AI Agent Engineering — News

• NVIDIA Vera Rubin: Seven Chips, Five Racks, and the Biggest Bet on Agentic AI Ever — Every previous NVIDIA launch followed the same script: one new GPU, faster than the last, benchmarks that make the previous generation look quaint. You upgrade your cluster, retrain your models, and wait for the next keynote. Vera Rubin does not follow the script. On March 16,... [announcement] 2026-03-23
• GTC 2026: The Week Agentic AI Became an Industry — Thirty thousand people flew to San Jose last week for GTC 2026. They came expecting a GPU conference. What they got was a declaration: the token is the new unit of economic output, the AI agent is the new unit of labor, and NVIDIA intends to own every layer of the stack connec... [event] 2026-03-23
• NVIDIA NeMo Agent Toolkit: The Open-Source Library for Orchestrating Enterprise Agent Teams — Every enterprise team building AI agents eventually hits the same wall. The prototype works. The demo impresses. Then someone asks: why does this agent take nine seconds on a query that should take two? Why does it call the wrong tool 15% of the time? Why did accuracy drop aft... [tool] 2026-03-23
• Perplexity Personal Computer: The Always-On AI Agent That Lives on Your Mac Mini — Every AI company wants to be your operating system. Perplexity just decided that means shipping you actual hardware. On March 11, Perplexity unveiled Personal Computer at its Ask Conference — not a chatbot, not an API, but a persistent AI agent that runs continuously on a dedi... [news] 2026-03-23
• Inside the Groq 3 LPU: The Chip Designed for Agent-to-Agent Speed — One hundred tokens per second is fast enough for you. It is nowhere near fast enough for your agents. That single observation — that the bottleneck in agentic AI is not model quality but inference latency between machines that talk to each other — is the thesis etched into sil... [research] 2026-03-23
• How to Build an AI Agent That Actually Works: The Production Playbook — The most capable AI agent your team will ever build is the one you almost didn't ship. Not because the model was wrong, but because the architecture around it was. Here's the uncomfortable truth about production AI agents in 2026: the teams getting real results aren't building... [guide] 2026-03-23
• Cicaddy and MCP: How Model Context Protocol Powers AI Agents Inside CI/CD Pipelines — Cicaddy and MCP: How Model Context Protocol Powers AI Agents Inside CI/CD Pipelines Most MCP demos end at the developer's laptop. Cicaddy puts MCP where it actually matters — inside the pipeline. The Model Context Protocol has spent the last year earning its reputation as the ... [mcp] 2026-03-18
• Microsoft Agent 365: When Multi-Agent Systems Become a Standard Enterprise Service — Microsoft Agent 365: When Multi-Agent Systems Become a Standard Enterprise Service Tens of millions of agents. Not research prototypes, not proofs of concept, not slide-deck projections. Tens of millions of AI agents registered in a single control plane, created by preview cus... [multi-agent] 2026-03-18
• Inside Frontier on AWS: The Infrastructure Blueprint for Running Enterprise AI Agent Teams at Scale — Inside Frontier on AWS: The Infrastructure Blueprint for Running Enterprise AI Agent Teams at Scale Every production AI agent you have deployed so far is stateless. It receives a prompt, generates a response, forgets everything, and waits for the next call. You bolt on vector ... [infrastructure] 2026-03-18
• The OpenClaw Security Crisis: 250K Stars, 900 Malicious Skills, and What Every Agent Builder Must Learn — 250,829 GitHub stars in sixty days. By March 3, 2026, OpenClaw had surpassed React's decade-long record for the fastest-growing open-source project in history . Its creator was hired by OpenAI. Sam Altman praised it publicly. Enterprise teams across 82 countries deployed it in... [security] 2026-03-18
• Galileo Agent Control: The Open-Source Control Plane That Governs AI Agents Across Every Framework — Galileo Agent Control: The Open-Source Control Plane That Governs AI Agents Across Every Framework A Fortune 500 company's agent dropped a production database table. Not because it was hacked. Not because the model hallucinated in a spectacular, obvious way. The agent followed... [tool] 2026-03-18
• Cicaddy: How Red Hat Turned CI/CD Pipelines Into AI Agent Runtimes — Cicaddy: How Red Hat Turned CI/CD Pipelines Into AI Agent Runtimes Every organization building AI agents faces the same infrastructure question: where do these things actually run? The default answer — spin up dedicated agent servers, provision GPU nodes, manage a separate orc... [guide] 2026-03-18
• AI Agent Frameworks Benchmarked: LangChain vs CrewAI vs AutoGen in 2026 — The Numbers That Actually Matter — AI Agent Frameworks Benchmarked: LangChain vs CrewAI vs AutoGen in 2026 — The Numbers That Actually Matter A CrewAI agent crew handling customer support tickets at a Fortune 500 retailer costs $0.12 per query. The same workflow built on AutoGen costs $0.35. Both produce accept... [research] 2026-03-18
• Amazon Bet Fifty Billion on OpenAI and What the Frontier Platform Means for AI Agents — Amazon Bet Fifty Billion on OpenAI — and What the Frontier Platform Means for AI Agents Fifty billion dollars is roughly the GDP of Slovenia. It is also the amount Amazon just committed to OpenAI — $15 billion upfront, another $35 billion conditional — as part of a $110 billio... [news] 2026-03-18
• OWASP Top 10 for Agentic Applications: The Security Playbook Every Agent Builder Needs — 1,184 malicious packages. 135,000 exposed instances. And that was just one agent platform in one month. The OpenClaw supply chain crisis didn't arrive with a dramatic zero-day announcement or a nation-state attribution. It arrived the way most agent security failures do: quiet... [research] 2026-03-16
• MultiAgentBench: The First Real Test of Whether AI Agents Can Work Together — MultiAgentBench: The First Real Test of Whether AI Agents Can Work Together Five AI agents sit around a virtual table. One of them is a werewolf. The others have ten rounds of conversation to figure out who is lying. Each agent reads social cues, forms alliances, makes accusat... [research] 2026-03-16
• GitHub Agentic Workflows: When CI/CD Pipelines Start Thinking for Themselves — GitHub Agentic Workflows: When CI/CD Pipelines Start Thinking for Themselves When was the last time your CI pipeline diagnosed its own failure, opened a PR with the fix, and tagged the right reviewer — all before your morning coffee? If the answer is "never," you are running C... [news] 2026-03-16
• Docker cagent: Build Entire AI Agent Teams in a Single YAML File — Docker cagent: Build Entire AI Agent Teams in a Single YAML File Two hundred lines of Python orchestration code. Forty-seven dependencies. A weekend lost to debugging async callback chains between a researcher agent and a writer agent that refused to share context. Or: 12 line... [tool] 2026-03-16
• From Prompt Engineering to Context Engineering: The Skill Shift That Defines 2026 — Prompt engineering is dead. What killed it is more interesting than what replaces it. For three years, the tech industry treated "write better prompts" as a career path. Entire job listings revolved around the ability to coax a language model into producing the right output by... [guide] 2026-03-16
• Google ADK vs AWS Strands: The Agent Framework War Heating Up in 2026 — Google ADK vs AWS Strands: The Agent Framework War Heating Up in 2026 The most important decision in AI agent development in 2026 has nothing to do with which model you choose. Models are converging — Claude, Gemini, GPT, Llama, Nova all handle tool calling, multi-step reasoni... [tool] 2026-03-16
• The 2026 MCP Roadmap: From Tool Integration to Agent-to-Agent Communication — The 2026 MCP Roadmap: From Tool Integration to Agent-to-Agent Communication MCP started as a way to connect AI models to tools. That chapter is over. The Model Context Protocol began its life solving a specific, well-bounded problem: give language models a standardized way to ... [research] 2026-03-16
• GTC 2026 and the Rise of NemoClaw: NVIDIA Bets Big on Open-Source Enterprise AI Agents — GTC 2026 and the Rise of NemoClaw: NVIDIA Bets Big on Open-Source Enterprise AI Agents The lights drop at the San Jose Convention Center. Thirty-nine thousand people go quiet. A single green logo pulses on a screen the size of a billboard, and Jensen Huang walks out in his tra... [news] 2026-03-16
• When AI Discovers the Next Transformer: Evolutionary LLM Systems and the Future of Automated Science — When AI Discovers the Next Transformer: Evolutionary LLM Systems and the Future of Automated Science A founding researcher at Sakana AI made a claim that should unsettle anyone building with LLMs: "When we run LLMs autonomously, nothing interesting happens" . The models genera... [research] 2026-03-15
• NVIDIA NemoClaw and the Open-Source AI Agent Explosion — NVIDIA NemoClaw and the Open-Source AI Agent Explosion Jensen Huang called OpenClaw "probably the most important release of software ever." Two months later, over 40,000 exposed OpenClaw instances were found on the public internet, and Meta banned it from corporate devices . T... [news] 2026-03-15
• The AI Agent Observability Gap Why Most Teams Ship Blind — The AI Agent Observability Gap: Why Most Teams Ship Blind Most teams building AI agents today can tell you what their agent is supposed to do. Far fewer can tell you what it actually did on the last thousand requests — which tools it called, in what order, whether the user's p... [guide] 2026-03-13
• Why Spec-Driven Development Is Replacing Vibe Coding — A deployment broke at 2 AM last Tuesday. The on-call engineer pulled up the diff, traced the failure to an auth token validation change, and realized something unsettling: nobody on the team had written that line of code. An AI agent had generated it three days earlier while a... [guide] 2026-03-11