Harness Management

Eyad shares a link on X, inviting followers to check it out. The post includes a URL that may lead to additional content or information.

CyrilXBT shares a link that likely contains important insights or updates. The content is focused on cryptocurrency discussions and trends.

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A project-based course on designing the environments, state, verification, and control systems that make Codex and Claude Code reliable. This course aims to provide learners with practical skills in engineering and system design.

DegenCalls on X provides timely updates and insights related to cryptocurrency trading. Follow for the latest calls and market analysis to enhance your trading strategies.

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Ryan Lopopolo's anthology, field guide, and agent context bundle for harness engineering provides valuable insights and resources for professionals in the field. This repository serves as a comprehensive collection of knowledge and tools to enhance understanding and application of harness engineering principles.

This post by CyrilXBT compares the time spent on manual tasks versus automated processes in various activities such as morning briefs, weekly reviews, and meeting processing. It highlights significant time savings achieved through automation.

This page discusses the findings of two researchers who replaced expensive human grading with a cost-effective model, revealing significant inconsistencies in AI judgment. It highlights the importance of robust evaluation engineering to improve AI reliability and prevent flawed decision-making in automated systems.

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Anatoli Kopadze shares a link on X, directing users to additional content. The post highlights a specific URL for further engagement.

Y Combinator introduces new features including triggers, memory, shared files, and connectors for a company brain. This experimental tool aims to enhance collaboration and productivity, and feedback from the community is welcomed as it is still in early development.

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Andrew Ng has released a free 1-hour course focused on constructing agentic knowledge graphs from raw data, enabling AI agents to utilize structured memory. The course covers essential topics such as understanding agentic knowledge graphs, building your first graph, and architecting multi-agent systems.

Rohit discusses the common debate of which framework to use in software development. He presents a layered approach to tech stacks, emphasizing composability and invites users to engage with visual content for deeper understanding.

This page discusses the importance of retrieval quality in context engineering, emphasizing that cognitive work should occur during data ingestion rather than at query time. It highlights insights from Karpathy on structuring knowledge effectively before retrieval.

This page provides a comprehensive overview of agents, loops, and graphs, offering essential insights and knowledge in one convenient location. Perfect for learners and professionals looking to deepen their understanding of these fundamental concepts.