Artificial Intelligence

Multi-Agent Orchestration in Production: What Enterprises Are Actually Building in 2026

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The numbers tell two different stories. On one side: 60% of large enterprises are already running AI agent systems in production, and framework adoption has doubled year-over-year. On the other: over 40% of agentic AI projects are at risk of cancellation by 2027, according to Gartner, killed by governance gaps, cost overruns, and reliability failures.…

Securing AI Agents: The New Attack Surface in 2026

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Jonathas Santos

in Artificial Intelligence

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Eighty-eight percent. That’s the share of enterprises that reported at least one AI agent security incident in 2025, according to a VentureBeat survey of 235 CISOs (Saviynt/Cybersecurity Insiders, 2026). Only 5% felt confident they could contain a compromised agent. The uncomfortable reality: most organizations didn’t see the attack coming, couldn’t stop it when it happened,…

AI-Driven Teams in 2026: The Data Behind the 170% Throughput Claim

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Rodrigo Gardin

in Artificial Intelligence

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Every engineering leader in 2026 has heard some version of the claim: AI tools are delivering 170%, 200%, even 400% productivity gains. The numbers are real — but they come with conditions. Most teams chasing these figures are measuring the wrong things, deploying the wrong tools, or solving only half the problem. Here’s what the…

The AI Productivity Gap: What Enterprise Teams Actually Get in 2026

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Karime Kumagai

in Artificial Intelligence, Development

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Here’s an uncomfortable stat to bring to your next planning session: according to Faros AI telemetry published this week, engineering teams with high AI adoption have seen code churn — lines deleted shortly after being written — increase by 861%. At the same time, engineering managers report 80–90% code acceptance rates. Both numbers are real.…

Agentic Coding in 2026: How AI Tools Are Reshaping the Software Engineering Workflow

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