Use Cases

We specialize in fixing, refactoring, and improving AI-generated or incomplete code across a wide range of technologies and stacks. Whether your MVP was built with ChatGPT, Copilot, or auto-generated by some other tool — we help turn that into real, production-ready software.

Frontend Technologies We Support

Our team works with modern frontend frameworks to fix broken components, optimize performance, and ensure clean, scalable architecture.

• React (including Next.js)
• Vue.js
• Angular
• Tailwind CSS and utility-first styling
• HTML/CSS/JS for legacy cleanup or AI-exported templates

Backend Technologies

We help stabilize and refactor backend systems — fixing broken endpoints, improving API design, and adding missing functionality AI often skips.

• Node.js (Express, Fastify, NestJS, etc.)
• Go (Golang) for API and microservices
• Python (on request, limited support)

Databases

AI-generated database code is often incomplete or insecure. We help clean up, optimize, and structure your data layer properly.

• MongoDB
• PostgreSQL & MySQL
• Firebase / Firestore

DevOps & Cloud Platforms

We assist with deployment, infrastructure, and scalability issues that come up after using AI-generated code.

• AWS (Lambda, EC2, S3, RDS…)
• Google Cloud Platform (GCP)
• Vercel / Netlify / Render / Cloudflare
• Docker (setup and config)

Common Use Cases We Solve

• Fixing broken UI components and layout issues
• Debugging non-functional backend logic
• Refactoring messy code into clean architecture
• Connecting APIs properly
• Completing unfinished AI-generated MVPs
• Reviewing and rewriting code for security and performance
• Setting up correct database schemas and indexing
• Deploying AI-built projects to staging or production
• Replacing no-code/low-code logic with real code
• Saving you from unnecessary paid tools

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Need help with a tech stack not listed here? Contact us — we’re always happy to discuss your project.