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Is the agent harness dead? Jediah Katz explains that while models are absorbing coding skills via the data flywheel, the harness remains critical for infrastructure, security, and unlocking new, non-coding frontiers.
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AI agents are shifting from complex coding tasks to proactive 'assistance.' Engineers must focus on durable state management, structured output (Jev), and centralized connection gateways to build reliable, production-grade AI tools.
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The rise of AI agents has created a bottleneck: developers write 741% more code, but only ship 30% more software. The solution is moving review from line-by-line inspection to building automated, scalable review harnesses.
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A quarter of PRs reviewed by Greptile are now AI-generated. The talk compares agent code (Codex, Claude, Devin) to human code on bug rates and review cycles, finding unique failure modes for each agent.
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AI agents are democratizing software creation, but failure can occur when product context is missing. The shift requires Product Managers to become 'agent orchestrators' to manage the new wave of non-developer builders.
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AI adoption is constrained by trust, not capability. AIUC proposes a 'confidence infrastructure' using standards (AIUC-1) and insurance to manage risk across agents, models, and robotics.
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Exa provides a specialized search engine for AI agents, predicting that machine searches will exceed human searches by a thousandfold by 2026. It addresses the limitations of traditional recommendation-based search.
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Go-to-market must be treated as an AI engineering problem. The core thesis is that GTM is fundamentally a data problem, requiring the creation of a 'live model of your world' that autonomous agents can act upon.
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Datadog revealed how deleting years of AI context files improved agent performance, proving that 'context rot' is a real threat in large-scale LLM deployments. Learn about building eval platforms for code review.
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This session explores novel AI supply chain risks, detailing how attackers can compromise developers using hidden text in codebases and malicious prompts. We cover indirect injection, control sequence manipulation, and exploiting structured data formats.
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