Most people think better AI results come from longer prompts. I’m not convinced. The biggest productivity gains usually come from asking more precise questions, defining the right context, and knowing exactly what outcome you want. The difference between an average AI user and
PROMPT ENGINEERING
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Next-level vibecoding: jogging and answering database questions on watch
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This is next-level vibecoding. You don't write the code.
You don't review the code.
You don't even sit in front of the computer. You go for a run.
Your watch rings. Claude asks whether it should use SQLite or PostgreSQL.
You mumble "SQLite" between breaths and keep jogging. -
Claude’s ‘God’ command: A clever early warning system for ignored prompts
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The dumbest-looking line in my CLAUDE. md is the most useful thing in it. It tells Claude to call me "God" in every single reply. Sounds like a joke. It's actually an early warning system for when Claude is about to start ignoring you. Here's why it works. Claude doesn't fail
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Codex Python SDK enables mid-stream message steering
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Codex Python SDK is quite powerful, you can even steer messages mid-stream!
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Abacus AI Supercomputer: Build Cloud Services & Host LLMs with a Single Prompt
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🚨 INTRODUCING THE ABACUS AI SUPERCOMPUTER
— Abacus.AI (@abacusai) 1 juin 2026
– literally build ANY cloud service with a prompt
– host open-source LLMs & always-on agents
– bring your own Codex, Claude or Anti-gravity
– multi-agent architectures with Opus 4.8 and GPT 5.5
– run 3D games or any other server at… pic.twitter.com/Rs8lA4G0vaINTRODUCING THE ABACUS AI SUPERCOMPUTER – Literally build ANY cloud service with a prompt
– Host open-source LLMs & always-on agents
– Bring your own Codex, Claude or Anti-gravity
– Multi-agent architectures with Opus 4.8 and GPT 5.5
– Run 3D games or any other server at -
Anthropic restrictive, Codex is far better for code review and allows sub.
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Hmmm Anthropic is very restrictive, claude -p no longer works so no. Codex is far better at code review tho and allows using the sub!
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Create compositing mattes in seconds with Aleph 2.0
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Create compositing mattes in seconds with Aleph 2.0
— Runway (@runwayml) 1 juin 2026
Mattes let you isolate a subject from its background so you can composite, color or apply effects to just one part of your shot.
1. Upload your video
2. Prompt for a white silhouette on black
3. Review your preview
4. Hit… pic.twitter.com/EN1dCS53P0Create compositing mattes in seconds with Aleph 2.0 Mattes let you isolate a subject from its background so you can composite, color or apply effects to just one part of your shot. 1. Upload your video
2. Prompt for a white silhouette on black
3. Review your preview
4. Hit -
Reddit test: LLMs disagree on walk vs drive to car wash
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Someone on Reddit asked 4 LLMs 100 times each: walk or drive to a car wash 100m away? Gemini 3.1 Pro said drive every time. Claude Opus 4.8 said walk every time.
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Search as Code replaces tool-calling with async search primitives
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The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.
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Ask AI directly, provide context, and define success
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codex tip that sounds obvious but somehow isn't: if you want it to do something, just ask it if it keeps messing up the same thing, ask it to remember what to avoid next time tell it what good looks like and what context it should use you'd be surprised how often this works