---
title: "Cursor"
description: "76 posts about Cursor, summarised, each linking to the original."
---

# Cursor
> 76 posts about Cursor, summarised, each linking to the original.

## Articles

### [Introducing Cursor for Enterprise](https://yomu.fyi/post/introducing-cursor-for-enterprise.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Cursor
- Published: Oct 31, 2025
- Type: Announcement

Cursor is introducing enterprise features intended to make its coding agents more capable, transparent, and secure for organizations already using the product. Hooks expose the agent loop to custom scripts that can log actions and tool calls, enforce compliance or command allowlists, scrub sensitive material, connect external systems, and trigger automations; they can be distributed through MDM or Cursor’s cloud option. Team Rules provide shared context and can recommend or require standards such as API schemas, conventions, and workflows, while upgraded analytics report activity, adoption, AI lines of code, directory-group filters, and exportable data with updates every two minutes. The release also adds an Audit Log covering 19 event types and Sandbox Mode, which restricts network and file access by default, with administrators controlling availability and team-wide Git and network access.


### [Introducing Cursor 2.0 and Composer](https://yomu.fyi/post/introducing-cursor-2-0-and-composer.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Cursor
- Published: Oct 29, 2025
- Type: Announcement

Cursor 2.0 introduces Composer, described as the product’s first coding model, alongside an interface designed for running multiple agents in parallel. Composer is built for low-latency agentic coding, completes most turns in under 30 seconds, and was trained with tools including codebase-wide semantic search to improve work in large codebases. The new interface centers on agents and outcomes rather than files, while still allowing users to open files in a redesigned layout or return to the classic IDE; parallel runs are isolated through git worktrees or remote machines. The release also targets review and testing bottlenecks by simplifying change inspection and adding a native browser tool that lets Cursor test its work and iterate, and Cursor 2.0 is now available.


### [Improving Cursor Tab with online RL](https://yomu.fyi/post/improving-cursor-tab-with-online-rl.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Jacob Jackson, Phillip Kravtsov & Shomil Jain
- Published: Sep 12, 2025
- Type: Explainer

Cursor Tab predicts developers’ next actions across their codebases and handles more than 400 million requests per day, creating a large stream of accepted and rejected suggestions for training. The post describes replacing a separate acceptance filter with policy-gradient reinforcement learning, allowing the model to learn when to suggest and when to remain silent while reusing its learned code representation. An illustrative reward assigns 0.75 to an accepted suggestion, -0.25 to a rejected one, and 0 to showing nothing, targeting suggestions whose estimated acceptance chance is at least 25%; the production reward also considers suggestion size and jumps to other code locations. Because policy-gradient updates require on-policy data, each new checkpoint is rolled out to users; the current deployment-and-collection cycle takes 1.5 to 2 hours, and the resulting model makes 21% fewer suggestions with a 28% higher accept rate.


### [Bringing the Cursor Agent to Linear](https://yomu.fyi/post/bringing-the-cursor-agent-to-linear.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Rohan Varma
- Published: Aug 21, 2025
- Type: Announcement

Cursor has introduced a Linear integration that lets teams delegate issues to @Cursor by assignment or comment mention, then runs a background agent with issue details, comments, and linked references as context. Teams can also define triaging rules that automatically assign selected tasks and review agent diffs and pull requests from Linear. After connecting a Linear team through Cursor’s integrations page, users assign an issue or mention @Cursor; the agent analyzes it and notifies users when the work is complete and a pull request is opened. Cursor says its team uses the workflow for thousands of customer-feedback, feature, and bug tasks, including a product-bug and feedback triage rule. According to the post, the agent now drafts pull requests for thousands of issues and can one-shot many of them.


### [Cursor Agent CLI](https://yomu.fyi/post/cursor-agent-cli.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Lukas Möller, Ian Huang & Balta Ruiz
- Published: Aug 7, 2025
- Type: Announcement

Cursor has made its Agent available through a command-line interface (CLI) and in headless environments, extending it beyond the editor, web, mobile, and Slack. The release targets customers using Neovim, JetBrains, and other IDEs, while allowing Agent to run alongside those tools or as multiple parallel agents in a terminal or remotely. The CLI supports any model included with a Cursor subscription, and users can start it after installing with curl https://cursor.com/install -fsSL | bash and invoking agent chat with a prompt. Agent can generate files, run terminal commands, search a codebase, and now read, modify, or delete files and execute approved shell commands. The CLI is in beta, with evolving security safeguards and use limited to trusted environments.


### [GPT-5 is now available in Cursor](https://yomu.fyi/post/gpt-5-is-now-available-in-cursor.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Aman Sanger
- Published: Aug 7, 2025
- Type: Announcement

Cursor has made OpenAI’s GPT-5 available to users, presenting it as a coding-focused model based on an initial internal evaluation. Five engineers report using it for long-running tasks with Background Agents, parallel foreground agents, complex debugging, and Stripe-query latency optimization, while noting that explicit instructions improved its steerability. One engineer adjusted GPT-5’s verbose default style and follow-up behavior through rules. In a monorepo with separate frontend and backend submodules, GPT-5 built a backend API endpoint and corresponding React component, regenerated protobufs, and corrected resulting type errors in one shot. During launch week, paying users receive free credits, and the announcement characterizes GPT-5 as well suited to coding and tool calling.


### [Bugbot is out of beta](https://yomu.fyi/post/bugbot-is-out-of-beta.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Jon Kaplan, Lee Danilek & Rohan Varma
- Published: Jul 24, 2025
- Type: Announcement

Cursor has released Bugbot, a code review agent that automatically analyzes pull-request changes for logic bugs, edge cases, and security issues before production. It runs automatically on pull requests, gathers context from changes to understand code intent, and comments detected issues directly where they occur. Teams can steer reviews with custom BUGBOT.md rules, then send flagged issues to Cursor or launch a background agent on the web with one click. During its beta, Bugbot reviewed over 1 million PRs and found over 1.5 million issues; more than 50% of identified bugs were resolved before merge. Cursor also reports adoption by several companies, with testimonials citing review-time savings, strong bug detection, and confidence reviewing AI-generated code.


### [Clarifying our pricing](https://yomu.fyi/post/clarifying-our-pricing.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Michael Truell
- Published: Jul 4, 2025
- Type: Announcement

Cursor acknowledges that its individual-plan pricing changes were communicated poorly and says the rollout damaged user trust. The revised Pro plan includes unlimited Tab and Auto usage, $20 of monthly frontier-model usage at API pricing, and the option to buy additional frontier usage at cost; a spend limit is available for users who do not want Auto. The company says it replaced a 500-request monthly allowance with usage credits because token costs vary substantially across models and tasks, while Auto routes requests among frontier models based on capacity. It clarifies that unlimited usage applies only to Auto, estimating the included Pro pool covers about 225 Sonnet 4, 550 Gemini, or 650 GPT 4.1 requests at median usage. Users with unexpected charges from June 16 through July 4 can request full refunds, alongside promised clearer notices, documentation, and dashboard visibility.


### [Cursor on web and mobile](https://yomu.fyi/post/cursor-on-web-and-mobile.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Andrew Milich & Jason Ginsberg
- Published: Jun 30, 2025
- Type: Announcement

Cursor announces that its Agents are available on the web and mobile, extending the IDE-based agent to desktop, tablet, and mobile browsers. Agents can run bug fixes, build features, answer complex codebase questions, and scaffold work in the background, while users can include images, add follow-up instructions, and run multiple agents in parallel. Repository-access team members can review diffs and pull requests or create pull requests from the web interface; the service can also be installed as a Progressive Web App on iOS or Android. Slack integration sends completion notifications and lets users trigger agents with “@Cursor,” and work can later be reviewed, extended, or edited inline in Cursor on a laptop.


### [How I Improved My Productivity with Cursor and the Heroku MCP Server](https://yomu.fyi/post/how-i-improved-my-productivity-with-cursor-and-the-heroku-mcp-server.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Julián Duque
- Published: May 5, 2025
- Type: Tutorial

Cursor is presented as the author’s primary AI coding companion, with inline suggestions, quick edits, and agentic features supporting coding, testing, design, and deployment from one editor. Connecting it to Heroku through the Model Context Protocol (MCP) enables an assistant to deploy apps, scale dynos, fetch logs, and update configuration without opening the Heroku dashboard or terminal. The article explains MCP’s host–client–server model and gives Cursor setup configurations for the Heroku MCP Server, LangChain MCPDoc, and Figma MCP Server, including required Heroku authorization and tool commands. It reports that this workflow reduced context-switching, saved minutes on tasks, reduced errors from recalling commands, and helped the author stay focused while building and deploying demos.


### [Did Semgrep Just Get A Lot More Interesting?](https://yomu.fyi/post/did-semgrep-just-get-a-lot-more-interesting.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Feb 10, 2025
- Type: Explainer

Thomas Ptacek considers whether LLM-driven coding agents could make Semgrep more useful by closing the loop between code generation, execution, and automated repair. He describes Semgrep as a semantics-aware code-search tool whose symbolic variable placeholders and ordinary code can express vulnerability patterns, while noting that teams rarely have time to build extensive rule libraries. Drawing on Cursor’s rules feature, including rules that help organize or generate other rules, he proposes having an agent observe runtime errors, generalize fixes into unit tests, and generate Semgrep rules for the underlying bug. The proposed workflow would test each rule with positive and negative controls, save it, scan the codebase, and fix newly found instances. The post concludes that this adaptive process may be more compelling than predicting every failure in advance.


### [A new Tab model](https://yomu.fyi/post/a-new-tab-model.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Phillip Kravtsov & Jacob Jackson
- Published: Jan 13, 2025
- Type: Announcement

Cursor announces Fusion, a next-generation model for Cursor Tab, which predicts edits near the cursor and “jumps” to likely next editing locations. The post positions this as a response to the limits of cursor-only text insertion, with a broader goal of reducing code-editing tedium and moving toward in-flow Next Action Prediction. Compared with the March 2024 model, Fusion predicts over 25% more difficult edits per line, suggests over 10x longer change stretches, cuts median server latency from 475ms to 260ms, expands context from 5,500 to 13,000 tokens, and adds instant, accurate cursor jumps. These gains are attributed to cleaner and larger datasets, longer editor-state prompts, training for larger edits, synthetic instruction-following data, and inference and performance improvements. Fusion is rolling out to all users in client release 0.45.0.


### [Supermaven joins Cursor](https://yomu.fyi/post/supermaven-joins-cursor.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Michael Truell
- Published: Nov 12, 2024
- Type: Announcement

Cursor announces that Supermaven, a fast, context-aware coding copilot, is joining the company, bringing creator Jacob Jackson and the Supermaven team into the effort. The post says the combination is intended to accelerate development of a more useful product built around purpose-built models, a tailored editing experience, and other product ideas. It anticipates product improvements, including a future version of the Tab model designed to be fast, context-aware, and highly intelligent during sequences of long changes. The Supermaven plugin will remain maintained, although Cursor will be the team’s core focus. The shift follows Supermaven’s earlier move toward an editor because extension APIs were blocking further capabilities the team wanted to build.


### [Iterating with shadow workspaces](https://yomu.fyi/post/iterating-with-shadow-workspaces.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Arvid Lunnemark
- Published: Sep 1, 2024
- Type: Explainer

Cursor’s shadow workspace addresses the problem of letting AI agents iterate on code without disrupting a developer’s active workspace. The design prioritizes LSP usability—especially lints, definition navigation, and language-server interaction—while also requiring independence, privacy, concurrency, universality, maintainability, and speed. A copied in-memory TextModel was rejected because sharing the user’s language server could introduce copied files into references, duplicate declarations, or miss errors. The implemented approach uses a reusable hidden Electron window for the workspace, routing AI edits through Cursor’s processes and returning lints independently of the visible editor. The post treats runnability as a harder future extension, with folder-proxy designs, platform limitations, and network-level independence still open questions.


### [Series A and Magic](https://yomu.fyi/post/series-a-and-magic.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Cursor
- Published: Aug 22, 2024
- Type: Announcement

Cursor announces milestones in its effort to change software development with AI, describing a shift from slow, cumbersome building and modification toward greater lightness and control. The company says its tool replaces searches for primitives with instant answers, turns mechanical refactors into single “tabs,” expands terse directives into working source, and applies thousand-line changes in seconds. It reports more than 40,000 customers and an initial team that has built SOTA next-edit-prediction models, multi-billion-file retrieval systems, and fast code rewrites using speculative inference. The announcement also says Cursor raised $60m in Series A funding from Andreessen Horowitz, Thrive Capital, OpenAI, Jeff Dean, Noam Brown, founders of Stripe, GitHub, Ramp, Perplexity, and OpenAI, and others, while inviting people excited about coding’s future to consider joining the company.


### [Our problems](https://yomu.fyi/post/our-problems.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Sualeh Asif
- Published: Oct 12, 2023
- Type: Explainer

The post lays out problems Cursor is working on in AI-assisted coding, from selecting relevant context in large codebases to making edits and finding bugs. It proposes collecting 500k tokens from editor sources and using a custom, fast reranker to reduce that context to 8k tokens, while reporting 1.4 billion vectors and 150,000 codebases indexed as of October 12, 2023. Other planned capabilities include a constrained few-step agent that searches, writes, and runs code with feedback, passive and active bug finding, and larger edits presented in real time. Future ideas include time-warp predictions, code understanding in model weights, reader and pseudo-code modes, and automatic stack-trace fixes. The list is explicitly not a final roadmap because new ideas and priorities change, and the post also invites interested people to join the company.


[Newer posts](https://yomu.fyi/topic/cursor/page/3.md)