The Rork experience tends to follow a predictable arc. The first few hours are genuinely exciting — working features appear from almost nothing. Then you try to add something slightly complex, or get the UI to match a specific vision, and suddenly each fix breaks something else.
The wall isn't a Rork limitation you need to memorize workarounds for. It's a prompting problem. What you say, how much you include at once, and how you frame corrections — these decisions shape whether your project converges toward a finished app or spirals into compounding issues.
I've built apps as an indie developer since 2014, and what working with tools like Rork drove home for me is this: the bottleneck isn't how fast you write code, it's how fast you can put into words what to build and in what order. What follows are the patterns I actually use to make that articulation easier.
Why Throwing Everything Into One Prompt Fails
"Build me a task manager with user authentication, task creation/editing/deletion, categories, due dates, and push notifications" — this produces a working-ish app almost immediately. But working on it afterward becomes painful.
When you prompt for many interconnected features at once, Rork generates each component in a way that looks reasonable in isolation. The problem emerges when those components need to share state or work together: the authentication data structure doesn't integrate cleanly with the task model, state management ends up fragmented across components, and data goes out of sync in ways that are hard to trace.
This is the origin of the "fix one thing, break another" cycle that derails most abandoned Rork projects.
Designing Before Building
When I'm working on something I actually want to finish, the first thing I ask Rork to do is describe the design, not generate code.
App overview:
- Personal task management app
- Tasks belong to projects (multiple)
- User authentication (email + password)
- Tasks have: due date, priority, completion status
Propose the main data models this app needs.
Do not write any code yet — just describe the entities,
their fields, and how they relate to each other.
I don't let code generation start until the data model looks right to me. If the proposed structure doesn't match my mental model, I correct it here. Once we agree on the foundation, implementation proceeds on solid ground.
That friction upfront — maybe five minutes of back-and-forth on the model — eliminates the need for structural rewrites later. It's the most cost-effective investment in a Rork project.
Decide the State Management Approach Up Front
The core reason "throwing everything into one prompt" fails is that state management ends up implemented separately in each component. You can prevent a lot of that pain by settling the approach during the design phase.
When I have Rork articulate the design, I ask it to decide where state lives alongside the data model:
Propose a state management approach for this app.
- How will server-side data (tasks, projects) be synced?
- Where should state shared across screens (e.g. the logged-in
user) be held?
- How should transient UI state (e.g. modal open/closed) be handled?
Do not write code yet — just describe the approach in text.
Once you've agreed that "server data uses this mechanism, shared state lives here, UI state stays local," every phase of implementation builds on the same foundation. It heads off the nastiest kind of inconsistency — each screen holding its data differently — right at the entrance, before it has a chance to surface.
Sequential Implementation with Explicit Scope
With the design settled, I build in phases, each with a deliberately narrow scope:
Phase 1: Data layer only
Using the data model we just defined, generate:
- The Supabase table definitions (SQL)
- TypeScript interfaces for each entity
Do not create any UI yet.
Phase 2: Authentication only
Implement user authentication: sign-up, login, logout.
Include the screens and the logic.
Do not build any task features yet.
Phase 3: Core task CRUD only
Implement the ability for authenticated users to add, view,
edit, and delete tasks.
Categories, due date display, and notifications will be
added in later phases.
The phrase "do not build X yet" is doing real work here. Without it, Rork often anticipates features you haven't designed yet and pre-builds partial implementations that conflict with what you actually want later.
How to Write Correction Instructions
The gap between projects that reach completion and those that don't often comes down to the specificity of correction prompts.
❌ "The button doesn't look right, fix it"
✅ "Change the submit button background to #3B82F6, opacity 0.9 on hover, border-radius 8px to match the rest of the form elements"
❌ "Error handling is missing"
✅ "When the task creation API call fails, display an error toast at the top of the screen for 3 seconds. There's already a success toast component — add an error variant to the same component rather than creating a new one"
Vague instructions hand the interpretation over to Rork. Sometimes it guesses right. When it doesn't, the cost of the next correction compounds. The more precisely you describe what you want, the more predictably you'll get it.
Tell Rork Explicitly Not to Break What Works
The "each fix breaks something else" effect from the intro is, more often than not, caused by correction prompts that never state what should be left alone. In its eagerness to deliver the requested change, Rork will sometimes rewrite unrelated components "while it's in there."
To prevent this, I add one sentence to every correction prompt naming what I don't want touched:
Add only the sort feature to the task list.
Do not change anything in the auth code (src/auth/) or the
data model type definitions for now.
At the end, list the files you changed.
Two things matter here. First, name the directories or files you don't want modified. Second, ask for a list of changed files at the end — that list lets you spot at a glance whether something was touched that shouldn't have been.
Even so, an unrelated file occasionally gets rewritten. When it does, don't scramble to patch it — revert to the previous state and re-issue the instruction with a narrower scope. That's usually faster. Once I started treating working code as an asset to protect, the number of times I fell into a correction spiral dropped noticeably.
Ask for a Diagnosis Before a Fix
When something confusing breaks, asking Rork to explain what's happening before fixing it often saves time.
When scrolling through the task list, data disappears.
Before making any changes, describe three possible causes
for this behavior.
Two things happen when you do this. First, you can verify whether Rork's diagnosis matches your suspicion — if they diverge, that's worth resolving before any code changes. Second, understanding the cause means you'll recognize the same pattern if it appears elsewhere, rather than treating each occurrence as a fresh mystery.
When to Start Over vs. Keep Fixing
After a long chain of corrections, the "just rebuild it from scratch" instinct sometimes surfaces. The judgment call is real. My rough criteria:
Reasons to restart:
- The same bug has reappeared three or more times
- Fixes are consistently breaking unrelated features
- The data model needs fundamental changes
Reasons to continue:
- The root cause is clear and the impact is bounded
- You're mostly adjusting visual details
- You're adding features, not restructuring existing ones
If you do restart, the design phase you skipped or rushed the first time is the investment to make. The second build is always faster because the architecture question has already been answered.
The Underlying Principle
Rork is genuinely fast at generating a working prototype. Getting from that prototype to a finished app is a different skill — and it's mostly a direction-setting skill, not a technical one.
If you can articulate what you're building — which data needs to exist, how features interact, what the state should look like — Rork becomes a very capable implementation partner. If the vision is fuzzy, the code will be fuzzy too.
Before you write your next first prompt, take five minutes to write down the answer to one question: "What are the essential pieces of data this app needs to store?" Getting that clear before you start is usually the difference between finishing and not.