Tools·Tools
Agentic IDEs: full-environment editors
Editors and platforms where AI is the primary development surface—from VS Code forks to browser IDEs.
This article is AI-assisted and co-authored by Xesca Alabart, co-founder of EasySpecs.
Agentic IDEs treat the model + environment as the product: not only autocomplete inside a file, but agents, background tasks, and often deployment paths. They assume you eventually supply a seed—specs, conventions, repo layout—that the agent can read from disk.
Tools in this category
| Tool | Role |
|---|---|
| Cursor | VS Code fork; agentic mode and background agents; strong IDE integration. |
| Windsurf (Codeium / Cognition) | Cascade engine, deep repo context, memories. |
| Google Antigravity | VS Code lineage; multi-agent, Mission Control, built-in browser. |
| AWS Kiro | Spec-driven loop: requirements → design → tasks; hooks and steering files. |
| Zed | Rust editor, ACP, low overhead. |
| Firebase Studio (ex-IDX) | Browser full-stack, Builder.io integration, path to deploy. |
| Replit Agent | Browser IDE, NLP to app, one-click deploy—prototyping without local setup. |
How to choose
Match the IDE to your factory stage: exploration and deploy speed (Replit, Firebase Studio) vs long-horizon repo work with conventions and harnesses (Cursor, Windsurf, Kiro). The flagship essay AI factories and the context bottleneck frames why context beats raw model choice.
Related
References
- Cursor — Agentic IDE
- Windsurf — Cascade agent
- Google Antigravity — Multi-agent IDE
- AWS Kiro — Spec-driven IDE
- Zed — ACP
- Firebase Studio — Browser IDE
- Replit Agent — Cloud builder