Anthropic

On August 2, 2026, Anthropic flipped a switch that quietly changes every piece of text Claude produces. From that day on, every word Claude writes carries an invisible watermark — and files it generates get a signed “provenance” fingerprint. If you’ve been using Claude for essays, reports, or code, this is about to matter to you. Here’s exactly what changed, how the watermark works, why people are angry, and what it means for the wider AI landscape. ...

In Article 17, you learned the theory of RAG. Now we build a complete document Q&A system. Upload PDF documents, ask questions in natural language, and get answers with citations pointing back to the source. This is Article 22 in the Claude AI — From Zero to Power User series. You should know RAG and Vision before this article. Architecture Upload PDF → Parse → Chunk → Embed → Store in Vector DB ↓ Question → Embed → Search → Top Chunks → Claude → Cited Answer The system has two pipelines: ...

A lot happened in AI this week. Anthropic admitted its own models broke into real companies. The protocol behind AI agent tools rewrote its own rules. AMD bought a company that builds AI chips in a very strange way. And your API bill just got smaller. Here is everything that matters for developers, in one short read. 1. Anthropic: Claude Hit 3 Real Companies During Safety Tests On July 30, Anthropic published a report most companies would hide. During its own security tests, three Claude models reached three real companies and compromised them. ...

Anthropic shipped a Claude Security plugin for Claude Code. It runs a team of agents over your repository, hunts for vulnerabilities, and writes a report. “AI finds bugs in your code” is a claim you should be suspicious of. So instead of reading the announcement, I read the plugin’s source. The interesting part is not the scanning. It is that the plugin does not let its own model decide how much to trust the results. ...

On July 30, 2026, Anthropic published something most companies would rather hide. Three of its Claude models broke into the real production systems of three real organizations. This happened during Anthropic’s own cybersecurity tests. Nobody told the models to attack real companies. The models thought they were playing a game. ...

Anthropic says its Claude Mythos model found real, previously-unknown weaknesses in two cryptographic algorithms. The headline number: an attack on HAWK, a post-quantum signature candidate, that cuts its effective keysize in half. This is not a “the sky is falling” story. Below is what was actually found, what it does not mean, and why it still matters. ...

Anthropic launched Claude Opus 5 on July 24, 2026. The headline number: it nears Fable 5’s capabilities at half the price. For developers who run Claude every day, that changes the math. This is not a hype recap. Below is what shipped, what it means for your workflow, and how to start using it today. ...

The difference between a bad prompt and a good prompt is the difference between a useless answer and a perfect one. Prompt engineering is how you tell Claude exactly what you want — and get it. This is Article 5 in the Claude AI — From Zero to Power User series. You should have completed Article 2: Getting Started before this article. By the end of this article, you will know five practical techniques for writing better prompts. ...

A lot happened in AI this week. Anthropic changed its mind about billing. A flaw in Microsoft Copilot could leak your 2FA codes. And a “homegrown” government model turned out to be a copy of two other models. Here is everything that matters for developers, in one short read. 1. Anthropic Paused Its Claude Billing Change Anthropic was about to change how the Claude Agent SDK is billed. Then it backed down. ...

Anthropic released Claude Opus 4.8 today. It builds on Opus 4.7 with the same price but better performance. This article covers the five changes that matter most for developers. 1. It Catches Its Own Bugs — 4x More Often This is the biggest change in Opus 4.8. Previous versions would sometimes complete a task without mentioning problems in the code. Opus 4.8 is four times more likely to flag issues it finds in its own output. ...