Agent best practices - grind mode and various hooks
A comprehensive guide to working with coding agents, from starting with plans to managing context, customizing workflows, and reviewing code.
Developer Tool Overview
Summary
The article explains how the Cursor AI‑driven code editor works under the hood, focusing on its deep code‑indexing via vector embeddings and custom LLMs that enable contextual chat, semantic search, smart refactoring, and inline completions within a VS Code fork.
Highlights
- Cursor is a VS Code fork augmented with AI that indexes entire codebases as vector embeddings.
- It provides an AI chat sidebar, semantic code‑base search, and multi‑file refactoring powered by specialized edit models.
- The platform balances client‑side sandboxing with backend orchestration for privacy‑controlled code analysis.
- Revenue traction is high (300 M USD) and the company behind it, Anysphere, has raised significant funding.
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Context
Audience
Developers interested in AI‑enhanced IDEs, tech leads evaluating code‑assistant tools, and software engineers curious about the architecture of AI code editors
DomainSoftware Development Productivity
Formatlong-form article
Accessfree online
Personal Notes
I've been experimenting with my own indexing, so I found this a helpful and inspiring guide, given how well Cursor's has performed.
Topics
Related
VS Code Extension APISemantic code search with embeddingsLarge language model based pair programmersAnysphere funding news