AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
AtScale: corporate AI agents for analytics need guardrails, not larger models
AtScale believes that corporate AI agents in analytics fail not due to 'weak' models, but due to poor governance: without unified semantics and lineage, businesses…
Habr AI described the architecture of a reflective agent: less autopilot, more self-checking
Habr AI showed how a reflective agent works: with drafts, pauses, rollback, and mandatory self-checks before acting on code, data, and business processes.
Google DeepMind Introduces AI co-clinician System for Doctors and Telemedicine
Google DeepMind launched a research AI co-clinician system that helps doctors with clinical questions and is being tested in telemedicine, but is not intended for…
Claude Code without the magic: Habr breaks down the architecture, context noise, and engineering practices
VS Code 1.111 launched Autopilot: AI agent writes, tests, and deploys on its own
OpenAI is devoting its core resources to building a fully autonomous AI researcher
WordPress.com lets AI agents write and publish content with human approval
Cursor, Copilot, and Claude Code are included in a roundup of 12 popular AI agents for developers
The roundup features 12 AI tools for coding — from Cursor and Copilot to GigaCode and Snyk: editors, cloud IDEs, and security services with varying prices and…
OpenAI, Google, and Tesla set the week's agenda: GPT-5.4 mini, AI Studio, and Terafab
OpenAI opened GPT-5.4 mini to broad access, Google turned AI Studio into an app-building environment, and Tesla promised its own $20–25 billion chip factory.
Python developer reined in Claude Code with a public anti-regression config
Perplexity turned AI search into an agent that builds Excel files and checks data on its own
GitAgent offers a unified AI agent format for LangChain, AutoGen, and Claude Code
AI agents vs RAG: how ReAct works and why multi-agent systems are needed
How Personal Data Anonymization Affects LLM Agents: Hivetrace Dataclean Experiment
The authors examined how much a banking LLM agent loses in quality after data anonymization by comparing clean requests, masks, and pseudonyms across 102 synthetic…
Capsules for AI-Agents: How Packaged Developer Experience Becomes Machine Knowledge
The capsule framework's author demonstrates how a capsule's rigid structure — context, constraints, and history — becomes the ideal format for an AI-agent, not just…