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Cursor
AI-powered code editor designed to make developers extraordinarily productive through intelligent coding assistance
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The Good Stuff
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Origin App Marketplace
Origin’s App Marketplace now integrates with over 20 apps from partners including Cloudflare, Linear, Sentry, and Socket Security, covering deployments, CI, code review, security, monitoring, and project management. The marketplace is open to public submissions, allowing any team building developer tools to publish an app. To submit, developers create an app in their namespace, where it stays private while they build against the Origin API, and authenticate using an app JWT and installation access tokens. Apps receive webhook events and can write back check runs, pull request comments, and reviews. After making the app public, developers submit it with a slug, suggested tags, and a demo video showing install, uninstall, and core product flows; Origin reviews and lists approved apps.
Remote control for local agents
Cursor has introduced Remote Control, allowing users to view and interact with local agents running on their computer from the Cursor iOS app; agents appear in a list and users can tap one to see its activity or send a message. The feature is enabled by default for all users except Enterprise organizations; users tap their computer in the app and approve a pairing request in the Cursor desktop app. Agents remain running on the user’s computer, which must stay on and online; the app provides a “Keep this computer awake” setting to prevent sleep, and the computer must be plugged in with the lid open. Enterprise admins can enable Remote Control in Org settings under Security and identity. Remote Control does not rely on cloud agents and is available now in the Cursor iOS app.
Rollouts and Security Review
Cursor launched two bots for the last mile of shipping code: Rollouts and Security Review. Rollouts watches every change as it deploys and reports health per environment, with verdicts of verified healthy, regression detected, or inconclusive. It reads the diff and systems a pull request touches, writes a monitoring plan as a PR comment, and tracks deploy events per environment. Security Review reads every pull request in the context of the codebase and posts one review comment reporting exploitable bugs, including injection, authentication bypasses, and secrets. Both bots are available today on Teams and Enterprise plans, with usage credits for the next 10 days.
Cursor Projects
Cursor is launching Projects, a beta feature for taking on larger bodies of work such as features, migrations, and full applications. Each Project preserves context over months, runs on its own cloud computer through Cloud Agents, and coordinates parallel subagents rather than having the coordinator write code itself. Shared files synchronize across agents’ cloud and local machines, storing research, artifacts, codebase knowledge, and preferred working practices so later agents can use them. Projects can also subscribe to Slack channels, schedules, or pull requests and delegate work when signals arrive, while local agents handle testing that requires the user’s machine. Projects are accessible from Cursor’s left-hand navigation and are rolling out to all users in beta starting today.
Self-hosted machines
Cursor’s self-hosted machines keep tool execution inside an organization’s own network, leaving the codebase, build outputs, and secrets on internal infrastructure while the agent handles tool calls locally. The feature supports My Machines for connecting one laptop or VM and team pools that provide named queues of workers, with capacity expanding as requests arrive and contracting when workers disconnect. Pools are repository-independent, can hibernate idle machines, and can restore them within a reconnect window, avoiding the need to keep costly capacity warm. Cloud agents can run on infrastructure including AWS Lambda, Coder, Cloudflare, Daytona, Modal, Namespace, Vercel, and E2B, while Linux and Mac workers add computer use for clicking, typing, screenshots, and browser control.
Start from scratch, without a repo
Cloud Agents can now start without a connected GitHub or other third-party source-control provider. Selecting Start from scratch in the repo picker lets someone prompt the agent immediately, while Cursor creates an Origin repo in the background. When the build is ready, Create repo saves it as a fully scaffolded Origin repo with a custom or suggested name and private or internal visibility; the Codebase tab provides access to the project. Cursor also port-forwards the cloud agent’s live environment to the browser for previews and design mode, and connecting a Vercel account enables publishing to a live URL for what was built.
Cloud Agents and Cursor Harness Improvements
Cursor’s release expands cloud agents and the Cursor harness for longer-running, event-driven software work. Cloud agents can subscribe to pull requests, Slack threads, or scheduled tasks, wake on events, keep goals until completion, and automatically address CI failures and bot comments on pull requests they create. Custom modes pin a selected skill in chat, while /goal supplies a long-lived objective that can be paired with a custom mode or /loop. Subagents can run on separate virtual machines with isolated project copies and clean context, supporting fresh testing or parallel fixes without collisions. Steering improvements let users send follow-ups that wait for the next tool call instead of interrupting an action.
Origin Code Hosting
Cursor is rolling out Origin, an early-beta code-hosting service for all paid plans, except enterprise organizations whose admins opt out, with repositories, pull requests, code browsing, and GitHub synchronization. Origin-hosted repositories treat Origin as the source of truth: users push through the CLI, while GitHub is not involved; GitHub-synced repositories instead keep GitHub authoritative and mirror changes to Origin in real time. Each repository includes pull-request timelines, commits, checks, file diffs, comments, reviews, and merging, with synced pull requests updating between Cursor and GitHub within seconds. Cursor also places agents alongside code and PRs, allowing them to answer questions, make changes, update pull requests, or push branches, while Vercel, Depot, and Buildkite integrations add preview deployments and CI options.
Firetiger joins Cursor
Cursor announced that the Firetiger team is joining the company, bringing together coding agents with agents focused on software after it reaches production. Founded in 2024 by Rustam Lalkaka and Achille Roussel, Firetiger builds agents that monitor rollouts, catch regressions, investigate incidents, and pass findings back to coding agents. The stated motivation is to reduce operational toil and connect code generation with production feedback, so an agent can ship a change, observe its behavior, and respond when something goes wrong. Firetiger’s work is expected to appear across Cursor as the companies develop long-running, autonomous, context-aware agents for teams, alongside Cursor Origin and the forthcoming Change Monitors, which will watch deployed changes and flag problems as they appear.
Cloud agents start 3x faster with builds
Cursor introduces builds for Cloud Agents, continuously prepared copies of development environments that replace just-in-time machine boot, repository cloning, dependency installation, and install-script execution. Builds run by default every hour; successful builds become the starting point for future agents, which fork warm live machines rather than restoring environments from disk. The post reports 10x faster internal environment boot times and 3x faster time to first token, while customers cite quick starts and uninterrupted automated runs when builds fail. If a dependency bump or Docker build breaks installation, the failed build stays inactive and sessions continue from the last successful version while debugging proceeds. The Cloud Agents dashboard exposes build status, logs, captured commit SHAs, and run-to-build links, while a git-state threshold and Cursor Cloud MCP support oversight; setup requires moving preparable work into install and reserving fresh services for start.
Cursor earns AIUC-1 certification for agent security and reliability
Cursor announces that it has earned AIUC-1 certification after an independent review of its organizational controls and agent behavior. AIUC-1 combines an organizational-controls audit with adversarial product testing, translating the NIST AI Risk Management Framework, MITRE ATLAS, and OWASP’s agentic threat taxonomy into requirements for live AI systems. Schellman reviewed documented controls and AI governance practices, while evaluators tested IDE and cloud agents in a representative enterprise configuration across several thousand scenarios and two rounds. Testing covered rules, hooks, Auto-review, model-level safeguards, secrets protection, secure code generation, MCP security, identity and permissions, and potentially destructive actions. Cursor says its safeguards held in benign and adversarial conditions, with certification requiring quarterly testing and an annual full audit as AIUC-1 evolves.
Cloud Agents Start 3x Faster with Builds
Cursor’s Cloud Agents now use Builds, ready-to-use copies of a development environment prepared in the background. These environments include cloned repositories, installed dependencies, and completed install commands, allowing agents to start without repeating setup each session. Cursor refreshes environments regularly, keeps warm copies, and activates only successful builds; internally, environments boot 10x faster and time to first token is 3x faster. If a commit or dependency update breaks a build, the last successful build remains active, while users receive a notification and can debug in the background. Builds can be inspected in the Cloud Agents dashboard, where logs, commit SHAs, statuses, and agent run associations are available, with tools for agents to inspect or manage them.
Introducing Grok 4.6
Grok 4.6, released with SpaceXAI, is presented as a model for long-running agents and ambitious interactive, visual, coding, and knowledge-work tasks. It builds on Grok 4.5 through a longer supplemental training run using curated model-generated reasoning and technical data, an improved optimizer and training recipe, regenerated SFT trajectories, model-based filtering, and agentic reinforcement-learning tasks across several environments. The release says Grok 4.6 matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index and reports stronger first passes, sustained multi-step work, self-testing, and iterative refinement for working projects. It is available in Cursor, Grok Build, the SpaceXAI API, and through OpenRouter, Vercel, and Cloudflare, with pricing from $2 per million input tokens and $6 per million output tokens, while a fast variant costs twice as much.
How Cursor Router chooses the right model for the task
Cursor Router selects models for developer turns using production behavior rather than benchmark scores, balancing user satisfaction and cost. Its routing system first uses Compass, a continuous 0-to-1 complexity predictor trained on follow-up behavior, to keep simple turns on a price-efficient model or upgrade complex ones. Then a taxonomy of domains, tasks, and modifiers compares frontier-model strengths, while an optimizer applies a one-sided 75% uplift threshold and each mode's cost budget. The dataset contains hundreds of thousands of live Cursor turns, preserving conversation signals, model-switching effects, inferred performance from subsequent user actions, and token-based costs including cache misses. Current results report Auto Intelligence at above Fable-level satisfaction with 68% lower cost, and Auto Balance outperforming Opus 4.8 at 41% lower cost while raising satisfaction by 3%.
Mixture-of-Kittens: our open-source MoE megakernel for NVL72s
Mixture-of-Kittens (MoK) is an open-source production mixture-of-experts (MoE) training megakernel designed for GB300 NVL72 systems, where the MoE layer had become a major training bottleneck and could consume more than half of end-to-end training time. It redesigns the layer around a single fully deterministic kernel that fuses communication and computation, minimizing CPU work and CPU-GPU synchronization while overlapping operations across the 72-GPU NVLink domain. The post describes target-specific scheduling, push-versus-pull communication choices, pipelined expert computation, ring token buffers, megakernel structure, determinism, and MXFP8 support for DeepSeek-V3-style layers. Across four model shapes, MoK is reported as up to 2.37x faster for MXFP8 forward and 1.78x for backward, while production training on 512 GPUs reached 1.41x tokens per second versus a DeepEP-based implementation. MoK is fully open-sourced and intended to remain modifiable for other platforms.
How we set up our cloud agent environment
Setting up a cloud-agent environment for the Cursor monorepo required treating development infrastructure as a product for agent users. The team aligned cloud VMs with local development by adapting utilities and setup scripts for Ubuntu, adding dependencies to a Cursor-defined Dockerfile, and introducing security controls for secrets and network access. To make the repository easier to operate, it built anydev to start services, route utility scripts, explain subcommands, and supervise long-running builds. Cursor Cloud MCP and Cloud Doctor then inspect environments, distinguish transient from salient failures, perform root-cause analysis, open high-confidence fixes, and improve workflows using traces. The resulting end-to-end testing and recorded demos helped cloud agents grow from about one in ten merged PRs in December to more than half, with the post identifying tool parity, documented skills, and core-workflow verification as readiness checks.
Cursor, now on iPad
Cursor is now available on iPad for all paid plans, extending its mobile workflow for creating, reviewing, and merging pull requests. The iPad layout uses the larger display with pinned sidebar chats, split-screen review alongside chat, full-file diffs, and expanded markup that supports screenshot comments and Apple Pencil drawing. On both iPhone and iPad, the review screen covers the full PR, including comments, checks, approvals, reviewer changes, and prompts to an agent to resolve comments. An Inbox organizes active work, attention items, and PRs under review, while additional updates add Bitbucket and Azure DevOps SCM support, multi-PR sessions, and in-app switching between teams.
How Vercel used Cursor to build Queues
Vercel built its durable event streaming system, Vercel Queues, entirely with Cursor, using agents across three rewrites and validating changes against real AWS environments. Engineers had agents work on the Queues API, connect to AWS, inspect DynamoDB and Kinesis side effects, inject faults, simulate bugs, and verify results, while Cursor retained context through long sessions and compaction events. The workflow also supported model switching, parallel planning agents, inline review, stacked PRs, and asynchronous Cloud Agents. Among Vercel’s Cursor power users, PR throughput increased 54%, PR cycle time decreased 89%, resources per feature fell 27%, and the company reports 104 hours saved per developer annually. Product managers also use Cursor for repository analysis, product analytics, and small fixes without drawing on engineering resources.
Introducing Cursor Start
Cursor has launched Cursor Start, a monthly plan for developers in India priced at ₹649, with tax included and payment through UPI or card. The plan responds to requests for India-specific pricing and UPI support, and follows a reported tripling of Cursor’s Indian user base to more than 3M developers, making India its third-largest market globally. Start provides generous access to Grok 4.5 and Composer, more agent requests than the Free plan across desktop, web, iOS, and CLI, plus always-on cloud agents, Cursor for iOS, and workflow extensions through plugins, MCP servers, hooks, and skills. It sits between Free and Pro, offering everyday building capabilities while Pro adds broader model access and features such as Bugbot, Auto mode, Automations, and the Cursor SDK.
Cursor Router
Cursor Router now powers Auto mode, analyzing each request by task type and complexity before sending it to a suitable model. Frontier models handle demanding work, while price-efficient models handle other requests, with Cost, Balance, and Intelligence modes defining different positions on the cost-intelligence pareto frontier. Cost optimizes token spend, Balance targets strong quality, and Intelligence targets frontier quality; Balance and Intelligence bill at the routed model’s rate. Admins can enable routing by team or group, restrict modes, set defaults, allow or block underlying models, use soft or hard enforcement, and choose whether to display the routed model, while the feature is available across desktop, web, iOS, CLI, and the SDK and is on by default for Teams plans.
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