In Claude Code the default effort is now xhigh, a new level between high and max giving finer control over the reasoning/latency tradeoff. 4.7 thinks more, so token use runs higher than 4.6. Manage it with effort, task budgets, or prompting for brevity.
PROMPT ENGINEERING
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Claude 4.7 Enables Complex Multi-File Code Changes in Single Prompt
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With 4.7 you can push a lot further with one prompt. That means multi-file changes, ambiguous debugging, code review across a whole service. The stuff you used to break into small chunks because the model would drift.
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Krea AI Video Generator Adds Effects and Prompt Customization
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try it out here: https://t.co/clCjTuQACy
— KREA AI (@krea_ai) 16 avril 2026
click "add effects" to see all the options available and the tags that you can add to your prompt to use them. pic.twitter.com/Ffo3i1Xj1Otry it out here: https://
krea.ai/video/seedance
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… click "add effects" to see all the options available and the tags that you can add to your prompt to use them. -
Opus 4.7: Enhanced Long-Task AI With Autonomous Verification
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What makes Opus 4.7 different: in our early testing it handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. Designed for work you can hand off with less oversight.
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Obliteratus Tool Removes Safety Refusals From Open-Weight LLMs
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Someone built a tool that deletes censorship from any open-weight LLM with a single click.
— AlphaSignal AI (@AlphaSignalAI) 16 avril 2026
Most open-source models ship with built-in refusal.
They reject prompts even when the use case is legitimate.
Research, red-teaming, creative writing.
Obliteratus is a toolkit that… pic.twitter.com/KnNohJirS1Someone built a tool that deletes censorship from any open-weight LLM with a single click. Most open-source models ship with built-in refusal. They reject prompts even when the use case is legitimate. Research, red-teaming, creative writing. Obliteratus is a toolkit that
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Claude 4.7 Launches xhigh Effort Level for Enhanced Reasoning
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4.7 thinks more, so tokens run a bit higher than 4.6. We launched xhigh, the new default effort level for a finer dial on how hard it thinks vs. how much it spends. Let us know what you think!
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Detecting ChatGPT: The ‘Quiet’ Word Pattern Problem
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The moment I see 'quiet' used unnecessarily – quiet confidence, quiet surrender, quiet this, quiet that – I know the text was written by ChatGPT… quietly.
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Agent Engineering Evolution: Environment Over Model Power 2022-2026
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from weights → context → harness engineering (evolution of agent landscape from 2022-26) the biggest shift in AI agents had nothing to do with making models smarter. it was about making the environment around them smarter. here's how agent engineering evolved in just 4
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Context Engineering: The Next Enterprise Intelligence Era
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Bottom line: the next era of enterprise intelligence won’t be “bigger models”—it’ll be better context. Watch the full video: Context Engineering—Defining the Next Era of Enterprise Intelligence. In partnership with Elastic. Check out the full article:
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Context Engineering: Structuring Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,