Editorial Search Archive

Munder Difflin wraps your existing CLI agents into an autonomous office of clones that share context, hand off tasks, and work around the clock. Build a production workflow that turns Claude Code, Codex, and Copilot into a coordinated team.

OpenAI launches GPT-5.6 Max with a 10M token context window — 10x larger than GPT-5.6 Sol. The new model targets enterprise agent workloads requiring entire codebase comprehension, with $0.50/M input tokens and native tool-calling support.

Frontier models are generic. Your agents need domain-specific intelligence. Prime Intellect's RL training stack lets you turn any task into a reinforcement learning environment, train custom models on 2,500+ community environments, and deploy with 1-click inference.

Multi-agent systems fail in predictable, expensive ways. We analyzed $2.3M in production failures across 42 enterprise deployments to identify the 7 anti-patterns that burn through token budgets and break systems.

The EU AI Act Phase 2 enforcement begins today: 40% of enterprise AI agents are now classified as high-risk, requiring audit trails, human oversight gates, and real-time monitoring. Non-compliance fines reach 7% of global revenue.

SOC analysts face 10,000+ alerts daily with 94% false positive rates. Autonomous correlation agents map alerts to MITRE ATT&CK techniques in real-time, cluster related events into incidents, and reduce analyst workload by 89% while catching genuine threats 3.2x faster.

Agentic coding is no longer experimental — it's the default. But what does a feature actually cost when an AI agent writes it? We benchmarked 50 production deployments across Claude Code, Muse Code, and Codex to find the real numbers.

Agent commerce needs programmable payment infrastructure. This FastMCP server exposes Stripe Connect's marketplace APIs to AI agents, enabling autonomous vendor onboarding, split payment orchestration, and real-time revenue tracking — all through the Model Context Protocol.

AI agents need observability data to make intelligent operational decisions. This FastMCP server exposes Grafana dashboards, alert rules, and time-series metrics to Claude and Cursor, enabling agents to self-diagnose performance issues and trigger incident response autonomously.

Agents need structured data access to manage projects, track tasks, and coordinate workflows. This FastMCP Python server exposes Airtable's full CRUD API to Claude and Cursor, enabling agents to read, create, update, and search records autonomously through the Model Context Protocol.

Manual A/B testing is dead. Autonomous experimentation agents now run multi-variant tests, detect statistical significance, and auto-promote winners without human bottlenecks — cutting experiment cycle time from weeks to hours.

Supply chain attacks evolved from compromised npm packages to poisoned MCP servers and tool-description injection. We analyzed 340+ incidents to map the expanded attack surface and build the defense stack agents need in 2026.