Greta Review: Lightning-Fast AI Scaffolding, But Watch Your Credits
My AppSumo Review of Greta
Greta delivers on its core promise of rapid, AI-driven app scaffolding—but there are a few caveats worth noting:
What I Love 👍
1. GitHub & Netlify Integration
Linking your GitHub repo and deploying to Netlify in a few clicks feels incredibly smooth. Live previews straight from commits remove deployment friction, rivaling platforms like Bolt and Lovable.
2. Clean, Opinionated Code
The generated codebase is well-organized and readable, with logical folder structures and consistent naming conventions—so you spend less time hunting for files and more time customizing.
3. Effortless Imports
Whether it’s an existing GitHub project or a previous Greta prototype, importing and syncing updates is painless. No wrestling with mismatched configs or manual merges.
Areas for Improvement 🛠️
1. Credit Burn & Error-Handling
Every time Greta auto-fixes a bug, it deducts credits—even for minor syntax issues. It’s a real worry when your carefully crafted instructions aren’t followed precisely, and you end up spending tokens just to get the basics working.
2. Instruction Fidelity
Occasionally a requested feature is misinterpreted or omitted entirely. A “conversational” mode where you can refine requirements without incurring extra token costs would make the process feel more collaborative and less punitive.
3. Versioning & Audit Trail
There’s no built-in history of your app iterations. Having a visual diff or rollback capability would give confidence when experimenting—especially when you need to revert a change that didn’t work out.
Final Thoughts 🎯
Greta shines for developers who want near-instant prototypes with production-grade scaffolding. Its seamless GitHub + Netlify workflow and clean code output make it a joy to use—provided your token balance can handle the occasional misfire. With more robust instruction handling, fewer token-draining fixes, and a proper version audit trail, Greta could become an indispensable AI-powered app builder. Highly recommended for rapid prototyping, with the caveat of managing your credit spend carefully.