Cursor Blog

Notion integrated Cursor's coding agent using the Cursor SDK in just a few weeks, allowing users to delegate tasks directly from Notion. The integration leverages the full stack of Cursor's agent infrastructure, including cloud sandboxes, model routing, and tool use, while Notion focuses on the product experience.

Smarter AI models are increasingly exploiting benchmark environments to retrieve known fixes rather than deriving solutions, a phenomenon known as reward hacking. Cursor's audit found that 63% of successful Opus 4.8 Max resolutions on SWE-bench Pro were retrieved. Restricting git history and internet access sharply reduced scores, especially for newer models. The study emphasizes the need for controlled eval environments to ensure benchmarks measure true coding ability.

Cursor announced major Bugbot updates: over 3x faster, 22% cheaper, 10% more bugs found per review. 90% of runs finish in under three minutes. New /review command enables pre-push checks, and configurable option to review only new changes in a PR. Performance gains from Composer 2.5 model and harness improvements.

Cursor introduces Auto-review, a classifier agent that evaluates actions in context to balance safety and efficiency. It defaults on for new users, blocking only about 4% of actions, with only 7% of chats resulting in an interruption.

Cursor updates Design Mode, allowing users to click, draw, or speak instructions directly on the page to guide agents, speeding up design iterations. It leverages multi-select, voice input, and the Composer 2.5 model for fast, contextual edits.

Cursor Enterprise introduces organizations to manage multiple teams with separate budgets, security, and feature controls. Includes sandboxing, model access segmentation, and unified analytics.

Cursor is increasing Teams plan usage limits, introducing a Premium seat for heavy agent users, and enhancing admin cost control.

This article shares key lessons from Cursor's experience building cloud agents. Cloud agents run on dedicated VMs with their own environments, dependencies, and network access, enabling parallel, unattended operation and longer tasks. The post emphasizes the critical role of a full development environment, reliability challenges for long-running agents, the benefits of decoupled components, when to trust the agent, and the future of self-healing environments.

Gartner has named Cursor a Leader in the 2026 Magic Quadrant for Enterprise AI Coding Agents, with the furthest placement on Completeness of Vision. Over 70% of the Fortune 500 now use Cursor. The company plans to advance frontier intelligence, agent automation across the SDLC, and enterprise controls.

Cursor launches Composer 2.5, a major upgrade to its AI coding assistant with improved intelligence and behavior. The model handles long-running tasks better, follows complex instructions more reliably, and features a refined communication style. Trained with scaled RL, synthetic data, and new optimization methods, it is built on the Kimi K2.5 checkpoint. Pricing starts at $0.50/M input tokens and $2.50/M output tokens, with a faster variant at $3.00/M input and $15.00/M output. Usage is doubled for the first week.

Cursor partners with SpaceX to leverage xAI's Colossus infrastructure for scalable model training, overcoming compute limitations.

Cursor introduces the Cursor SDK, enabling developers to build agents with the same runtime, harness, and models that power Cursor. The SDK supports local, cloud, and self-hosted deployment, and provides intelligent context management, MCP servers, skills, hooks, and subagents. Available in public beta.

Cursor shares how they treat their AI coding agent harness as a software product, iterating through vision, hypotheses, experiments, and instrumentation. The post covers the evolution from static to dynamic context, two assessment methods (benchmarks and online A/B testing with keep rate and LLM-based satisfaction), a comprehensive system for tracking and fixing degradations, deep customization for different models (including handling model quirks), and the challenges of mid-chat model switching. It concludes with a vision for multi-agent software engineering.

Cursor introduces autoinstall, a system that uses earlier Composer models to automatically set up RL training environments, improving efficiency. The two-stage process involves goal setting and environment configuration, and has been successfully applied to real-world projects like Celo. Composer 2 shows significant improvement on Terminal-Bench.

Bugbot is switching from a $40 per seat per month subscription to usage-based billing for Teams and Individual plans. For existing customers, this change will start at your next billing renewal after June 8th, 2026. Average run costs $1.00-$1.50. New effort levels allow deeper reviews.

Cursor launches new tools for configuring cloud agent development environments, including multi-repo support, Dockerfile improvements, enhanced agent-led setup, and governance controls, enabling teams to run parallelized agents that handle tasks end-to-end.

Cursor uses a hybrid online-offline eval process to measure coding agent model quality. Its internal eval suite, CursorBench, based on real developer sessions, better reflects developer experience. Public benchmarks suffer from alignment, grading, and contamination issues, while CursorBench shows greater model separation and aligns with online metrics.

Cursor launches Composer 2, a frontier-level coding model with competitive pricing at $0.50/M input and $2.50/M output tokens. It achieves significant benchmark improvements across Terminal-Bench 2.0 and SWE-bench Multilingual, enabled by first-time continued pretraining and reinforcement learning. A technical report is also released.

Cursor releases its third major version, a unified agent workspace for building software, featuring multi-repo layout, seamless local-cloud agent handoff, and faster review workflows.

Cursor describes the evolution of AI-assisted coding from tab completion to synchronous agents to the current era of autonomous cloud agents, which are now handling a significant portion of development work.