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TOOLS
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Monitor Cursor Agents Status from Menubar
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Check the status of Cursor’s agents directly from your menubar. pic.twitter.com/IenIpkpGTu
— Cursor (@cursor_ai) 30 septembre 2025Check the status of Cursor’s agents directly from your menubar.
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Bugbot Rules Now Shareable Across Team
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Rules can now be shared across your entire team. This includes Bugbot rules for automated code reviews.
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Cursor 1.7 Released: AI Suggestions, Custom Hooks, Team Features
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Cursor 1.7 is now available!
— Cursor (@cursor_ai) 30 septembre 2025
As you type a prompt, suggestions now appear. Press Tab to accept.
Also new: custom hooks, deeplinks, team-wide rules, menubar support, and more. pic.twitter.com/mu7c9AP28RCursor 1.7 is now available! As you type a prompt, suggestions now appear. Press Tab to accept. Also new: custom hooks, deeplinks, team-wide rules, menubar support, and more.
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Share AI Prompts Easily Using Simple Links
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Share prompts with others using a simple link. pic.twitter.com/4I3TT6paAf
— Cursor (@cursor_ai) 30 septembre 2025Share prompts with others using a simple link.
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LandingAI Upgrades Document Extraction with DPT Technology
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Announcing a significant upgrade to Agentic Document Extraction!
— Andrew Ng (@AndrewYNg) 30 septembre 2025
LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a… pic.twitter.com/TFkgtpQYhsAnnouncing a significant upgrade to Agentic Document Extraction! LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a
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Alteryx Named Leader in Snowflake Modern Marketing Data Stack
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Alteryx is named a leader in @Snowflake
’s 2026 Modern Marketing Data Stack for Analytics & BI. Together, we help teams cut manual steps, simplify workflows, and deliver secure insights at scale. Learn more: https://
ow.ly/wEI450X3OFh #AlteryxPartner -
Terminal-Bench: Evaluating AI Coding Assistants Performance
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Why does Terminal-Bench matter?
AI coding assistants (Claude Code, Codex, Cursor, & Devin) rely on command-line interfaces. The terminal represents a convergence of power, flexibility, & the text-based modality where language models excel—hence the need for robust evaluation. -
Terminal-Bench Gains Recognition Across Major AI Models
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The industry is taking notice Terminal-Bench scores now appear on: DeepSeek-V3.1-Terminus model card Qwen3-Coder release Claude Sonnet 4.5 announcement
800+ GitHub stars | ~100 developer contributors