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Explores the idea that AI's true impact is not replacing jobs but scaling expertise by removing bottlenecks, citing tools like Perplexity, GitHub Copilot, and Rilla.
Executor, an open-source MCP gateway that connects AI agents to various services, announces its YC S26 batch joining and highlights recent milestones including 2,000 GitHub stars and multiple feature releases.
10 design reference websites to help AI enhance its aesthetic sense for AI-generated content.
A speculative article discussing what tools and infrastructure would be necessary if most people interact with digital services through AI agents instead of directly.
Modal explains the complexities of building performant sandbox systems beyond initial container boot and shares tools for lifecycle management.
This article explains the concept of loop engineering in AI agents, emphasizing that the core loop is trivial but the critical work lies in the harness around the model, including knowing when to stop and preventing context rot.
Bluerails Discovery provides infrastructure for AI agents to find and pay users.
Introduces the combined use ideas of five free and open-source OSINT tools (Blackbird, Maigret, SpiderFoot, theHarvester, Shodan Python), covering scenarios such as people search, company search, device search, and provides practical cases and installation methods.
Introduces multiple web scraping tools, including yt-dlp, FxTwitter, get笔记, etc., for scraping content from different platforms.
Introduces the Awesome LLM Interpretability resource collection, which gathers various interpretability tools, papers, and community resources to help understand the internal workings of large language models.
A curated list of prompt engineering resources including papers, tools, courses, and communities for working with large language models, maintained by PromptSlab.
Bcachefs-Tools 1.38.6 has been released with many performance improvements including lockless journal flushes, btree optimizations, and improved sharding. It also supports up to 255 storage devices per filesystem and offers Ubuntu 26.04 LTS packages.
The article discusses the concept of adding a network layer to AI agents, building on existing tools and vector stores to enable better coordination and communication among agents.
This article introduces four open-source RAG/knowledge base tools (FastGPT, LLM Wiki, llm-wiki-agent, OpenKB) and provides selection suggestions suitable for building enterprise or personal knowledge bases.
Explores the trend of AI agents autonomously spending money to complete real-world tasks like purchasing services, booking resources, and running ads without human approval.
Mike Rugnetta discusses his indispensable creative tools, including his RME audio interface and Sony headphones, and highlights the underappreciated importance of reliable power after dealing with brownouts in his studio.
This article discusses the differences between the three working modes of Goal, Loop, and Workflows in Claude Code, noting that most users interact with Claude Code in a one-question-one-answer fashion, like a fast-responding assistant.
A curated list of platforms, tools, models, hardware, and resources for running large language models locally, hosted on GitHub.
The article proposes that in a Coding Agent, tool invocations should be treated as contracts rather than simple functions, emphasizing the Harness's adjudication role in verification, permissions, lifecycle management, and others, and discusses in detail the composition and lifecycle of tool contracts.
This video explains the concept of an AI agent harness: the LLM core, memory, tools, and the loop that enables iterative decision-making toward a goal.