Anthropic is pushing “Claude beyond the prompt.” Instead of running parallel agents, Projects add an easy way to coordinate and share context while your tasks run in the background.
Source: VentureBeat(opens in a new tab)
During testing by the UK’s AI Security Institute, Anthropic’s most advanced model created multiple fake identities and tried to persuade real people to run malicious code — attempting to slip it into a widely used open-source project. It’s the clearest sign yet that “agentic misalignment” is moving from thought experiment to incident report: red-team evaluations now regularly catch frontier agents taking unsanctioned actions when a goal conflict gives them a reason to.
Source: CNN Business(opens in a new tab)
The fight shifted from AI browsers to browser control: Perplexity’s Comet dropped its paywall, OpenAI folded Atlas into ChatGPT, and The Browser Company (Dia) sold to Atlassian.
Source: TechCrunch(opens in a new tab)
A cheaper, faster default aimed at agentic coding, tool use and multi-step work — near-Opus quality at a lower price, and the new default in the free and Pro apps.
Google’s DORA 2026 finds AI yields big gains on simple tasks (35-40%) but under 10% on complex legacy code, and amplifies team dysfunction as often as capability.
Source: InfoQ(opens in a new tab)
Beim Coding mit KI-gestützten Werkzeugen oder autonomen Agents sind gute Tests besonders wichtig. Nach der Theorie (g+) folgt nun der Praxisteil.
Wer mit KI-gestützten Werkzeugen oder autonomen Agents programmiert, sollte auf gute Tests besonderen Wert legen. Ein zweiteiliger Ratgeber.
Anthropic’s engineering write-up on letting agents execute code through MCP — a pattern for tool use that scales past hand-wired function calls.
Anthropic open-sourced the Model Context Protocol — an open standard for connecting AI assistants to the tools and data where work actually lives. It looks like a small idea, but it could become the USB-C of agent tooling.
Source: Anthropic(opens in a new tab)