AI Website Stabilization & Repair
Budget: $250 – $750 USD
I’m taking over an AI-generated web platform that’s buckling under its own code. Overall performance is the biggest pain point: pages crawl, resources spike, and the whole thing occasionally stalls. On the front-end I’m chasing broken links and unresponsive buttons, plus noticeable slow loading times that frustrate users. Behind the scenes we’re fighting database errors and unreliable API calls that keep tripping the server.
The stack is mostly React, Next.js, and Node.js with several third-party APIs and a hosted database. I need someone who can jump straight into an unfamiliar, AI-written codebase, track down conflicts quickly, then refactor for long-term stability. That means:
• Debugging and cleaning both client- and server-side code
• Re-architecting trouble spots so performance is consistently fast and mobile friendly
• Hardening database queries and repairing API integrations to stop crashes before they start
• Organising the repository so future updates are clear and maintainable
I value clear explanations of what broke and how you fixed it, and I’m happy to test in short, focused milestones so we see progress early. If you’ve rescued an AI-built project before and can deliver a production-ready result, let’s talk.
The stack is mostly React, Next.js, and Node.js with several third-party APIs and a hosted database. I need someone who can jump straight into an unfamiliar, AI-written codebase, track down conflicts quickly, then refactor for long-term stability. That means:
• Debugging and cleaning both client- and server-side code
• Re-architecting trouble spots so performance is consistently fast and mobile friendly
• Hardening database queries and repairing API integrations to stop crashes before they start
• Organising the repository so future updates are clear and maintainable
I value clear explanations of what broke and how you fixed it, and I’m happy to test in short, focused milestones so we see progress early. If you’ve rescued an AI-built project before and can deliver a production-ready result, let’s talk.