Harness Management

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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.

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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.

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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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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.

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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.

We just launched Xirp, a vendor-neutral agentic development environment. One place to manage agent sessions across @ClaudeDevs, @GeminiApp CLI, and @OpenAI Codex. 1,300+ @Spotify engineers already use it. Now it's available for you to try. Learn more at https://t.co/Hwo8Qqx4OI.

La Roca transforms your development environment into an agentic ecosystem where your agents can write history that often goes unread. It emphasizes a local, secure setup with a single file and no dependencies, enhancing both personal and agent performance.

This page discusses the essential decisions involved in designing an agent harness that allows a model to operate independently. It outlines six key considerations that can transform a model into a self-sufficient worker.

This page discusses the concept of switching coding agents mid-task while maintaining semantic state. It emphasizes the importance of ensuring continuity in coding processes without losing context.

This page discusses a method to significantly reduce agent tokens by 2.7 times using an open harness. It provides insights and practical tips for implementing this technique effectively.

This page discusses the concept of Graph Engineering and emphasizes the importance of not chaining agents together. It aims to provide insights into optimizing agent interactions for better performance.

This page outlines a comprehensive 14-step roadmap for becoming a Graph Engineer using the Kimi K3 course. It provides insights and resources for individuals looking to enhance their skills in graph engineering.

This page provides comprehensive insights into agents, loops, and graphs, serving as a one-stop resource for understanding these concepts. Explore various applications and theories related to these topics to enhance your knowledge.

Anthropic has released a new prompt audit skill that is currently trending on GitHub with 174k stars. This tool is designed for vibe-coders, helping them identify issues in prompt files by asking critical questions about the model's knowledge.

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This page discusses the concept of Trace Engineering, focusing on the observability architecture necessary for autonomous AI agents. It highlights the importance of monitoring and understanding AI behavior to ensure effective and safe operations.

This page discusses a full course on building AI agents, based on methodologies from Anthropic's playbook. It aims to provide insights and practical guidance for developers interested in AI agent creation.

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This page discusses the Minimal Ontology Principle and its implications for enterprise AI platform engineering. It explores the concept of ontological convergence and how it relates to the challenges faced in ontology engineering.

This page discusses an open-source runtime security layer designed for AI agents that can call tools, execute shell commands, modify files, and interact with production systems. It highlights the challenges teams face in reconstructing agent actions from logs when issues arise.

This page features a tweet by Akshay discussing the importance of runtime security for agent harnesses. It includes a link to further resources or insights on the topic.

This page features a tweet by Akshay discussing a self-repairing agent harness. It highlights innovative technology that enhances functionality and reliability.

This page discusses the integration of open-code-review with deepseek-harness, highlighting the evolving architecture and the shift away from relying solely on LLMs for code review processes. It emphasizes the importance of deterministic pipelines and the role of agents in managing code reviews effectively.

This page discusses the Master Agent Architecture, focusing on how it integrates Harness, Loop, and Graph Engineering. It aims to provide insights into the unification of these engineering concepts for enhanced performance and efficiency.