Grok 4.5 as the Default Exploration Model in Cursor
Melvin Vivas · X post · 2026-07-14 · Open on X
Topics: AI Dev Tools & Productivity, LLM Fundamentals · Level: beginner
Summary
A short tip: the creator set Grok 4.5 as his default model for codebase exploration in Cursor. It suggests picking different models for different coding-assistant tasks.
Key points
- Cursor lets you pick a default model for each kind of task
- The creator uses Grok 4.5 for exploration (understanding and searching code)
- Think about giving exploration and implementation work to different models
Resources mentioned
- Cursor · tool · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
AI-native code editor (VS Code with AI built in).
Also in: GLM 5.3 and GLM 5.3 Flash now in Cursor (Melvin Vivas on X · notes), Grok Bot Can Now Hand Off Coding Tasks to Cursor (Melvin Vivas on X · notes), Why Plan Mode Still Matters in AI Coding Assistants (Codex, Claude, Cursor) (Melvin Vivas on X · notes), Why Plan Mode Still Matters in AI Coding Agents (Codex, Claude, Cursor) (Melvin Vivas on X · notes) and 121 more - Grok 4.5 · tool · x.ai · paid
An LLM said to be trained in partnership with SpaceXAI, pitched as a general model beyond software engineering.
Also in: Grok 4.5 Works Well as the Model Behind Hermes Agent (Melvin Vivas on X · notes), Models That Work With the Hermes Agent for Personal Productivity (Melvin Vivas on X · notes), Agent-Made Video in 10 Minutes: Hermes Agent + Grok 4.5 + Hyperframes (Melvin Vivas on X · notes), Personal Assistant Agent on Hermes: Morning Briefings and Inbox Triage (Melvin Vivas on X · notes) and 9 more
Try this
- Try setting a dedicated exploration model in Cursor
More in AI Dev Tools & Productivity
- Codex Micro: A Hardware Macro Keyboard for Steering OpenAI Codex
- Plan-first coding: reading plans more than code in Cursor
- Using Cursor Cloud Environments to Build Websites Without Local Code
- Choosing Which Usage-Limit Reset to Use in Codex
- Cursor's New "Side Chats" Feature (Quick Pointer)
- Cursor as a Multi-Model Coding Harness