Tag
agentic AI
Agentic AI refers to systems that can plan, use tools, access data, and keep working across multi-step tasks. It matters because real deployments depend on sandboxing, permissions, event consistency, and infrastructure for enterprise automation, agent SDKs, and server-side inference.
26 articles
Tim Deschryver’s practical AI workflow for devs
Tim Deschryver shows how AGENTS.md, skills, and specs make coding agents faster and more consistent.
Meta and Google join the AI agent race
OpenClaw’s viral rise pushed Meta and Google to build AI agents as Big Tech races to turn chatbots into task-doers.
Cloudflare cuts 1,100 jobs as AI use jumps 600%
Cloudflare is cutting more than 1,100 jobs after AI use rose 600% in three months, reshaping work for the agentic AI era.
Why agentic AI will rewire the enterprise economy
Agentic AI will rewrite enterprise software by turning governed workflows into the real operating system of work.
Why PolyAI’s Kong deal is the right move for enterprise AI
PolyAI is right to unify its API platform on Kong because enterprise AI needs governance, scale, and monetization.
Why IBM’s Think 2026 announcements are really about control, not just…
IBM’s Think 2026 announcements argue that enterprise AI wins through control, governance, and integration, not raw model novelty.
Mistral Medium 3.5 powers remote coding agents
Mistral launched Medium 3.5, a 128B open-weight model, plus remote coding agents in Vibe and Work mode in Le Chat.
Why RAG is ending for agentic AI
RAG is the wrong layer for agentic AI, and compilation-stage knowledge systems will replace it.
LLM Biases in Agentic AI Systems
This paper looks at bias in transformer-based agentic AI now used for shopping, video, and navigation tasks.
Anthropic’s Claude Mythos Preview exposed AI governance gaps
Anthropic’s Claude Mythos Preview exposed why enterprise AI agents need tighter governance across banking, healthcare, retail, and supply chains.
OpenAI’s Agents SDK gets safer enterprise controls
OpenAI added sandboxing and harness support to its Agents SDK, letting enterprises build longer-running agents with tighter controls.
Scaling Agentic AI Needs Better Data Plumbing
Agentic AI breaks at scale when data and events drift. Oracle argues transactional messaging and a converged database can keep systems consistent.
Kimi K2.5: Moonshot’s Open Model Joins the Elite
Moonshot AI’s Kimi K2.5 launched on Jan. 27, 2026, with 256K context, Agent Swarm, and benchmark results that challenge GPT-5.4.
Alibaba’s RISC-V AI CPU Pushes Into Server Chips
Alibaba’s 64-bit RISC-V CPU hits 3.2 GHz on TSMC 5nm, targets agentic AI, and challenges Arm and Apple-style server silicon.
NVIDIA Says AGI Is Here: What It Means Now
Jensen Huang says AGI has arrived, but his definition is narrower than most researchers'. Here’s what that means for teams, budgets, and builders.
Gemini 3.1 Pro: Google’s new top model in numbers
Gemini 3.1 Pro posts 77.1% on ARC-AGI-2, 94.3% on GPQA Diamond, and a 1M-token context window, while keeping Gemini 3 pricing.
Jensen Huang Says AGI Arrived. Did It?
Jensen Huang says AGI is already here under a practical definition. The real fight is over what AGI should mean.
OpenClaw Is Testing China’s AI Ambitions
OpenClaw is spreading fast in China, but data leaks, deleted files, and plugin risks are forcing regulators to react.
Google’s Agent Smith Is Quietly Changing Coding
Google’s internal Agent Smith automates coding tasks, works in the background, and is already so popular access had to be limited.
What AI Agents Are and How They Work
AI agents combine LLMs, memory, tools, and planning. IBM says they can call APIs, search data, and coordinate tasks autonomously.
MiMo V2 Pro vs Omni vs Flash in 2026
MiMo V2 Flash leads open-source coding benchmarks, Pro adds 1M context, and Omni handles images, audio, and video for agents.
2026 AI roadmap repo maps ML to agentic AI
A tiny GitHub repo with 1 star lays out a 2026 path from ML basics to agentic AI, with tools, projects, and roles.
Spec-Driven AI Turns MCP Into a Workflow Engine
MCP, Kiro, and Reaper show how spec-first AI can plan tasks, then execute them with fewer mistakes across creative and business work.
NVIDIA Rubin Pushes AI Infrastructure to a New Scale
NVIDIA’s Rubin platform bundles six chips, claims 10x lower inference cost, and brings Vera Rubin NVL72 systems to cloud and enterprise AI.
Xiaomi’s MiMo AI Push Targets Agentic Software
Xiaomi’s MiMo-V2-Pro, Omni, and TTS models pair 1T+ parameters with low pricing, aiming squarely at agentic AI workloads.
OpenAI’s plan for an automated AI researcher
OpenAI wants an autonomous research intern by September and a multi-agent AI researcher by 2028, but errors still pile up fast.