Launching today
Vylor AI
AI engineering where you're the driver
5 followers
AI engineering where you're the driver
5 followers
Vylor is a cloud-based AI engineering workspace for your entire multi-repo architecture. Work through engineering problems with AI like another engineer who already understands your codebase. Vylor connects the relevant parts of your system so you can explore solutions, make technical decisions, and iterate in real time. Move from idea to implementation across APIs, frontends, and infrastructure, with up to 8× lower model costs.
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Hey everyone! 👋 I'm Ahmad, founder of Vylor.
We started Vylor with a simple philosophy: how can people and AI work better together?
Initially, I imagined AI taking complete engineering tasks from start to finish. We experimented with that approach quite a bit, and it works surprisingly well, until it doesn't. AI will eventually make a decision you wouldn't have made, miss something you already knew mattered, or take the implementation in a direction you don't want.
I realized I didn't need AI to disappear and come back with a perfect solution. I needed the iteration loop to be fast.
Let AI investigate the codebase, write the boilerplate, implement the functions, wire the APIs, and make the changes. I'll bring the system knowledge, priorities, and technical judgment. We'll work through the solution together and I'll decide when it's ready.
That's what Vylor became: a way to work through engineering problems with AI, rather than waiting for AI to finish them for you.
Try it out:
Test directly in our sandbox: vylor.ai/try
Connect your stack & use code PRODUCTHUNT5 at checkout for a $5 credit to unlock advanced flagship models on your features.
I'm really curious to see whether other engineers work this way too. 🚀