News
Anthropic: Claude Writes Over 80% of Its Own Code — and Calls for a Pause Button
Anthropic discloses the numbers: Claude writes >80% of its production code. At the same time, the company argues for the option to pause frontier development.
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Autonome KI-Systeme, die Aufgaben mehrschrittig bearbeiten.
News
Anthropic Threat Report: AI-Using Hackers Rise From 33 to 56 Percent
Anthropic's first major threat report: the share of high-risk actors using AI nearly doubled. Plus one largely autonomous agent attack.
News
The Ralph Loop Goes Mainstream in 2026 — and Brings a Token-Burn Problem
Autonomous coding agents in an endless loop: what Ralph Loop and Loop Engineering really are — and why the bill explodes without hard stops.
News
Token Tsunamis: why agentic AI systems blow up your costs
2026 industry data: agentic AI burns 5–30x more tokens than a chat. What that means for multi-agent budgets.
News
A2A Protocol After One Year: 150+ Organizations, In Every Major Cloud, First Stable Spec
At its one-year mark the A2A protocol counts 150+ organizations, ships in every major cloud, and reaches its first stable 1.0 spec for agent interop.
News
Agent Orchestration 2026: LangGraph Becomes the Default, Microsoft Consolidates Onto One Framework
LangGraph overtakes CrewAI in stars, Microsoft Agent Framework 1.0 is GA. The framework market is reordering — what that means for your choice.
Blog
AI Workflows by Keyword: How We Make Recurring Routines Enforceable
A typed keyword triggers a fixed AI routine — and every single step must be committed before the next one appears. Why that's the actual trick.
Blog
Multi-AI Orchestration Without API Costs: Why Your Existing Subscription Is Enough
Headless agents on your own machine, fed by the subscription you already pay for instead of an API bill — how boostN orchestrates many models.
Blog
Why AI Models Find Different Code Problems
Three frontier models, the same 1000-line script, three different finding lists — and why that very spread makes multi-orchestration strong.
Blog
Effort level and deep thinking: two independent axes for AI tasks
Effort scales breadth, deep thinking scales depth. When each setting makes sense — with three clear examples and one rule of thumb.
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n8n, Make & Co.: Workflow Automation With Your Own LLM Subscription
Whitepaper: How n8n, Make.com and the alternatives differ — and why boostN.ai makes bulk production far cheaper with your own LLM subscription.