Error Whisperer

This targets the exact gap AI-assisted coding leaves behind: the error is in plain English but the fix still needs context. Suggestion from a fellow tool maker - if you can detect the framework (Next/Vite/CRA) from the stack trace and tailor the fix steps, that would cut the guesswork significantly.

Congrats on shipping! Focusing on the errors vibe coders actually hit, like Supabase RLS and hydration mismatches, is a smart niche. Keep it up.

Tuning the fixes for Lovable, Bolt and Cursor output makes sense, since Supabase row-level security errors are exactly where I get stuck. When I paste an error, does it also ask for the related code, or can the free daily explanation work from the stack trace alone?

Focusing on errors from Lovable, Bolt and v0 is smart, since those users often can't read a stack trace at all. Does the fix take the surrounding project context into account (e.g. Supabase schema or Next.js version), or is it based only on the pasted error and snippet?

Supabase RLS errors are a great pick to tune for, because the error message rarely tells you which policy is missing. Does the fix suggest the actual SQL policy to add, or does it mostly explain the concept? I'd also be curious how it handles hydration mismatches where the root cause is a browser extension rather than the generated code.

Read the Supabase RLS guide. Calling out that a blocked read returns an empty list instead of an error is the part that trips most people, and refusing the "just use service_role" fix is the right default for AI-built apps. One case worth adding is the reverse problem: a Postgres view runs with its owner's rights by default, so a view over an RLS table can hand every row to the anon key, and nothing errors. Agents create views freely, so it goes unnoticed. security_invoker = on, or revoking the view from anon, fixes it.

Supabase RLS errors are a great pick to tune for, since the error message rarely tells you which policy is missing. When the fix involves a new RLS policy, do you explain how to test it from the anon vs. authenticated role, or just give the SQL? A quick verification step would stop people from 'fixing' it by simply disabling RLS.

Smart niche. Vibe coders hit CORS and Supabase RLS errors constantly and the raw messages are cryptic, so plain English plus a ready-to-paste fix is exactly the right pairing. Question: does it connect to a deployed app's error logs, or is the workflow paste-the-error-in? Direct log integration would make this a daily-use tool.

Love this idea. A lot of people building with AI tools hit an error and have no idea where to start. Does it explain why the error happened as well as the fix, so people learn to spot it next time? And which stacks does it handle best so far? Good luck with the launch!

This is so helpful for those who don't understand coding. I regularly have to ask the ai itself what is wrong, in plain terms.

The daily free explanation is a clever on-ramp, since vibe coders are usually stuck, not browsing. One question: does the free tier also include the corrected code snippet, or just the plain-English explanation? If the fix itself is paywalled, a stuck user still can't ship that day. Also, Vercel build failures usually need the full build log to diagnose properly — is there a paste limit on how much I can drop in, or should I trim it to the failing section?