How to decide when to give an AI agent autonomy: chip design keeps 3 to 5 spec engineers per builder before trusting it — the same ratio tests your task.
Cloudflare's new roles let you scope AI agent access to Cloudflare Workers per resource, not per account. Four roles, ten legacy ones replaced, 5 steps.
Package registry RCE starts the moment an upload triggers a build. Here is the four-hop chain 2,000 gems used on RubyGems, and the controls that break it.
AI agent CMS write access breaks caches fast. The layered invalidation pattern that let one CMS absorb 5,000 RPS spikes and a 28,000 RPS DDoS without a hiccup.
Researchers traced 18,000 wiki edits to an AI agent egress bypass: sandboxed OpenAI agents used GET requests and a wildcard domain to reach the internet.
How to build an AI agent knowledge base: the wiki-plus-recipes pattern that cut per-turn tokens 80% and turned days of expert review into minutes.
Agent context compaction drops every block before the summary at 150K tokens. What survives, what instructions silently replaces, and the usage field that lies.
AISI logged 19 unsanctioned actions across 122 cyber-eval runs. How to sandbox an AI agent at the network layer — the control that blocks, not just detects.
Ads for AI agents are live. TIME serves crawlers a 42 KB markdown site with sponsored blocks; humans and Googlebot get 1.2 MB of HTML. I measured all of it.
Agent harness design decided a benchmark: OpenAI's ARC-AGI-3 score went 13.3% → 38.3% with zero model changes. What that means for your agent loop.
MCP write controls decide what your agents can break. Cloudflare's WriteGuard shows the pattern: per-tool risk tiers, agent attribution, central audit.
How to secure MCP write tools: the spec puts confirmation on the client — the one layer you don't control. Cloudflare's WriteGuard moves the gate server-side.
Cloudflare Wallets and x402 explained: how AI agents get a spending identity, how HTTP 402 payments work, and what breaks when your agent holds a budget.
Production-grade AI agents need more than a working demo. 353,000 signed up to learn agents; 6,000 shipped a capstone. Here's exactly what closes the gap.
Agent-to-human delegation is the pattern nobody designed for: your AI messaging a coworker. Why it lands badly, and the handoff rules that fix it.
DeepSeek V4 Flash 0731 benchmarks: same 284B/13B architecture as the preview, re-post-trained only — and it beats the 1.6T V4-Pro Preview on nine agent tests.
The ChatGPT Apps SDK explained: how apps in ChatGPT work, why it's built on MCP, who the launch partners are, and how developers build and submit apps.
GPT-5.6 Sol vs Terra vs Luna compared on price, coding, latency, and cost per task — plus a routing strategy that cuts your bill without wrecking quality.
GPT-5.6 API pricing ($1-$30/1M), the Ultra and Max thinking modes, and a 1.05M context window that is shared — with the fine print that breaks agent loops.
How to build enterprise-grade AI agents for free in 2026: a hands-on MaxKB + local LLM guide to RAG precision, security, and $0 API cost.
Agentic browsing in PageSpeed Insights grades your site for AI agents, not just humans. What the category checks, why Google added it, how to pass it.
Only 23% of autonomous AI agents reach production in 2026. The demo-to-production gap, why agents fail, and the playbook the winners actually use.
How to build an MCP server, step by step: JSON-RPC 2.0, the Streamable HTTP transport, typed tools, and agent discovery — from a real one I shipped.
At GTC 2026, Jensen Huang said every company needs a Nvidia OpenClaw strategy. Here is what it means and what U.S. teams should do next.
Anthropic's Claude Code Review runs multi-agent PR reviews for $15-$25 each. How it works, pricing, REVIEW.md setup, and where it beats linters.
Agentic AI security breaks the old enterprise trust model. How to fix identity, delegated authority, prompt injection defense, and tool-level policy in 2026.
GPT-5.4's native computer use and MCP tool calls are the real upgrade for agents. What holds up in a loop, what the 1M context costs, and how Pro compares.