HTML is the new Markdown, according to Thariq Shihipar (
@trq212
). Thariq is the lead engineer behind Claude Code. The guy literally ditched writing Markdown files, switching instead to Claude Code to generate his HTML. Great article explaining why he made the switch ↓
@datachaz
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Engineer Switches to Claude Code for HTML Generation
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Claude Code Adds /radio Command for Lo-Fi Coding Beats
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Claude Code adds a /radio command for Lo-Fi coding beats 🤯pic.twitter.com/ukxlWz19l4
— Charly Wargnier (@DataChaz) 9 mai 2026Claude Code adds a /radio command for Lo-Fi coding beats
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AI-Powered Code Pipeline Using Claude Code and Automation Tools
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100k bookmarks in 2 months. Not bad!
— Charly Wargnier (@DataChaz) 8 mai 2026
Beautiful pipeline too:
>Claude Code + Hermes reading/writing to a Git repo
>running a 54-pattern anti-slop verifier
>passing the final state via API to Postiz for scheduling
skip the Netflix binge this weekend and spend an hour on this ↓ https://t.co/W3zH05DyGs pic.twitter.com/PRdm4Y2wie100k bookmarks in 2 months. Not bad! Beautiful pipeline too: >Claude Code + Hermes reading/writing to a Git repo
>running a 54-pattern anti-slop verifier
>passing the final state via API to Postiz for scheduling skip the Netflix binge this weekend and spend an hour on this ↓ -
Using AI Models to Optimize Prompt Routing and API Budget
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using a 1T parameter model to parse a 3-line JSON is a crime 😅@OrcaRouter just dropped.
— Charly Wargnier (@DataChaz) 8 mai 2026
It automatically routes prompts based on complexity to protect your API budget 👀
CFOs after reading this: https://t.co/bSrxIcukLZ pic.twitter.com/5YG9swOHUCusing a 1T parameter model to parse a 3-line JSON is a crime @OrcaRouter just dropped. It automatically routes prompts based on complexity to protect your API budget CFOs after reading this:
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Try Gemma 4 Assistant GGUF Builds on Hugging Face
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You also want to give these Gemma 4 assistant GGUF builds a try on @huggingface →
https://
huggingface.co/collections/At
omicChat/gemma-4-assistant-gguf
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Faster Inference for Gemma 4 on LLaMA.cpp with Multi-Token Prediction
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🚨 STOP WHAT YOU ARE DOING AND LOOK AT THESE BENCHMARKS@atomic_chat_hq just unlocked 1.5x faster inference for Gemma 4 on LLaMA.cpp using Multi-Token Prediction.
— Charly Wargnier (@DataChaz) 8 mai 2026
138 tokens per second on a local 26B model is pure sorcery 👀
Get the code and GGUFs below ↓ https://t.co/o4aF64B5eeSTOP WHAT YOU ARE DOING AND LOOK AT THESE BENCHMARKS @atomic_chat_hq just unlocked 1.5x faster inference for Gemma 4 on LLaMA.cpp using Multi-Token Prediction. 138 tokens per second on a local 26B model is pure sorcery Get the code and GGUFs below ↓
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Anthropic’s Playbook on Claude’s AI Prompt Engineering
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🚨 Anthropic quietly dropped a FREE 33-page playbook on Claude’s ultimate cheat code:
— Charly Wargnier (@DataChaz) 8 mai 2026
the 'Skills' folder ✨
Take 30 mins to set it up and stop repeating yourself forever.
Pros build systems, not prompts.
link below ↓ pic.twitter.com/9z2x2stON7Anthropic quietly dropped a FREE 33-page playbook on Claude’s ultimate cheat code: the 'Skills' folder Take 30 mins to set it up and stop repeating yourself forever. Pros build systems, not prompts. link below ↓
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AI agent autonomously fixes production bug
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3/ Bug Sensor
— Charly Wargnier (@DataChaz) 7 mai 2026
An application crashes in production.
The sensor packages the error data, routing it to Claude Code, which analyzes the issue and drafts the PR fix.
Prod bug → Error signal → Agent fix
Your system practically heals itself! pic.twitter.com/r9ArAen2Dw3/ Bug Sensor An application crashes in production. The sensor packages the error data, routing it to Claude Code, which analyzes the issue and drafts the PR fix. Prod bug → Error signal → Agent fix Your system practically heals itself!
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AI agents autonomously audit codebases
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2/ X Sensor
— Charly Wargnier (@DataChaz) 7 mai 2026
Turning industry chatter into direct value.
A senior engineer posts an optimization trick.
The sensor formats the context, and your agent autonomously applies it to audit your current codebase.
Post → Signal → Codebase review
That's continuous intelligence… pic.twitter.com/5owVTgpl1k2/ X Sensor Turning industry chatter into direct value. A senior engineer posts an optimization trick. The sensor formats the context, and your agent autonomously applies it to audit your current codebase. Post → Signal → Codebase review That's continuous intelligence
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Autonomous AI agents capture free game opportunities
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1/ Deal Sensor
— Charly Wargnier (@DataChaz) 7 mai 2026
A perfect example of autonomous opportunity capture.
A limited-time free game drops online.
The sensor emits the state change, and the agent takes immediate action.
Free game → Sensor catches signal → Agent auto-claims it
Proactive agents never miss a window! pic.twitter.com/Xvz7VvlOOU1/ Deal Sensor A perfect example of autonomous opportunity capture. A limited-time free game drops online.
The sensor emits the state change, and the agent takes immediate action. Free game → Sensor catches signal → Agent auto-claims it Proactive agents never miss a window!