InfoQ Homepage Programming Content on InfoQ
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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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Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Sarah Deitke shares how Duolingo scales AI adoption through engineering literacy programs and demonstrates how AI-driven code reviews reduced pull request merge times from 18 to 12 hours.
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Decision Models in Agentic Architectures: from Production to Agent Skills
Alex Porcelli explains how combining deterministic DMN decision models with agentic AI resolves enterprise AI challenges around accountability, rule governance, and non-deterministic logic.
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From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Cassie Shum shares lessons learned on using knowledge graphs as the foundation for agentic software systems, covering 4 key architectural patterns to optimize context, provenance, and team efficiency.
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How to Run on Three Clouds at Once, and When Not to
Ross McFarlane and Kevin Holditch explain how Form3 engineered a triple active multi-cloud architecture across AWS, GCP, and Azure to deliver ultra-resilient, regulatory-compliant payment systems.
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Accelerating Performance by Incrementally Integrating Rust into Existing Codebase
Lily Mara explains how engineering teams can achieve 100x function-level speedups and lower infrastructure costs by using PyO3 to incrementally refactor critical Python codebases into Rust.
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Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server
Felipe Huici discusses scaling microVM sandboxes for AI workloads, explaining how millisecond cold boots, high density, and stateful scale-to-zero achieve efficient, secure cloud isolation.
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Platform Engineering in the Age of AI
The panelists discuss how internal developer platforms adapt for AI-assisted engineering, balancing standardization, guardrails, and developer autonomy to shape next-gen platform engineering.
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A Solopreneur's Journey: from Engineer to Puzzle Master and Storyteller
Joe Cassavaugh shares how he built a $2M+ solopreneur game franchise. He discusses tech stack evolution, Unity refactoring, content pipelines, and building sustainable software.
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From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu explains why 95% of AI agents fail to reach production and shares how simulation-driven evaluation, synthetic users, and automated CI/CD testing unlock enterprise deployment.
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