it to find bloated MCP servers, oversized CLAUDE.md files, and know when to run /compact. What Is /context? If you’ve ever had a Claude Code session start strong and then slowly degrade, the context window is probably the reason. Every message you send carries invisible overhead:

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