Search: “agents”

Is this you? Or maybe one of your friends? We’re hiring our Founding Head of Operations to lead the opening of our first 5 restaurants in NYC. You will build the entire operations playbook that’ll be

Yohei Nakajima shares positive impressions of Cofounder 2, highlighting its well-designed UI/UX and expressing enthusiasm about exploring its features in greater depth, potentially through a follow-up

Large language models are becoming increasingly costly to develop and operate, creating a need for open-source alternatives that reduce dependency on expensive proprietary models and make AI more acce

my fav type of company - both pushing the cultural and technical frontier. @ylanrich has been obsessed with robotics restaurants for 10+ years - built a 5 fully-operational ones at 53% ebitda margin i

New from the LangSmith Signal: The vector space rapidly diversified since December. ✅ Managed cloud surged. MongoDB Atlas, Pinecone, + Qdrant tripled their combined share to 21%. ✅ Only 3 vector store

Security remediation is an engineering capacity problem. AI has collapsed the time to exploit, but defensive tools haven’t kept up. Today we’re introducing Devin for Security: a set of workflows for r

the cofounder 2 launch by @intelligenceco hits hard for me especially because this was the prompt i tried 3 years ago that turned into babyagi @jennyai I’m about 30 prompts/iterations in from this sta

Eridale is an initiative by Yohei Nakajima that combines AI and robotics to address universal food accessibility and improve dietary quality. The project aims to tackle malnutrition and food inequalit

We’re hiring! https://www.langchain.com/careers Companies I'd consider going to if I ever had the urge to try something new. 1 Thinking Machines Lab 2 OpenAI 3 Anthropic 4 Cursor 5 Applied Intuition 6

This post likely discusses Harrison Chase's preferred language model or AI system for handling coding tasks, potentially comparing different models' capabilities for programming work. As the creator o

You need feedback to help power the data flywheel! This 'feedback' can come from many sources: - direct user feedback (thumbs up/down) - indirect user feedback (code suggestions accepted) - llm as jud

@garrytan frames personal ai as the counter to extractive institutions: freedom to write your prompt and own your data. @hwchase17 made the same point from the dev side last month: if you don't own yo

LangChain, a framework for developing applications with large language models, is advancing its capabilities and features according to insights from Harrison Chase, one of its key figures. This post l

Yohei Nakajima highlights an impressive shader featured on a website's bottom-right card as an example of meticulous attention to detail in design and development. The post emphasizes how even small,

Yohei Nakajima shared an informal post on X expressing enjoyment in creating a video, likely showcasing a project or creative work. The post reflects a personal commentary on the creative process rath

Open sources harnesses powered by open source models I hear this take (usually from the model labs), but that will just mean more people turn to open source models, no? They’re already cheaper, if the

Our friends at the General Intelligence Company just launched Cofounder 2, the operating system for running the one person, billion dollar company. We recently sat down with Andrew to discuss what tha

see the talk version, out now thanks to @steveruizok https://x.com/aiDotEngineer/status/2050243598676013312 What if chat is the wrong interface for managing agents? In this talk, @steveruizok shows wh

Nous Research announced that Trinity-Large-Thinking, a new model from Arcee AI, is available for free on the Nous Portal for a limited one-week period. Users can access the model by signing up for the

This post discusses self-review capabilities in AI systems, where an AI model can evaluate and refine its own outputs before presenting them to users. According to Florian Jue from Listen Labs, this f

This post explores how the processes and tasks a company chooses to automate reflect its core understanding of its business and strategic priorities. By examining automation choices, one can infer wha

I hear this take (usually from the model labs), but that will just mean more people turn to open source models, no? They’re already cheaper, if they have similar performance (because they’re less coup

This post likely discusses open source AI and language models, potentially covering developments in model accessibility, licensing, or comparisons between proprietary and open source approaches. Given

the lock-in isn't the harness -- it's the context pipeline feeding it. whoever owns how repo state gets pulled, ranked, and compressed into the attention window owns the developer, regardless of model

This post from Harrison Chase (founder of LangChain) indicates that the LangChain team remains open to user feedback and continues iterating on their products and services based on community input. Th

The article discusses how the AI scaffolding layer—infrastructure tools and frameworks built around large language models—is experiencing consolidation and collapse, with LlamaIndex CEO explaining whi

This post is a casual expression of enthusiasm about Suno, an AI music generation tool, with the author impressed by its creative capabilities and playfully questioning the unexpected or surreal outpu

Harrison Chase, the creator of LangChain, commented on significant improvements made to the LangChain documentation, indicating that the docs have substantially improved compared to a previous version

Jerry Liu discusses how AI now generates approximately 95% of code, arguing that the era of orchestration frameworks has ended and been replaced by newer approaches to AI development and integration.

LangChain announced job openings and highlighted company growth through a careers page link, indicating the project was actively expanding its team. This post demonstrates LangChain's scaling phase an

Cognition AI announced an integration of Devin, their AI coding assistant, directly into terminal/shell environments, accessible via a Ctrl+G keyboard shortcut that allows the AI to view the user's cu

Fleet can now generate and render SVGs and Mermaid diagrams inline! Ask it to make you a diagram, and watch it work its magic. I'm using a mix of our GitHub tools, and @cognition's DeepWiki to make th

Jerry Liu considers whether llama_index should rebrand to 'applied automation co,' suggesting potential strategic discussions about the project's direction and positioning. This appears to be a casual

A user reported experiencing a false positive from their vehicle's driver monitoring system, which incorrectly detected their eyes as closed when they were actually open, prompting a humorous reaction

new mode for LangChain's human in the loop middleware: respond instead of running a tool, you can return the human's interrupt response directly as the tool's output handy for 'ask user' stubs or head

Devin CLI's shell integration documentation provides developers with guidance on integrating Devin's command-line interface into their shell environment for streamlined access to Devin's AI capabiliti

Building a document processing pipeline at scale is hard, and is one of the reasons that it's hard to DIY your own document OCR solution by relying on LLM APIs. Your orchestration pipeline needs to ha

Evinova, a separate health tech company within the AstraZeneca group, builds software that modern clinical trials run on. They put Devin to work on regulatory documentation, bug triage, tech stack mig

Falkor's new GraphRAG SDK just took #1 on GraphRAG bench and yes it's open source 😆 Token costs spiking. Responses too slow. Users don't trust the answers. All three are retrieval problems. GraphRAG S

Frameworks are dead. @jerryjliu0 of LlamaIndex called it — and then rebuilt the company around what actually matters: context. New episode of Beyond the Pilot: https://www.youtube.com/watch?v=HbXvX-Kt

Jerry Liu expresses gratitude to DeepLearning.AI for hosting an engaging event and humorously requests a laptop sticker as a memento. The post suggests Liu attended or participated in a DeepLearning.A

Jerry Liu discusses a key limitation of state-of-the-art large language models at AI Dev Day '26, highlighting that while modern LLMs excel at building applications, they struggle with fundamental tas

This post discusses the LangSmith UI dashboard that becomes available after deploying a project, which provides visualization and tracking capabilities for monitoring deployments. The dashboard allows

AI-Enabled Wellbeing & Social Fabric Systems Mental health expands into broader “life infrastructure” where AI connects people to communities, support systems, and purpose-driven activity. Instead of

Yohei Nakajima discusses the rapid pace of AI development and the challenge of determining what applications are worth building in this accelerating landscape. The post likely explores the opportuniti

Best “request for startups” list you’ll find AI is moving so fast, what should we even build? We're excited about the opportunity for AI to accelerate abundance, help us better understand each other,