What is the best Vibe Coding tool so far? Bonus points if we've never heard of it!

Probably not the answer anyone expects here, but VS Code plus Claude Code in the terminal. No fancy IDE integration, just me deciding what to run and when. It's slower than letting an agent loose on the whole codebase but that's kind of the point. I know exactly what changed and why, and I'm not spending half my time trying to understand what the tool did on my behalf

Claude browser extension+Claude Cowrok+Claude Code. I started with Lovable but it doesn't cut it for SaaS builds, and it hallucinates buttons and options you never wanted and explicily asked it to not include...

Honest answer from someone who's shipped a full SaaS stack solo with Claude + Claude Code: the right answer is "whatever lets you stay in flow while not silently degrading."

I started with Lovable, moved to Claude.ai for backend, eventually settled on a Claude-as-strategist + Claude Code-as-implementer split that gets me ~10 commits/day across multiple repos. The trap with all vibe-coding tools is they ship the demo and skip the discipline (auth edge cases, RLS, observability). Pick the one that lets you bring those disciplines back in when you need them.

Currently running MentionFox (brand monitoring + AI search visibility) on this exact stack. Production, real users, real auth.

This is such a good reminder about not fixing bugs forward — I keep learning this the hard way myself. Rolling back and improving the prompt is so much cleaner.

My test is whether the tool helps me express intent clearly and recover fast when it guesses wrong. Speed matters, but the real win is getting to a better spec and a better review loop.

Lovable is good but it burns tokens faster than the model itself, so best thing is to create a project on lovable use some tokens to setup the git and shell and framing and the basics then share the repo with your own agent (codex or claude to actually do the work on the same repo and push commits) and then lovable to tidy up .

otherwise just use claude or codex in powershell or their own app, VScode is really good as well for me.

no matter what IDE you choose make sure you are using the /gsd framework, its an open source repo to get actual work done with focused slice/phase based planning modes for single task distro, and make sure to also use martinloop.com, also an open source repo that puts a control plane around your agents token spend, budget caps, receipts on loops, audit trails, no blind retries, etc. so it saves you a ton of headache, time, and money, to use both together with any of the IDEs (my pref is VS code or powershell direct tbh.

I’ve ended up ranking these less by raw first-draft speed and more by what happens after the first wrong turn. Cursor-style tools get much better once the workflow forces three things: agree on the approach before editing, keep scope atomic, and stop when a run starts touching unrelated files. The tool that wins for me is the one that makes rollback and verifier movement obvious, not just the one with the biggest context window. Curious which of these actually gives you the cleanest stop/retry boundary today?

I've tried most of the coding tools people mention here. Lately I've been using Codex quite a bit for my projects and it's become one of my go-to options. I have kept the cost down by creating multiple GPT accounts, aprox 10 of them. I will set the first one up, and give it the instructions to build. With codex, the AI will continue it's process of your request until it is done usually. Once it is done, the free allotment is usually used up for the 4 or 5 hour allotment they give you, so I swap out the next account and continue where the first one left off. By time I get to the 10th account, the 4 hour allotment has been refreshed and I start the process over again.

My workflow is pretty simple: I let it work through a task, review the output, make adjustments, and then move on to the next feature or bug. I've been doing a lot of "vibe coding" over the past several months, and the productivity boost has been significant compared to how I was building things before.

The biggest takeaway for me is that the tool matters less than having a workflow you can consistently stick with. Once you find a setup that fits how you build, you can move surprisingly fast.

"which AI coding tool is best" is the wrong question. the real question is "which tool works best with my codebase". on a clean new project, Cursor/Claude Code/Codex are all 3-5x faster. on a messy old codebase, all of them are about the same. greenfield wins by a lot, brownfield is a coin flip. GitHub Copilot's public 35% acceptance rate is the floor metric to compare against: https://github.blog/2022-06-21-github-copilot-is-generally-available-to-all-developers/