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Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure
Matthew Liste shares 12 core principles for building resilient, enterprise-scale platforms. Learn how to balance velocity, reduce technical debt, and build systems engineering teams rely on.
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Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang shares how Elastic built a production-grade AI agent evaluation framework, detailing lessons on tracing, LLM-as-a-judge, programmatic evals to prevent regression across engineering teams.
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Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani explain how DoorDash built and scaled an enterprise GenAI platform, revealing key architectural bets, pivots, and operational principles driving real business impact.
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Managing Asynchronous APIs at Scale
Ian Cooper explains how to scale event-driven architectures by managing asynchronous APIs with AsyncAPI, schema registries, and spec-driven infrastructure provisioning.
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Beyond Observability: Evolving Production Operations in the Age of AI
The panelists share how AI and automation reshape production operations, turn system data into actionable insights, and change architectural practices for modern, complex software delivery.
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Keeping the Mainline Green across Diverse Language Monorepos
Dhruva Juloori shares how Uber keeps monorepo mainlines green using SubmitQueue. He explains how conflict analysis, probabilistic speculation, and ML reduce CI resource usage and speed up landings.
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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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