AI IDE vs Terminal Agent: When to Use Which Workflow?
AI IDE vs terminal agent: when to stay in the editor loop, when to delegate in the CLI, and when teams use both.
AI IDE vs terminal agent: when to stay in the editor loop, when to delegate in the CLI, and when teams use both.
Cursor vs Windsurf: collaborative Composer vs autonomous Cascade, IDE coverage, pricing signals, and which AI IDE fits your review loop.
Claude Code vs Cursor: terminal agent or AI IDE? Compare surfaces, workflows, pricing signals, and which fits your daily review loop.
My multi-project review hub gives several local AI project offices one review front door, so I can focus on approval instead of ports.
My AI writing pipeline separates a stronger editor from a cheaper writer, so briefs and quality gates improve instead of prose rewrites.
AI debugging logs give my Cursor agent runtime evidence from browser, Electron, and Node apps through a local file it can read.
A session handoff system for Cursor: two small skills and a wiki folder that let a new agent session pick up where the last one stopped.
My Cursor workflow in five layers: rules, session memory, runtime logs, pipeline skills, and one review hub built on top of the editor.
Why I use Cursor instead of just Claude or Codex: the harness around the model, cheap first-party models, and the VS Code foundation.