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ENGINE — Rork Max is powered by Claude Code and Claude Opus 4.6, generating native Swift apps directlyCORE ML — Rork Max reaches on-device Core ML inference alongside HealthKit, HomeKit, NFC, and App ClipsSEED — Rork raised a $15M seed led by Left Lane Capital in April 2026, joined by Peak XV and a16z SpeedrunM&A — Rork acquired the app builder Paperline and says it will stay acquisitive to bring in engineering talentMARKET — Gartner expects 75% of new applications to be built with low-code or no-code tools by the end of 2026GROWTH — The no-code AI platform market is projected to grow from $4.9B in 2024 to $24.8B by 2029ENGINE — Rork Max is powered by Claude Code and Claude Opus 4.6, generating native Swift apps directlyCORE ML — Rork Max reaches on-device Core ML inference alongside HealthKit, HomeKit, NFC, and App ClipsSEED — Rork raised a $15M seed led by Left Lane Capital in April 2026, joined by Peak XV and a16z SpeedrunM&A — Rork acquired the app builder Paperline and says it will stay acquisitive to bring in engineering talentMARKET — Gartner expects 75% of new applications to be built with low-code or no-code tools by the end of 2026GROWTH — The no-code AI platform market is projected to grow from $4.9B in 2024 to $24.8B by 2029
Articles/Dev Tools
Dev Tools/2026-06-17Intermediate

Spotting the 30% of Bugs Rork Can't Fix Itself — A Hand-Fix Workflow Built Around Export

Rork resolves roughly 70% of the bugs it hits on its own; the remaining 30% needs your hands. Here is the criteria I use to decide whether to keep re-prompting or export and fix it myself, plus working code for the fixes.

Rork498React Native201Debugging11Workflow4Indie Development20

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When you build with Rork, it patches a surprising share of the errors you hit without your help. Published hands-on reviews put the number around 70% — bugs resolved with no manual intervention. The trouble is the other 30%. If you keep believing "one more prompt will fix it," you can watch the same patch loop around until morning. Across years of running apps as an indie developer, the thing that has burned the most of my time is exactly this: the 30% that looks fixable but isn't.

This article shares how I spot that 30% early, and how I draw the line between cases worth another prompt and cases that call for exporting the code and fixing it by hand. I also walk through two bugs that tend to survive in generated code, with the working code I used to root-cause them.

Where the easy 70% ends and the hard 30% begins

In practice, Rork is good at fixing "problems that live inside one screen, with visible state." It struggles with "problems that depend on timing or the outside environment, where the trigger is hard to put into words." The dividing line looks like this:

Rork usually self-fixesUsually lands on your desk
Broken layouts and style mismatchesAsync races (a stale response overwrites newer state)
Type errors and undefined references the compiler flagsCrashes that appear only on a specific device or OS version
Logic fixes inside a single componentBehavior that spans native SDKs — permissions, billing, push
Copy, constants, and default valuesOff-by-one and index drift during list operations

The gap comes from what Rork is: a tool that fixes based on "the code it can see and your description." When the trigger hides in a timeline or external state, it never makes it into the description, so Rork applies a surface-level patch instead. That is why spotting the 30% starts with one question: is the cause inside the screen, or out in time and devices?

Keep re-prompting, or fix it by hand?

The test I actually use is simple. If two or more of the following are "yes," I stop re-prompting and switch to export.

  1. After two prompts on the same symptom, has Rork edited different places without fixing it?
  2. Is the error a stack trace with the cause already pinpointed?
  3. Does the fix span multiple files where you want to keep things consistent at once?
  4. Is it in billing, permissions, or push — territory that only reproduces in production?

Stacking more prompts onto a bug that matches two or more of these has nearly always been wasted time for me. If none match, letting Rork handle it is usually faster. As a table:

SituationWhat to do
0–1 matchesRe-prompt Rork (describe the expected behavior, not the symptom)
2–3 matchesExport and fix only the root cause by hand
4 matchesExport, then rethink the design of the feature itself

The deeper question of where to split no-code from hand-written work is covered in drawing the responsibility boundary between Rork Max's Swift output and the Expo version. Reading both makes it easier to decide which layer should absorb the 30% of hand-fixing.

Thank you for reading this far.

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What follows includes implementation code, benchmarks, and practical content we hope you'll find useful. This site runs without ads — server and development costs are supported entirely by members like you. If it's been helpful, we'd be truly grateful for your support.

WHAT YOU'LL LEARN
Apply a concrete test, starting today, to separate the 70% of bugs Rork fixes automatically from the 30% you should fix by hand
Root-cause the bugs that tend to linger in generated code — async races and list-boundary crashes — with code you can run
Build a workflow, grounded in running apps at 50-million-download scale, so your manual fixes don't get reverted on the next regeneration
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