Camunda surveyed 1,150 IT leaders and found a stark reality: 71% of organizations say they use AI agents, but only 11% of agentic AI use cases actually reached production in the past year. 73% admit a gap between their agentic AI vision and reality. This post breaks down the four barriers that keep agents stuck in pilots, and the orchestration patterns the 11% use to get them into production.
Product managers emerged when software became central to business. Agent managers are emerging now that AI agents are. HBR and Salesforce describe a new leadership role focused on monitoring agent performance, refining prompts and workflows, designing human-machine handoffs, and reporting ROI. This post breaks down the role, the six core skills, who is actually getting hired, and how to build an agent management function from scratch.
The German Federal Cabinet approved the KI-MIG on February 11, 2026, making the Bundesnetzagentur Germany’s central AI regulator and triggering a compliance countdown to August 2026. Fines reach EUR 35 million or 7% of global turnover. This is what the law actually says and what companies need to do.
Gartner predicts over 40% of agentic AI projects will be canceled by 2027. S&P Global found 42% of companies abandoned most AI initiatives in 2024. The problem is rarely the model. It is tool calling that fails 3-15% of the time, hallucination cascades that compound across steps, cost explosions nobody budgeted for, and integration debt that turns demos into dead ends. These are the 7 failure patterns that kill AI agents in production, drawn from real postmortems and deployment data.
Traditional RAG retrieves documents and hopes the top-k chunks contain the answer. Agentic RAG wraps that retrieval step inside an autonomous agent that can reformulate queries, check multiple sources, grade its own results, and decide when it has enough information to respond. This post breaks down the architecture of both approaches, shows where traditional RAG fails, and maps out when the added complexity of agentic RAG is worth it.
Gemini CLI is an open-source AI agent that runs Gemini 3 models directly in your terminal, with 94,400 GitHub stars and a free tier that gives you 60 requests per minute. Google’s own SRE teams use it to diagnose outages and automate postmortems. This guide covers setup, practical use cases, the MCP integration, and how Gemini CLI stacks up against Claude Code and Codex CLI.
On November 28, 2025, Sysdig’s Threat Research Team observed an AI-assisted intrusion that achieved administrative access to an AWS environment in under 10 minutes, compromised 19 AWS principals, abused Amazon Bedrock LLMs, and attempted GPU resource hijacking. The attack chain reveals what happens when threat actors weaponize LLMs for cloud reconnaissance, privilege escalation via Lambda code injection, and lateral movement at machine speed.
Clawdbot went from zero to 60,000 GitHub stars in a weekend. Within 72 hours, security researchers found 900+ unauthenticated gateways exposed on the internet, with Anthropic API keys, Telegram tokens, and Slack secrets visible in plaintext. RedLine, Lumma, and Vidar deployed Clawdbot-specific stealer modules before most security teams knew the tool existed. This was not an exotic zero-day. It was a localhost trust assumption meeting a reverse proxy, and it turned every misconfigured instance into an open door.
Static dashboards are becoming optional. AI agents embedded in BI platforms like Power BI, ThoughtSpot, and Qlik now monitor data streams, detect anomalies, and surface insights before anyone asks. This guide covers how autonomous BI works, which platforms lead, and what the shift means for data teams.
Agent skills are modular, installable capabilities that give AI coding agents expertise in specific domains. SkillsMP hosts 160,000+ skills, Vercel runs Skills.sh as an open directory, and companies like dbt and Supabase publish official skill packages. The SKILL.md open standard means skills work across Claude Code, Codex, Gemini CLI, Cursor, and 30+ other agents. This is the app store model applied to AI development tools.