I Can't Update My App After the AI Tool Made Changes
You were using an AI tool to build or update your app, and after a series of changes, something went wrong. Now you can't make any more updates — the app won't build, the AI keeps going in circles, or every new change breaks something else.
This is like being stuck in quicksand. The more you ask the AI to fix it, the deeper the mess gets. You might see error messages that don't make sense, or the AI says it fixed the problem but nothing actually changed.
At this point, the code has gotten so tangled that the AI can't untangle it on its own. You need a human developer to step in, clean up the mess, and get your app back to a working state.
Error Messages You Might See
Common Causes
- AI made conflicting changes — Different prompts told the AI to do opposite things, creating code that contradicts itself
- Dependencies got scrambled — The AI added, removed, or changed software libraries in a way that makes them incompatible with each other
- Core files were accidentally overwritten — The AI replaced important configuration files with broken versions
- Too many changes at once — Instead of small careful updates, the AI rewrote large sections and introduced multiple bugs simultaneously
- Build errors piling up — One error led to a "fix" that created two more errors, and so on
How to Fix It
- Stop asking the AI to fix it — Seriously. If it's been going in circles for more than 3 attempts, the AI is making things worse
- Go back to the last working version — Check if your AI tool has version history or if your code is saved in GitHub with previous versions
- Screenshot every error message — Document exactly what's happening so a developer can diagnose the problem quickly
- Get a human developer to review the code — They can identify the root cause and fix it properly instead of guessing like the AI is doing
- Make a plan before more changes — Once it's fixed, make smaller, more careful updates and test after each one
Real developers can help you.
Omar Faruk
As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience.
My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture.
I played a key role in creating a scalable and maintainable platform to support educators and learners globally.
I'm enthusiastic about embracing new challenges and making meaningful contributions.
Matthew Butler
Systems Development Engineer @ Amazon Web Services
Yovel Cohen
I got a lot of experience in building Long-horizon AI Agents in production, Backend apps that scale to millions of users and frontend knowledge as well.
Caio Rodrigues
I'm a full-stack developer focused on building practical and scalable web applications. My main experience is with **React, TypeScript, and modern frontend architectures**, where I prioritize clean code, component reusability, and maintainable project structures.
I have strong experience working with **dynamic forms, state management (Redux / React Hook Form), and complex data-driven interfaces**. I enjoy solving real-world problems by turning ideas into reliable software that companies can actually use in their daily operations.
Beyond coding, I care about **software quality and architecture**, following best practices for componentization, code organization, and performance optimization.
I'm also comfortable working across the stack when needed, integrating APIs, handling business logic, and helping transform prototypes into production-ready systems.
My goal is always to deliver solutions that are **simple, efficient, and genuinely useful for the people using them.**
Luca Liberati
I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture
Prakash Prajapati
I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale.
Rudra Bhikadiya
I build and fix web apps across Next.js, Node.js, and DBs.
Comfortable jumping into messy code, broken APIs, and mysterious bugs.
If your project works in theory but not in reality, I help close that gap.
AUXLE
I am a Full Stack Developer experienced in building Websites, Web apps and Cross Platform Mobile Apps for Startups and Companies.
Pratik
SWE with 15+ years of experience building and maintaining web apps and extensive BE infrastructure
Richard McSorley
Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures.
Describe what's wrong in plain English. No technical knowledge needed.
Get HelpFrequently Asked Questions
Why does the AI keep making things worse?
AI coding tools work best for building new things, not debugging tangled code. When code gets messy, the AI doesn't truly understand what's wrong — it makes educated guesses. After several wrong guesses, the code becomes too complex for the AI to sort out.
Can I go back to an earlier version of my app?
If your code is on GitHub or your AI tool has version history, yes. Look for a 'history' or 'versions' feature, or check your GitHub repository for previous commits. If there's no history, a developer may still be able to untangle the current code.