theORQL lives in Chrome to capture runtime, network, and console errors in real time, explain them in chat, and sync fixes to your IDE.
We make debugging easy
Tired of spending more time hunting for bugs than writing code? @BatsouElef offers a practical guide, sharing the mindset shifts and debugging strategies that cut her debugging time in half.
Read on: https://t.co/vdb8LPL9qs
Generic AI can hallucinate fixes.
theORQL sees runtime evidence and maps UI to code instantly.
One click runs:
reproduce → fix → verify → diff
You verify the fix by re-running.
theORQL gives you a reviewable diff.
Try it! 🔗 https://t.co/4wJz0TdiqU
#VibeCoding #FrontendDev #BuildInPublic
Most AI coding tools only see your code text.
@the_ORQL sees the runtime reality:
• Chrome stack traces
• DOM signals
• network events
• build failures from Vercel / Netlify
And maps it back to the exact code path in VS Code.
Still active on Product Hunt if you want to check it out 👇 https://t.co/6RV9MaSQG0
#AItools #DevExperience #ProductHunt #DevTools #Chrome
Ever fixed a bug and then wondered if it actually fixed the issue?
With theORQL you verify the fix by re-running. theORQL gives you a reviewable diff.
Debugging you can trust.
Active on ProductHunt 🚀 https://t.co/fu0F7AptPs
Download theORQL here 👉🏼 https://t.co/4wJz0TdiqU
#AICoding #VibeCoding #DX #theORQL
Most AI coding tools only see your code text.
@the_ORQL sees the runtime reality:
• Chrome stack traces
• DOM signals
• network events
• build failures from Vercel / Netlify
And maps it back to the exact code path in VS Code.
Still active on Product Hunt if you want to check it out 👇
https://t.co/85xrEiLSui
#AItools #DevExperience #ProductHunt #DevTools #Chrome
This happens a lot when a field moves fast.
The technology leaps forward, but the organizations building it still evolve like traditional software companies.
In dev tooling you see the same thing: AI speeds up coding, but the workflow around debugging and runtime context hasn't caught up yet.
@itsandrewgao Honestly, not that crazy.
GitHub gives agents structure: repos, diffs, history, ownership. Much easier to reason about than a pile of files in a drive.
Same idea behind theORQL, giving agents structured runtime context instead of scattered logs.
@burkeholland This is exactly the trap people hit when vibe coding.
Error. Paste. Retry. Repeat.
At some point the agent is just guessing. Capturing the runtime evidence first changes the loop.
That's actually the idea behind theORQL, give the agent the real context, not just error text.
@_simonsmith Interesting signal. Editing with a light touch requires strong intent modeling and restraint. Most models optimize for 'rewrite quality', not 'diff quality'. Developers are starting to care more about the size and precision of the diff than the rewrite itself.
@thdxr Honestly a reasonable concern. The real issue isn't AI writing code, it's losing visibility into how that code gets from prompt, to repo and then production. The tooling around audibility and traceability hasn't caught up yet.
@tomfgoodwin A lot of the variance comes from the stack around the model: tooling, context, latency, and workflows.
Same model, completely different experience depending on how it's integrated, which is the layer we're thinking about at theORQL.
Some bugs only appear in real browser conditions.
@the_ORQL runs inside Chrome and captures live network requests, DOM mutations, and execution context when errors happen.
Debug with precision.
Live on ProductHunt! 🚀 https://t.co/fu0F7AoVZU
#JavaScript#ReactJS#DevTools #Engineering #ProductHunt
3 console errors. No copy-paste into your AI chat. No digging through DevTools. No console.logging.
@the_ORQL caught them in Chrome, read the files, found the missing await on an async call, and proposed the fix. Still haven't left my browser.
If you're vibecoding with AI, you already know:
You ship faster.
You experiment more.
You break things differently.
theORQL captures real runtime context inside Chrome so you're not debugging blind.
Live on Product Hunt 🚀https://t.co/fu0F7AptPs
#AIcoding#BuildInPublic #DevTools #ProductHunt
Still Top 5 among yesterday’s launches on Product Hunt 🚀
Huge thanks to everyone checking out theORQL and sharing feedback.
Momentum continues 👉🏼 https://t.co/IoSAj9BKSI
#ProductHunt#DevTools
Today's the day, theORQL is live on Pruduct Hunt! 🎉
It runs in Chrome, captures real runtime context, and helps compress the reproduce → fix → verify loop.
🔗 https://t.co/IoSAj9BKSI
#Debugging#WebDev#ProductHunt
We're live on Product Hunt today 🚀
theORQL is built for AI-assisted dev workflows, when you're shipping fast, iterating constantly and bugs don't come with clean repro steps.
It runs in Chrome, captures real runtime context, and helps compress the reproduce → fix → verify loop.
Would love your thoughts 👉🏼 https://t.co/fu0F7AoVZU
#ProductHunt #BuildinPublic #DevTools
.@the_ORQL, a product that I've used a lot in the previous months, is launching today on @ProductHunt! 🚀
"Cursor for frontend. Build and debug in Chrome and VS Code."
Let's support it! 🔗
(More info below) 👇
Today's the day, theORQL is live on Pruduct Hunt! 🎉
It runs in Chrome, captures real runtime context, and helps compress the reproduce → fix → verify loop.
🔗 https://t.co/IoSAj9BKSI
#Debugging#WebDev#ProductHunt
Today's the day, theORQL is live on Pruduct Hunt! 🎉
It runs in Chrome, captures real runtime context, and helps compress the reproduce → fix → verify loop.
🔗 https://t.co/IoSAj9BKSI
#Debugging#WebDev#ProductHunt