InfoQ Homepage Agents Content on InfoQ
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Moving Mountains: Migrating Legacy Code in Weeks Instead of Years
Principal AI Engineer David Stein explains how ServiceTitan uses AI coding agents to automate large-scale legacy code migrations, compressing quarters of technical debt into weeks.
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Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin
LinkedIn’s Karthik Ramgopal and Prince Valluri explain how to scale engineering with agentic AI. They discuss building centralized platform foundations for orchestration, tooling, and context.
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Choosing Your AI Copilot: Maximizing Developer Productivity
Coinbase ML platform engineer Sepehr Khosravi discusses the state of AI-assisted development. He explains how to maximize productivity using advanced techniques in Cursor and Claude Code.
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Powering the Future: Building Your GenAI Infrastructure Stack
Merrin Kurian discusses Intuit’s GenOS, a generative AI operating system powering agents for 100M users. She explains the transition from chat assistants to "done-for-you" autonomous experiences.
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What I Learned Building Multi-Agent Systems from Scratch
Paulo Arruda shares Shopify’s journey from "vibe coding" to building a multi-agent microservices architecture, exploring how specialized AI agents and context engineering maximize engineering ROI.
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Choosing Your AI Copilot: Maximizing Developer Productivity
Sepehr Khosravi explains how to achieve 15-20% productivity gains using Cursor and Claude Code, sharing advanced tips for AI agents, custom rules, and reassessing software development assumptions.
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State of Play: AI Coding Assistants
Birgitta Böckeler explains the shift from basic autocomplete to autonomous agents. She shares how context engineering, subagents, and "harness engineering" are redefining senior developer roles.
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Directing a Swarm of Agents for Fun and Profit
Adrian Cockcroft shares how he uses AI agents to deliver days of coding in minutes. He discusses the shift toward "NoDev" and why engineering leaders must evolve into directors of agentic swarms.
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DevOps Modernization: AI Agents, Intelligent Observability and Automation
The panelists explain how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations.
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Lessons Learned from Building LinkedIn’s First Agent: Hiring Assistant
Karthik Ramgopal and Daniel Hewlett explain LinkedIn’s shift to agentic AI. They share how a modular supervisor-sub-agent architecture and a centralized skill registry power the new Hiring Assistant.
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Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains how systems thinking and Causal Flow Diagrams are tools to navigate the unintended consequences of increasingly complex multi-agent AI systems and ensure responsible AI.
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Beyond the Hype: Architecting Systems with Agentic AI
The panelists discuss architecting with Agentic AI: the hype, the reality, and how to build production-ready, trustworthy systems with guardrails, observability, and continual relevance.
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