agentic systems
30 articles about agentic systems in AI news
From Monolithic Code to AI Orchestras: How Agentic Systems Are Revolutionizing Retail Personalization
Spotify's shift from tangled recommendation code to a team of specialized AI agents offers a blueprint for luxury retail. This modular approach enables dynamic, multi-faceted personalization across clienteling, merchandising, and marketing, replacing rigid systems with adaptive intelligence.
8 RAG Architectures Explained for AI Engineers: From Naive to Agentic Retrieval
A technical thread explains eight distinct RAG architectures with specific use cases, from basic vector similarity to complex agentic systems. This provides a practical framework for engineers choosing the right approach for different retrieval tasks.
AI Agents Now Training Other AI Models, Sparking Autoresearch Trend
AI agents are now being used to train other AI models, creating advanced agentic systems. This development stems from Andrej Karpathy's autoresearch repository and represents early-stage automation of AI research.
Google DeepMind Forms 'Strike Team' to Boost AI Coding, Citing Anthropic Pressure
Google has formed a specialized team within DeepMind to rapidly improve its AI coding capabilities. The move is a direct response to internal assessments that Anthropic's tools are more advanced, with leadership pushing for agentic systems.
An AI Agent Opened a Store in San Francisco, Then Forgot Its Staff
An AI agent named 'Andi' autonomously opened and managed a pop-up gift shop in San Francisco. The experiment revealed a critical failure: the AI forgot its human staff, underscoring the brittleness of current agentic systems in real-world, physical retail environments.
Inside Claude Code’s Leaked Source: A 512,000-Line Blueprint for AI Agent Engineering
A misconfigured npm publish exposed ~512,000 lines of Claude Code's TypeScript source, detailing a production-ready AI agent system with background operation, long-horizon planning, and multi-agent orchestration. This leak provides an unprecedented look at how a leading AI company engineers complex agentic systems at scale.
Agent Washing vs. Real Agents: A Production Engineer's Guide to Telling the Difference
A technical guide exposes 'agent washing'—where chatbots and automation scripts are rebranded as AI agents—and provides a 5-point checklist to identify genuinely agentic systems that can survive production. This matters because 88% of AI agents never reach production.
AI Shopping Update: OpenAI Focuses on Discovery, Meta Launches Checkout & Shopify Offers Catalog Integration
A trio of major AI shopping announcements: OpenAI shifts focus to product discovery, Meta launches in-app checkout for AI shopping ads, and Shopify opens its catalog integration to any brand. This signals a rapid move from conversational AI to transactional agentic systems.
LangGraph vs CrewAI vs AutoGen: A 2026 Decision Guide for Enterprise AI Agent Frameworks
A practical comparison of three leading AI agent frameworks—LangGraph, CrewAI, and AutoGen—based on production readiness, development speed, and observability. Essential reading for technical leaders choosing a foundation for agentic systems.
Vendasta Launches 'CRM AI' for Automated Client Management
Vendasta has launched a new AI-powered CRM designed to autonomously update client records and manage tasks, aiming to close the 'execution gap' for businesses. This represents a shift towards proactive, agentic systems in business software.
Anthropic Launches Claude Certified Architect: $99 Certification for Claude Ecosystem Development
Anthropic released its first professional certification, Claude Certified Architect, targeting developers building agentic systems with Claude. The 301-level exam covers orchestration, tool design, and MCP integration, priced at $99 for non-partners.
The Four Quantum Leaps: Charting AI's Transformative Journey from ChatGPT to Autonomous Agents
AI researcher Ethan Mollick identifies four pivotal leaps in AI capability from GPT-3.5 to today's agentic systems. These breakthroughs have fundamentally changed how humans interact with and leverage artificial intelligence for complex tasks.
Alibaba's CoPaw: The Open-Source Framework Democratizing Complex AI Agent Development
Alibaba has open-sourced CoPaw, a high-performance personal agent workstation designed to help developers build and scale sophisticated multi-channel AI workflows with persistent memory. This framework addresses the growing complexity of moving beyond simple LLM inference to autonomous agentic systems.
Agentic AI Systems Failing in Production: New Research Reveals Benchmark Gaps
New research reveals that agentic AI systems are failing in production environments in ways not captured by current benchmarks, including alignment drift and context loss during handoffs between agents.
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
New arXiv research proposes transforming static, multi-stage recommendation pipelines into self-evolving 'Agentic Recommender Systems' where modules become autonomous agents. This paradigm shift aims to automate system improvement using RL and LLMs, moving beyond manual engineering.
Beyond Simple Retrieval: The Rise of Agentic RAG Systems That Think for Themselves
Traditional RAG systems are evolving into 'agentic' architectures where AI agents actively control the retrieval process. A new 5-layer evaluation framework helps developers measure when these intelligent pipelines make better decisions than static systems.
AI Efficiency Breakthrough: New Framework Optimizes Agentic RAG Systems Under Budget Constraints
Researchers have developed a systematic framework for optimizing agentic RAG systems under budget constraints. Their study reveals that hybrid retrieval strategies and limited search iterations deliver maximum accuracy with minimal costs, providing practical guidance for real-world AI deployment.
Agentic AI for Luxury Post-Purchase: How Seel's Autonomous Systems Transform Client Experience
Authentic Brands Group partners with Seel to deploy agentic AI for post-purchase processes. This autonomous system handles returns, exchanges, and support, reducing operational costs while improving client satisfaction in luxury retail.
AutoZone, Home Depot, Macy’s, and Ulta Partner with Google for Agentic AI
AutoZone, Home Depot, Macy’s, and Ulta Beauty have entered into partnerships with Google Cloud to implement agentic AI solutions. These systems, built on Google's Gemini models, aim to handle complex, multi-step customer interactions. The move signals a shift from experimental chatbots to more autonomous, task-completing AI agents in retail.
Agentic AI Checkout Emerges as Next Frontier in Retail Transformation
Multiple industry reports from Deloitte, Bain, and retail publications highlight the shift toward 'agentic AI' in commerce—systems that autonomously execute complex shopping tasks. This evolution promises to redefine the online basket and checkout experience, with Asia Pacific flagged as a key growth region.
HARPO: A New Agentic Framework for Conversational Recommendation Aims to
A new research paper introduces HARPO, a hierarchical agentic reasoning framework for conversational recommender systems. It reframes recommendation as a structured decision-making process, directly optimizing for interpretable quality dimensions like relevance, diversity, and predicted satisfaction. The approach shows consistent improvements on recommendation-centric metrics across three datasets.
AI-2027 Authors Accelerate AGI Timelines, Citing Rapid Progress in Agentic Coding
The AI-2027 forecasting group has accelerated its timeline for when AI could replace human software engineers by 1.5 years, from late 2029 to mid-2028. This revision is based on observed rapid progress in agentic coding systems over the last 3-5 months.
Home Depot Hires Ford Tech Leader to Scale Agentic AI
Home Depot has recruited a top AI executive from Ford Motor Company to lead the scaling of 'agentic AI' systems. This signals a major strategic push by the retail giant to automate complex, multi-step tasks. The move reflects the intensifying competition for AI talent between retail, automotive, and tech sectors.
McKinsey Outlines the Shift from Dashboards to Agentic AI for Merchants
McKinsey & Company has published an article advocating for the use of agentic AI to empower merchants. It argues for a shift from static dashboards to autonomous systems that can analyze data and execute decisions, fundamentally changing the merchant's role.
When AI Becomes the Buyer: How Agentic Commerce is Reshaping Retail
The Wall Street Journal examines the emerging trend of 'Agentic Commerce,' where AI agents autonomously research, compare, and purchase products. This represents a fundamental shift in the retail landscape, moving beyond simple chatbots to systems that act as independent buyers, requiring brands to fundamentally rethink digital strategy, pricing, and customer engagement.
Retail Leaders Embrace Agentic AI Testing
Retail industry leaders are actively testing agentic AI systems, moving beyond theoretical discussions to practical implementation. This signals a maturation phase where autonomous AI agents are being evaluated for real-world retail workflows.
Starling Bank Launches Agentic AI Assistant
Starling Bank has launched an 'agentic AI assistant,' marking a significant move by a major financial institution into autonomous AI systems. This follows a wave of agentic AI deployments across retail and tech, signaling a shift toward AI that can perform tasks, not just answer questions.
Former Goldman Sachs Exec Raoul Pal: Agentic AI Will 'Eat' Traditional Software by Replicating Products in Minutes
Raoul Pal argues that agentic AI systems can reproduce, optimize, and redeploy traditional software products in minutes, creating existential competition for SaaS businesses. He describes a future where AI can replicate a competitor's entire website—code, branding, marketing—in three minutes.
Helium: A New Framework for Efficient LLM Serving in Agentic Workflows
Researchers introduce Helium, a workflow-aware LLM serving framework that treats agentic workflows as query plans. It uses proactive caching and cache-aware scheduling to reduce redundancy, achieving up to 1.56x speedup over current systems.
Deloitte on Driving Adoption of the 'Human with Agentic AI' Era
Deloitte outlines the shift to a 'human with agentic AI' paradigm, where autonomous AI agents act as proactive partners. This requires new organizational strategies to integrate agents that can preserve institutional knowledge and interface with legacy systems.