cursor

Notion has launched a Developer Platform that allows teams to run custom code in cloud-based Workers, sync external databases, and orchestrate both internal and external AI agents. The platform, free through August, supports integration with Claude Code, Cursor, Codex, and Decagon, and uses Model Context Protocol for agent connectivity.

Cursor has integrated its AI code editor into Microsoft Teams, allowing developers to delegate coding tasks by mentioning @Cursor in any Teams channel. The integration automatically selects repositories and AI models, reads thread context, and generates pull requests for team review.

OpenAI is replacing per-seat licensing with usage-based pricing for Codex in ChatGPT Business and Enterprise plans, eliminating upfront license costs. Eligible Business customers can claim up to $500 in promotional credit per workspace. The shift targets enterprises where coding tools typically expand from individual developers to full teams, positioning OpenAI against GitHub Copilot and Cursor.

Cursor released version 3 of its AI coding tool with a complete interface redesign built around running multiple AI agents in parallel rather than individual code editing. The new "agent-first" interface allows developers to launch agents from desktop, mobile, web, Slack, GitHub, and Linear, with seamless switching between cloud and local environments.

Cursor acknowledged that its newly launched Composer 2 coding model was built on Moonshot AI's open-source Kimi 2.5 model, not developed independently. The admission came after user scrutiny revealed code references to Kimi. Cursor claims only 25% of compute came from the base model, with 75% from its own training and reinforcement learning.

Cursor released Composer 2, a code-specialized model priced at $0.50 per million input tokens and $2.50 per million output tokens—roughly 90% cheaper than Claude Opus 4.6 ($5.00/$25.00) and 60% cheaper than GPT-5.4 ($2.50/$15.00). The model scores 61.3 on Cursor's internal CursorBench, competitive with Claude Opus 4.6 (58.2) but below GPT-5.4 Thinking (63.9).