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8 articles tagged #AI Agents.
P.01Three leading agent orchestration frameworks, three different mental models. Here's when each one earns its place, what each costs you in complexity, and what the choice looks like when you're debugging at 2am.
P.02AI coding has moved past autocomplete. In 2026, autonomous agents read tickets, write code, run tests, fix failures, and submit PRs — all without human intervention. Here is what this actually looks like in practice and what it means for engineering teams.
P.03Google's 2026 AI Agent Trends report declares this the year of the 'agent leap.' We break down what it means, compare Claude Code, Devin, Operator, and Mariner, and explore what agentic AI means for developers and businesses.
P.04EditorPickHow we built production multi-agent systems using Claude Agent SDK and Model Context Protocol. Covers orchestrator-worker patterns, handoff strategies, error handling, and real-world architecture decisions.
P.05Gartner predicted AI agents would enter the trough of disillusionment in 2026. They were right. After a year of failed deployments, runaway costs, and overpromised demos, the market is finally getting serious about what agents can actually do.
P.06EditorPickn8n just raised $180M at a $2.5B valuation. But behind the hype, real problems are emerging — security vulnerabilities, AI agent limitations, fair-code licensing, and a 58x revenue multiple that makes no sense. Here is the full picture.
P.07EditorPickA trademark dispute, crypto scammers, 100K GitHub stars, a social network for AI agents, and a security crisis — the Clawdbot saga has everything. Here's the full story of the viral AI assistant that broke the internet.
P.08EditorPickMulti-agent systems sound great in demos but break in production. Here's how to architect, orchestrate, and monitor AI agent teams that reliably handle complex workflows — patterns from real deployments.