Reading up on Cursor
100 deep · digging since nov 19, 25
- So long, Spokes: GitHub rewrites storage to restore reliability, just in time for agentic hordes
GitHub is rewriting its Git storage architecture, replacing the Spokes system with Azure Blob Storage to achieve a 35× write performance boost for agent-driven traffic.
- The Best Design for Agent GUIs
Effective agent GUIs place the agent's caret directly in the user's document, enable tracked‑change steering, and use comment‑anchored collaboration to balance user alignment with output.
- The state of the tech industry in 2026 - by Gergely Orosz
AI-generated pull requests now surpass human-authored ones on GitHub, signaling a shift to agent-driven coding, and engineers increasingly rely on parallel agent sessions while traditional IDEs lose relevance.
- Moe1177/cairn: A map of all your repos for coding agents: one index, one card per repo, an MCP server. Works with Claude Code, Codex, Gemini CLI and Cursor.
cairn scans local git repos to build a tiny always-loaded index and per-repo cards, enabling Claude Code, Codex, Gemini CLI, and Cursor agents to navigate multi-repo codebases efficiently.
- How to build an AI-native software factory - by Adam Faik
Measure where work stalls, deploy a bought agent on unwanted toil, then build only the needed platform—starting with a model gateway—to track merges and costs.
- everything is a ralph loop
The author claims that modern software development has shifted from incremental brick‑by‑brick coding to autonomous Ralph loops, enabling self‑healing, LLM‑driven software factories that render traditional programming obsolete.
- GitHub - rgodha24/walgithub at console.dev
walgit is a Rust-based Git server that uses object storage (S3/GCS) as the source of truth, enabling scalable, coordinated-free Git operations via Cursor's Continuity architecture.
- Blind constraints, not blind spots
AI application startups should target blind constraints—cross‑model capabilities that foundation‑model providers can't address—like Cursor, rather than chasing fleeting blind spots for sustainable advantage.
- GitHub - lemma-work/lemma-platform: The open-source workspace where humans and AI agents work as one team.
Lemma offers an open-source workspace where humans and AI agents collaborate as a team, sharing state, workflows, and permissions across apps and messaging platforms like Slack and WhatsApp.
- Meta Seeks Payoff From AI Spending With New Push for Business Customers - WSJ
Meta launches a new enterprise business unit to monetize its $100B+ AI investment by selling tools like Muse, coding tools, and business agents.
- If AI coding is lowering your code quality, you’re not managing quality right
With layered quality practices like spec-driven development and AI-assisted testing, coding agents can double output without increasing bugs.
- What Is an Agent Harness?
An agent harness is the execution layer around an LLM that manages loops, tools, context, and guardrails, turning model predictions into usable work.
- How I use LLMs to learn complex topics
The author uses LLMs to generate knowledge, verify it, and build low‑poly interactive simulations that let him learn complex topics like chip manufacturing.
- Do Frameworks Matter Anymore?
The author argues that even in the era of agentic programming, web frameworks still matter because they provide essential abstractions, structure, and constraints that improve AI-generated code quality and maintainability.
- How I manage my agents
The author describes a reproducible agent‑management workflow where markdown plans flow through drafts, next, open, done, and discarded folders, driven by coordinator agents and retro skill updates.
- Introducing Projects
Cursor introduces Projects, a coordinator‑driven feature that manages thousands of subagents to handle large, ongoing coding work and boosts developer productivity.
- Towards Self-Driving Codebases
The article argues that to achieve self‑driving codebases, teams must invest in agent‑friendly dev environments, global memory, and rot‑prevention primitives, allowing engineers to focus on high‑value ideas.
- Show HN: Copperhead – Cursor for circuit boards
Copperhead is a new open‑source editor that brings Cursor‑style AI assistance to PCB design, letting designers generate and edit schematics with natural language prompts.
- AIs as Modern Genies - Schneier on Security
AI agents, like mythical genies, execute literal instructions without grasping unstated context, leading to harmful outcomes that reveal the gap between requested goals and true human intent.
- Run cloud agents on machines you manage
Cursor now lets teams run its AI coding agents on self‑hosted machine pools they manage, keeping agent logic in the cloud while execution occurs on their own infrastructure.
- The Future Tech Role Is the Product Architect – akashyap.ai
AI agents are taking over coding, so the human role shifts to defining what to build, designing systems, and verifying outcomes—becoming the product architect.
- GitHub - tobi/walgit
walgit is a git server implemented as a single binary that runs in front of an object store (S3/GCS), requiring no local state beyond a cache.
- unslop — cursor/plugins
The article presents a step‑by‑step method called 'Unslop' for detecting and removing AI‑generated writing patterns while injecting human voice effectively.
- The Evolution of the Agent Harness - by Dan McAteer
The article argues that as AI models internalize agent harness capabilities, the remaining harness evolves into an interface for managing scarce human attention rather than directing model behavior.
- The asteroid currently hitting frontend web development
Frontend educators are stepping back as AI agents lower the risk of frontend code, shifting focus from developer experience to agent-friendly tools and performance.
- One Week of Building and Reviewing Code With LLM Agents
Logging a week of agent‑driven backend work, the engineer shows LLMs generated most code, isolated agents found real bugs, while multi‑tool agreement often missed defects.
- The Making of Cursor's Icons
The article details how Cursor's design team created its distinctive icon set, outlining their iterative process, inspiration sources, and the tools used to achieve a cohesive visual language.
- Cursor launches Origin, GitHub alternative
Cursor unveils Origin, a self‑hosted GitHub‑like platform that integrates AI‑powered code assistance to offer developers an alternative to traditional source‑hosting services.
- The next GitHub is not worth winning — David Poblador i Garcia
The author argues that most development work is ephemeral and should stay local, proposing a staging area where experiments remain on‑device until they merit pushing to GitHub.
- The cost of caring about software - Alex Rios Substack
AI reduces code-writing effort but shifts verification cost onto reviewers, creating an externality where comprehension debt rises despite faster generation.
- GitHub Outages Show the Limits of Reactive Scaling — Rahmi Pruitt
GitHub’s eight‑hour outage shows that reactive scaling fails when hidden concurrency limits are hit and client retries amplify demand, proving that agents need proactive traffic pacing.
- Git at any scale
Cursor argues Git’s packfile‑based design hinders scalable hosting and presents Continuity, a S3‑backed write‑ahead log system that enables linear, consistent replication.
- Git at any scale
Cursor explains why Git's packfile design hinders scalable hosting, reviews past solutions like Spokes, and introduces Continuity, a S3‑based write‑ahead log system that provides linearizable, elastically scalable Git storage.
- Cursor launches Origin code hosting platform as GitHub outage exposes opening in AI coding race
Cursor launched Origin, an AI‑native code‑hosting platform that mirrors GitHub, aiming to capture developer attention as GitHub’s reliability falters amid rising AI‑agent usage.
- The Shapes of Agent Memory – Files, Stores, and Experience
Structured stores beat file memory on accuracy and token cost; files win only for small memories or 'I don’t know' answers, and trained experience helps weak models only.
- ReplyHey: find your customers on Reddit
ReplyHey scans Reddit, X, and LinkedIn daily for problem statements matching your product, scores them, drafts personalized replies, and provides a rule‑respecting posting plan.
- Solo — AI marketing in chat or your own agent
Cogny Solo provides a free AI marketing chat with preloaded skills and a $9/mo unmetered MCP option to connect agents like Claude Code or Cursor for SEO and ads.
- Write for people
The author laments that auto-generated technical explanations are becoming overly verbose and unintelligible, arguing that simplicity and human effort in writing are essential for clarity.
- Introducing Grok 4.6
Grok 4.6 advances long-running agent capabilities and visual/interactive work, matching GPT-5.6 Sol on the AA Intelligence Index and launching in Cursor and Grok Build with 2x usage for the first week.
- AI is removing the middle class of software engineering
AI enables rapid code generation, allowing engineers with weak judgment to create unmaintainable systems faster, exposing and amplifying poor engineering practices until projects collapse under their own complexity.
- Import from another agent
ChatGPT and Codex now support importing setup and recent work from Claude Code, Claude Cowork, or Cursor via a guided flow that preserves existing configurations and enables sync.
- The model picker is a dead end
Lovable's model independence means deeply customizing instructions, tools, and context for each model rather than treating them as interchangeable, using a control plane to dynamically assign tasks based on real-time build progress and optimizing for working applications, not benchmark scores.
- Ryan Greenblatt – What happens once AI can automate AI research?
The discussion explores whether automating AI R&D could trigger recursive self-improvement, potentially yielding years of progress in months, with debate on verifiability, data bottlenecks, and alignment risks.
- BCMS - Headless CMS for developers and their clients
BCMS is a headless CMS enabling AI agents, clients, and developers to manage content via UI, API, or agents, with TypeScript generation, widget support, and integrations for Next.js, Nuxt, and more.
- GitHub - micro/mu at console.dev
Mu is an MCP server and web app that gives agents access to real-world tools like news, mail, and weather through a unified interface, with self-hosting and CLI support.
- GitHub - huangruiteng/loopx: Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs.
LoopX is a lightweight, agent-agnostic state kernel that manages long-running AI agent work by preserving objectives, gates, todos, evidence, quota, and handoffs across bounded turns.
- MCP Server | AppSignal
AppSignal's MCP server integrates with AI coding tools to deliver real-time performance insights, error tracking, and debugging support directly within developers' editors.
- IntelliJ IDEA Goes LSP: Java and Kotlin Intelligence Comes to VS Code, Cursor, and Agentic Flows - The JetBrains Blog
JetBrains released a preview extension bringing IntelliJ IDEA's Java and Kotlin intelligence to VS Code and Cursor via LSP, with free 30-day trials.
- Cursor: AI coding agent
Cursor is an AI coding agent that autonomously builds, tests, and reviews code across terminals, Slack, and GitHub while integrating top models.
- How we set up our cloud agent environment
Cursor rebuilt its monorepo to support cloud agents by matching local dev, simplifying the interface, and adding a self‑healing environment, boosting agent‑authored PRs from 10% to over half.
- The AI Aesthetic - Jim Nielsen’s Blog
The article explores emerging AI-driven design motifs—sparkles, streaming and shimmering text, tiny icons, beige/orange palettes—and questions which will become lasting UI conventions.
- Copper | shadcn
Copper is a macOS app that merges a to‑do list, clipboard, and scratchpad for AI‑assisted workflow, storing notes locally and costing $39 one‑time.
- How much can you delegate to agents? - by Jina Yoon
The article presents a practical framework for deciding how much autonomy to grant AI agents based on task checkability and undo cost, outlining four levels from assistant to self‑driving mode.
- DeepSQL - 24/7 DBA: Cut Database Costs, Optimize Queries, MCP + Slack
DeepSQL offers a self‑hosted AI agent that rewrites slow queries, recommends indexes, and delivers context‑aware SQL via MCP, CLI, and Slack to cut database costs.
- hilos · team chat where people and AI agents share the room
Hilos introduces a team chat workspace where AI coding agents act as first‑class members, automatically creating branches, previews, and pull requests for human review.
- Agent swarms and the new model economics
Cursor’s new agent swarm design builds SQLite in Rust with far higher success and far lower code size and cost than its earlier swarm.
- 5 Trends That Defined AI Engineering at World’s Fair 2026
AI engineering shifted from building with agents to building reliable systems around them, focusing on loop engineering, skills, and forward deployed engineers.
- Social Media Scraping APIs for YouTube, TikTok, Instagram, Facebook, X & LinkedIn
SocialKit provides a unified API that extracts transcripts, summaries, comments, and stats from YouTube, TikTok, Instagram, Facebook, X, and LinkedIn as clean JSON.
- The Making of Claude Code \ Anthropic
Anthropic shares the inside story of Claude Code's development from an internal CLI tool to a widely used coding agent, highlighting design decisions and team insights.
- Show HN: Smart model routing directly in Claude, Codex and Cursor
A smart model routing tool for Claude, Codex, and Cursor claims to reduce costs and improve speed by dynamically selecting the best model for each request.
- Skill engineering and the case against one-shot AI design
Paul Bakaus argues AI agents need “skill engineering” to give designers precise control, rejecting full automation in favor of human judgment steering the final 20% of creative work.
- The Pulse: a new trend, smart model routing - The Pragmatic Engineer
Several vendors now offer intelligent model routers that automatically select the cheapest sufficient LLM per task, promising 20-30% cost savings, a trend expected to become table stakes.
- Understanding is the new bottleneck
As AI agents write code faster than humans can review, understanding remains critical for creative participation, not just verification.
- Documentation · oak
Oak is a version-control and storage layer built for AI coding agents, offering branch-per-session workflows, lazy mounts for instant monorepo access, and full git export for data portability.
- What Active Rubyists Are Using in 2026: A Maintainer's Read of the RubyKaigi Survey - DEV Community
A maintainer's analysis of RubyKaigi 2026 survey data reveals that Ruby 4.0 adoption matches 3.4 within six months, Claude Code dominates at 80% usage, and VS Code/Cursor lead editors while mise/asdf challenge rbenv.
- Autoresearch: The feedback loop behind self-improving agents
Autoresearch uses outer loops with feedback signals and human input to let agents improve and maintain systems, reducing bottlenecks while keeping humans central.
- “It’s Hard to Eval” Is a Product Smell – Hamel's Blog
Products that are hard to evaluate programmatically are likely hard for users to verify, so design for verification first.
- Build from anywhere with Cursor for iOS
Cursor released a native iOS app in public beta that lets developers launch and control AI coding agents from their phone, with cloud agent support and remote control.
- Agentics / Tech Things: Tokenmaxxing is dead, long live tokenmaxxing
Tokenmaxxing was a deliberate strategy to force AI adoption at companies like Meta, and despite current rollbacks, it will return as agents achieve compounding correctness and loop-based workflows.
- Claude Code turned every engineer into three. Now companies need more product thinkers
AI coding tools like Claude Code have tripled engineering output, shifting the bottleneck from coding to product decisions, requiring engineers to focus on fundamentals and product thinking.
- hasp · model 01
Hasp is a local secret broker that injects credentials into coding agent processes without the agent ever reading the plaintext value.
- SpaceX to buy Cursor for $60B
Commenters debate Cursor's value at a $60B acquisition price, praising its model-agnostic agentic workflow and enterprise traction while others dismiss it as a commodity in a saturated market.
- API for Cursor - Cursor Composer in Any Coding Agent
API for Cursor is an open-source macOS app that exposes Cursor's Composer as a local OpenAI-compatible API for use in any coding agent.
- GitHub - millionco/react-doctor: Your agent writes bad React. This catches it
React Doctor is a deterministic scanner that audits React codebases for issues across state, effects, performance, architecture, security, and accessibility, and integrates with coding agents and CI pipelines.
Takes
Day 5/ Composer predictions in the desktop app. Often leads to a double take with how on point they are. Included in the Pro plans without consuming usage.
@thsottiaux
💰 Passed $10M/y in revenue + investment gains this year I've always been aggressively increasing my profit margins to as high as possible, especially the last few years, and especially this year where I've reduced my SaaS dependencies to just a handful of companies by vibecoding my own replacements It's now about 94.5% profit! Spend less -> lower costs -> more profit -> more money saved -> more money to invest -> more % returns on investments And at some point that investment return starts to pass by your business revenue which it has for me for about a year now Most of my investments have been simple ETFs like Vanguard S&P500, but also a few lucky stock and startup bets that worked out: Back in 2022, I couldn't get any available GPUs, so I thought it might be smart to buy Nvidia if there's such a shortage and that was a good bet too Then back in 2023 @dannypostma recommended me to invest in the companies we used for our AI inference for our photo AI apps, so I did that too. First I invested in @replicate and then also @FAL From then I just asked every app/service I used if I could invest, like @cursor_ai in 2025 which then got acquired by @spacex recently! My business revenue has remained very stable at about $200K-$250K/mo, but even with that investment returns have now surpassed that Investments fluctuate a lot so some years it's up some years it might be down a lot (who isn't expecting a big crash at some point?), and most investment gains are unrealized (I never sell!), so keep that with a big grain of salt! I keep my revenue/gains together with my profit margin and my sleep score in my situation monitor dashboard, as those are equally important :D Many people in the last decade told me to spend all my money, either personally or with my business to grow it, we don't know how that would have ended up, maybe my companies would be bigger, but I'm happy I did it in my own lean profitable healthy way and it ended up great I think! 🙏😊
@levelsio
ok everyone, i took one for the team here's the data we all wanted to see - real token value of each LLM subscription, empirically measured through usage on my real subscriptions - supergrok heavy has now become the highest value at $12k worth of tokens (40x ROI) - the $200 plan from openai and anthropic roughly give the same amount of token value, $7k give or take - cursor ultra's ROI is the lowest among mainstream subscriptions, roughly half of OAI or Ant. for individual consumers i'm afraid this no longer makes sense to purchase this was done in a clean environment. i ran each provider across 5 whole % points of my quota through repeated eval tasks in open source repos, and measured the total token value from all the agent sessions based on API pricing caveat 1 - this only measures their coding agent quota (which is the majority of the offered value), and does not include things like chat bot or grok bot caveat 2 - none of the providers commit to never changing this, so this is a snapshot of what the offering looks like today. i cannot guarantee it won't change again caveat 3 - the token value assumes you exhaust your subscription completely, which may not be realistic in real world usage
@kunchenguid
Just landed: /diff is now a persistent pane that you can scroll and click. It updates in real-time. For the times when you want to see the code without having to switch windows. Enjoy!
@bcherny
Since SpaceX acquisition of Cursor: Cursor Community --> renamed to SpaceX AI Community Cursor Ambassadors --> renamed to Grok Bot Ambassadors Café Cursor --> Cancelled Very clear that SpaceX is retiring the Cursor brand, pushing everything to be Grok / Grok Bot
@GergelyOrosz
Found a GitHub repo that gives your AI agent 50 marketing specialists for free. It's called marketingskills, built by Corey Haines, and it sits at 46,800 stars with 7,300 forks. The idea is simple. Skills are markdown files. Each one teaches an AI agent how to do one marketing job, with the frameworks and checklists a good marketer carries in their head. There are 50 of them, covering copywriting, CRO, cold email, pricing, SEO audits, A/B testing, churn prevention, ad creative, launch planning, referral programs, and the list keeps going. They're also wired together. One skill called product-marketing holds the context about your product, your audience, and your positioning. Every other skill reads that file first before doing anything. So the copywriting skill and the pricing skill work from the same understanding of what you sell. A few of them caught my eye. marketing-council spins up a simulated board of advisors so you get several expert takes on one question instead of a single answer. marketing-loops sets up recurring workflows an agent runs on a schedule without you re-prompting it. marketing-ideas is a bank of 139 ideas for SaaS products you can pull from when you're stuck. Installing is one command. It works with Claude Code, Codex, Cursor, Windsurf, and anything else that follows the Agent Skills spec. You type "help me optimize this landing page for conversions" and the right skill kicks in on its own. Is a folder of markdown files worth more than a $5,000 a month marketing hire?
@alex_verem
Maybe this motivates some of you to finally get started. This is the prompt that I used to start https://outbid.lol in Cursor. And as devs will probably catch, I used voice mode and it did not understand @shadcn UI 😂
@jonathan_wilke
Cursor Designer, Ryo Lu: "Right now I'm running 10-20 GrokBot agents that automate 90% of my routine I have a Chief of staff agent. He knows about all my other bots and manages everything" In a 20-minute podcast, a Cursor Designer explained how to build a team of GrokBot agents that will work for you 24/7 Worth more than a $500 course on agentic engineering Watch today, then read how to build a Grok agents team from scratch in article below
@maestrooth
Git at Scale (by cursor) has been one of the most interesting blog posts i've read in a while. It came right when I was frustrated with Shopify's internal git system. As an exercise, I've implemented it over the weekend as open source. It's a single rust binary that you can point at any S3 type object store. It uses WAL and CAS primitives and requires no other data store. It also implements bundle-uri so large git repos (like our mono) are very fast to download as a chain of static bundles. Also comes with basic familiar UX.
@tobi
the models have no moat (OpenAI, Anthropic, XAI) the IDEs have no moat (Cursor, Windsurf) the harnesses have no moat (Cognition, Factory, LangChain) the app builders have no moat (Replit, Lovable, Bolt) the wrappers have no moat (Harvey, Abridge, OpenEvidence) the inference providers have no moat (Together, Fireworks, Groq) the voice layer has no moat (Sierra, Decagon, ElevenLabs) the data labeling companies have no moat (Scale, Surge, Mercor) the AI infrastructure has no moat (Baseten, Modal, Railway) the neoclouds have no moat (CoreWeave, Lambda, Crusoe) the generative media companies have no moat (Runway, Higgsfield, Suno) apparently nobody in AI has a moat except the venture firm ☠️
@nikunj
Cursor has officially joined SpaceX. We’re grateful to become part of such a special company, and it has been a privilege working with the SpaceXAI team. Lots ahead.
@mntruell
I’ve been using it for ~2 hours and I’m absolutely blown away at how I could automate a bunch of my workflows. Cursor team built a way for “normies” to automate stuff. Feels like an OpenClaw 2.0 moment. (Zero affiliation, I upgraded to Ultra to use it and absolutely worth it.)
@GergelyOrosz
I got early access to Grok Bot and I'm hooked. I haven't been this excited about a new AI product in a while. It's like OpenClaw, but super easy, reliable, and less scary to use. I think this will be a huge new product line for Cursor/Grok/SpaceX. I've already found so many ways to use it that have meaningfully made my life better: 1. Matchmaking people looking for jobs with companies who are hiring (see below) 2. Auto-replying to support emails (saves me hours!) 3. Scanning my credit card statements and finding recurring subscriptions to cancel 4. Sending me (really good!) briefs for upcoming podcast guests See below for my actual set of agents that I've been using and chat with daily. Great work on this team Grok Bot. (I'm not an investor in this, nor do I have any ties to this product/company. I'm just a fan!)
@lennysan
Launching Copper, a Mac app for capturing things you want to keep and prompts you want to try next while working with AI. The more I use AI, the more I find myself collecting little things I don't want to lose. You're in ChatGPT and think, "I'll need this later," but you don't want to stop what you're doing. Then you're in Claude. Cursor. Chrome. Back to ChatGPT. Before long, you've got little things scattered everywhere. An answer you want to keep. A link. An idea. Or three follow-up prompts before the current one has even finished generating. I had this problem, so I built Copper. Copper combines the useful parts of a to-do list, a clipboard, and a scratchpad. It's built specifically for AI-assisted work. It sits next to where you work and is always one shortcut away. It works with all your AI apps, terminals and browsers. Whenever I find something worth keeping, I capture it. If I think of a few prompts while the AI is still responding, I type them into Copper. Then I send them back into ChatGPT, Claude, or Cursor and check them off as I go. Copper is local and private. It doesn't sync anything, doesn't collect anything, and doesn't need an account. I've used Copper every day for the past few months. It has completely changed how I work. If this feels like something you'd use, it's $39. One-time purchase.
@shadcn
Built this using Higgsfield + Cursor Composer 2.5 + my custom landing-page-design-skill.md file. It reminds me that models don't matter. Skills do.
@elayadesigns
Introducing Cursor Router, our intelligent model router that selects the right model for the task at hand. Router delivers frontier-quality results at 60% lower cost.
@cursor_ai
I made a prompting utility app. Like a prompting assistant. It works with all your existing apps, chatgpt, claude, cursor, web. It's been incredibly useful. I'm thinking about distribution (I think AI has made distributing the source much more interesting). If you buy it, would you rather receive A or B (poll in thread)?
@shadcn
SCOOP: Perplexity is quietly building an AI coding tool that takes on Claude Code and Cursor. It's meant to build software end-to-end. The tool is being used internally (for now) under the codename 'Teammate.'
@CharlesRollet1
This could well end quicker than most people assume, because coding agents in the cloud are coming, and they are coming fast, especially inside places like Cursor (I was in their offices yesterday, and local agents will prob go away soon as I read the room)
@GergelyOrosz
Introducing Cursor for iOS. Build from anywhere by launching always-on cloud agents. Or remotely control agents running on your computer from the app. Composer 2.5 is 75% off in the app now through July 5.
@cursor_ai
Last week, I spoke at @cursor_ai compile on the new PM, and what it means when anyone can build anything
@clairevo
Introducing /automate, a skill for agents to set up automations for you. Describe your task in plain language. Cursor configures the triggers, instructions, and tools.
@cursor_ai
.@mntruell launched Cursor 8 times, and nobody cared. Don't give up.
@marclou
anyone built a reliable system/solution for indexing and searching threads across claude code, codex, cursor..etc? All the built-in ones are not that great.
@shadcn
We're launching code storage and git hosting. Origin gives teams and agents a place to host, review, and collaborate on code. Available this fall. Join the waitlist. https://cursor.com/origin-waitlist
@cursor_ai
Building recursive agent systems
@leerob