Anders Swanson details how to build a real memory layer for AI agents, moving beyond context windows and scratch files. He outlines a system using multi-model databases, hybrid search, and governance controls for persistent, scalable recall.
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To own your agent's intelligence, focus on three questions: where it fails, how to reproduce it, and how to fix it. This requires building robust 'worlds' and 'tasks' that mimic production.
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Learn how Airbyte designed two interfaces—MCP and CLI—to make data actionable for AI agents. Discover best practices for building agent-friendly CLIs and understanding the trade-offs between MCP and CLI architectures.
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CoreWeave details its AI partnership with Aston Martin F1, showcasing how advanced data platforms and ML models are used to process everything from live telemetry to noisy radio chatter, enabling critical decisions in a high-stakes environment.
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Learn how to build low-latency remote robotics controls over 1,700 miles using Gemini and custom 3D web controllers. See how AI handles motor position scripting.
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Learn how to build sophisticated AI agents using the Codex App Server. This open-source JSON-RPC protocol provides deep control over the Codex harness, enabling custom tools and multi-threaded operations.
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IBM details its journey deploying sensitive AI workloads on CoreWeave, focusing on scaling H100/GB200 clusters and implementing 'federation first' identity controls to meet stringent security and compliance needs.
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Managed Deep Agents simplifies deploying mission-critical AI agents. It bundles the Deep Agents harness with managed LangSmith infrastructure, allowing developers to define, test, and deploy agents using the mda CLI.
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Stop re-prompting your coding agent. Instead, codify the rules you keep repeating into deterministic checks using linting. Learn how to keep APIs synced with the OpenAPI schema and manage qualitative code policies.
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The key goal was within this three-week sprint being able to have a measurable lift in performance and accuracy on this benchmark using the Neotron model postrained with the core weave dedicated inference platforms and .com web search team.
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If you think the speed of writing code is your problem, you have bigger problems. The true bottleneck in software is rarely the keyboard; it's usually Discovery, Review, or Deployment.
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Learn how to optimize AI compute capacity, control costs, and scale economically using CoreWeave's advanced capacity plans, Spot Instances, and the Mission Control platform.
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The podcast analyzes advanced AI topics, covering persistent agents (Dots), the implications of 722 AI-generated math manuscripts, and the technical architecture of Mixture of Experts (MoE) models.
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AI is making PRs bigger and more numerous, turning CI/Code Review into a bottleneck. Discover agentic validation: an automated system that reviews, autofixes, and auto-merges PRs, keeping your development velocity high.
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Why are static benchmarks failing? Felipe Blanes details the 'benchmark illusion' in AI agent development and introduces the 'eval flywheel'—a customer-driven process for building truly reliable products.
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Automattic shares its strategy for building AI fluency in a fully remote company. They advocate for two-week immersive programs, focusing on real project work and advanced topics like autonomous agents and MCPs.
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Discover how Gemma 4 enables powerful, private AI builds that run entirely on-device. Learn about deploying open models for robotics, remote data analysis, and offline coding.
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Running AI agents in production requires separating the 'brain' (LLM planning) from the 'hands' (deterministic harness). This approach treats agent harnesses as late-bound sagas, ensuring reliability and durability for complex, long-running workflows.
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Learn how to build domain-specific voice agents by fine-tuning ASR and LLMs. We cover low-latency architecture, WebRTC best practices, and advanced model customization techniques.
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Codex automates production monitoring, diagnosing checkout failures in Grafana and resolving Kubernetes OOM kills. Learn how AI agents accelerate incident response and integrate security checks.
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