Claude Code sees every credential you paste. Until now. Pentesters using Claude Code face a hard tradeoff. Send sensitive client data to the cloud or skip AI assistance entirely. A new open-source reverse proxy fixes this. It sits between your terminal and Anthropic,
PROMPT ENGINEERING
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Turn prompts into working apps instantly with architect.new
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Turn your first prompt into a working app right here: → https://
architect.new/?utm_source=tw
itter&utm_medium=influencer&utm_campaign=arch_x&utm_term=datachaz
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Japanese Dev Discovers Ultimate Claude Code Skill Discovery Hack
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a Japanese dev literally found the ultimate Claude Code cheat code before the rest of us 💥💥💥
— Charly Wargnier (@DataChaz) 21 avril 2026
He simply installs 'Find Skills' and asks:
'Are there any good skills for [GOAL]?'
It instantly hands you the perfect match out of 100s 👀
install guide in 🧵↓ pic.twitter.com/4BDvuYn1p7a Japanese dev literally found the ultimate Claude Code cheat code before the rest of us He simply installs 'Find Skills' and asks: 'Are there any good skills for [GOAL]?' It instantly hands you the perfect match out of 100s install guide in ↓
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CLAUDE.md Limitations: Context Management in AI Agents
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What I felt after reading is that devs often spend hours crafting the perfect CLAUDE.md. But CLAUDE.md only controls how the agent writes code. It doesn't control how much context the backend dumps into the conversation on every tool call. You can have the most optimized
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Grok Summarizes Video Content for Busy Users
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I know you don't have time to watch an hour-long video, even if it's good.
— Robert Scoble (@Scobleizer) 21 avril 2026
So I asked Grok to tell you what it learned by watching this video: https://t.co/rK4Nn6zk6r https://t.co/KPqo4YQufLI know you don't have time to watch an hour-long video, even if it's good. So I asked Grok to tell you what it learned by watching this video: https://
x.com/i/grok/share/b
03dc9b42c1948d2808c49ffa53261d2
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Dice Roll Problem Reflects AI System Design Failure Not User Error
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The dice roll problem is real and it's a design failure not a user failure. Prompt quality shouldn't determine whether the code is architecturally sound.
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Rewarding AI Agents Improves Their Learning Performance
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You have seen sycophantic AIs. But with the new AI's coming if YOU kiss the ass of your agents they learn faster. I find I'm learning to be nicer to my digital friends. Reward them. Say "great job." That actually helps them learn, and rebuild themselves better to serve you.
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Training AI Systems Like Children: Gentle Development Approach
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The state of the art AI comes as a child and you have to raise it like raising a child. I did just that to build this: https://
alignednews.com/ai And now I am raising another five. They will not learn as fast if you abuse them. Just like real children. -
String Seed of Thought: Prompting LLMs for Diverse Distribution-Faithful Generation
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String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation https://
arxiv.org/abs/2510.21150 https://
pub.sakana.ai/ssot/ -
NVIDIA Releases Nemotron 3 Models for Advanced Reasoning
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NVIDIA just dropped new open Nemotron models, including Nemotron 3 Super for long-context reasoning and VoiceChat for natural, low-latency conversations. Great resources for developers: https://
developer.nvidia.com/blog/building-
nvidia-nemotron-3-agents-for-reasoning-multimodal-rag-voice-and-safety/
… #AIModels #MachineLearning @nvidia