InfoQ Homepage Presentations
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Context is the New Code
Patrick Debois explains how treating context like code transforms the Software Development Life Cycle into a Context Development Life Cycle to scale AI agent workflows reliably across teams.
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From Staff Platform Engineer to a16z Founder: What I Wish I'd Known
Gonzalo Maldonado shares how engineers can apply VC-style thinking (the "VALK") to evaluate platform tools, de-risk new ventures, navigate post-ZIRP realities, and scale software into businesses.
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From Consumers to Builders: Turning 200 of our Team into Agent Creators in Two Weeks
Ben Maraney explains how Forter enabled R&D teams to build internal AI agents fast by simplifying tools, using custom MCP servers, and removing organizational roadblocks to maximize engineering ROI.
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Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Mallika Rao shares why building adaptive recommendation systems requires shifting focus from isolated ML models to real-time feedback loops, retrieval freshness, and production-level constraints.
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Spritely: Infrastructure for the Future of the Internet
Christine Lemmer-Webber and David Thompson discuss Spritely's vision for a decentralized web, explaining capability-based security, actor models, and local-first tech to build resilient apps.
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Designing Fast, Delightful UX with LLMs for Mobile Frontends
Balakrishnan Ramdoss explains how to scale AI-driven conversational app experiences using server-driven UI, BFF architectures, optimized prompting & high-performance on-device models for low latency.
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APIs for Agents: Rethinking API Programs in the MCP Era
Jim Gough and Andreea Niculcea explain how Morgan Stanley leverages Architecture as Code with CALM and MCP to scale secure, compliant API platforms for AI agents and future protocols like A2A.
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Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering
David Gudeman shares high-velocity startup architecture strategies, explaining how to leverage Firebase, GCP, and Cloud Run to ship fast, eliminate state complexity, and scale without devops overhead.
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The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
OpenAI’s Vinoth Govindarajan explains how to build reliable AI agent harnesses in production, focusing on state ownership, mutation ordering, scoped authority, and user-visible proof of action.
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Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Ajay Prakash shares how LinkedIn built Contextual Agent Playbooks and Tools to give AI coding agents internal stack context, automating 600+ workflows and raising productivity 20%.
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Complexity and Creativity in Software Engineering
Phillip Mortimer explains why all code is now write-only in the AI era, detailing how software leaders must shift focus from line-by-line PR reviews to detailed tests and self-healing architecture.
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When Incidents Refuse to End
Vanessa Huerta Granda discusses how long-running incidents reveal critical technical realities, organizational fragility, and human dynamics, offering strategies for long-term resilience.
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