Introducing Fei. The production grade, vibe coding, autonomous engineer. Designed for teams that build real products. Fei works in your codebase, uses your components, maintains design system and coding standards, delivering real, production grade code.
We built Fei, because engineering and product teams don’t need another prototype generator. They need an AI teammate they can actually trust in production on their code!
While many AI tools generate code, most stop short of delivering code you’d actually merge. Fei works inside your codebase; reusing your components, following your coding standards, and writing code that passes review on the first try.
From Figma designs, Jira tickets, screenshots, or plain text, Fei translates requirements into backend-ready code in minutes, not days. Fei can even help product teams deliver on production ready prototypes, fully contextual to the code base and not slowing down the development cycle.
The result? Shorter development cycles, Scalable output without extra headcount, no compromise on quality or security, and peace of mind. :)
We believe this is the future of software development: agents that aren’t just “helpers,” but true teammates. Ones that know your stack, respect your conventions, and help you scale like never before.
We’ve already seen Fei accelerate dozens of teams across industries, and I couldn’t be more excited to share it with you today.
I would love to hear your feedback, questions, and/or thoughts!
@Product Hunt: I couldn't sign up using my corporate LinkedIn because the regex on the URL is wanting a person's profile - no offense I don't need everything to be about me personally. Also huge text area to put in a description, but after 15 characters I was told it was too long. So I put an "x" in there . . .since it is required, and all I wanted really was to post this comment (which has taken 15min now instead 60 seconds I thought it would):
@AutonomyAI : Would love to try Fei, but I couldn't see the pricing up front (a requirement for my firm to do business with another firm) and I couldn't try it without talking to a human first (I declined the calendar and the workflow just stopped on that page like, oh, guess we don't go to the next step then, player). . . could be FF. I don't use Chrome unless forced. But if there is a path to those two things - please email me [email protected] - thanks!
Fei works inside your codebase, reuses your components, and ships backend-ready code from Figma, Jira, or plain text. Faster cycles, zero headcount bloat, and review-passing quality by design.
Finally an AI that gets production code 😮💨 Actually uses our components, knows our stack, and first-try passes review. Slack integration? Chef’s kiss 🤌 Almost sold me.
Theres an issue with the signup, even tho i used my company email, it still tells me its invalid domain or my personal email.
Super impressed. It actually writes production-ready backend code that fits my stack. Way beyond your average AI dev tool.
Finally someone who's serious about building with AI, this is the future. Faster shipping, fewer bugs, zero fluff.
@adir_ben_yehuda and team @AutonomyAI congrats on the launch. Fei looks pretty cool, looking forward to hopefully trying it out soon. I like the reusable components feature, definitely makes it stand out from Cursor, Lovable and the other tools out there. Looking forward to your continued success in this space 🚀.
Amazing product! This is a gem for both PMs and devs looking to go beyond ordinary vibe-coding tools
This makes a lot of sense. I think you all are hitting a key gap that we have right now in using a lovable or cursor to edit already working production code and trust that it won’t change the entire setup, critical components, or even follow our best practices. Excellent work
Really like the focus on making UI work production-ready out of the box 👏
I'm a huge fan of vibe coding. It's changed everything. Fei looks brilliant!
the production-ready approach sounds promising! how does fei handle edge cases that might not be covered in the existing codebase? :)
Love the focus on reusing components and following design systems — that’s what often kills AI-generated code. One question: how customizable are the coding standards and linters Fei enforces (e.g., project-specific ESLint/Prettier configs or CI checks)? Would like to know how much tuning is needed per repo.
Fei actually coding straight into your codebase and keeping your team's standards? That’s wild—makes it way less scary to have AI help, ngl. Super smart move guys!
Most AI dev tools focus on speed of generation. But at AutonomyAI, we asked a harder question: how do you ensure that what’s generated is actually usable in production?
That’s why we built Fei, our agent designed from the ground up to both understand and adapt to your codebase. Fei doesn’t just autocomplete, it:
Reuses your components and hooks into your existing infra
Respects your design system & coding standards
Delivers code that passes PR review the same way a senior engineer would
And it works across input formats: Figma files, Jira tickets, screenshots of a design, or even just plain text specs. Fei ingests requirements and outputs production-grade code in minutes.
Fei enables teams to accelerate shipping, scale output, and reduce review churns, all while keeping quality and security uncompromised.
For us, this isn’t about building a “faster typewriter.” It’s about creating an AI teammate that works alongside engineers the way they actually build.
Excited to hear your thoughts and feedback, and we can’t wait for you to try Fei in your own stack!
About Fei on Product Hunt
“Production grade vibe coding”
Fei launched on Product Hunt on August 19th, 2025 and earned 287 upvotes and 35 comments, placing #4 on the daily leaderboard. Introducing Fei. The production grade, vibe coding, autonomous engineer. Designed for teams that build real products. Fei works in your codebase, uses your components, maintains design system and coding standards, delivering real, production grade code.
Fei was featured in Artificial Intelligence (466.2k followers) and Vibe coding (397 followers) on Product Hunt. Together, these topics include over 87.5k products, making this a competitive space to launch in.
Who hunted Fei?
Fei was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Fei stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ben Lang
Thank you for supporting us!
We built Fei, because engineering and product teams don’t need another prototype generator.
They need an AI teammate they can actually trust in production on their code!
While many AI tools generate code, most stop short of delivering code you’d actually merge. Fei works inside your codebase; reusing your components, following your coding standards, and writing code that passes review on the first try.
From Figma designs, Jira tickets, screenshots, or plain text, Fei translates requirements into backend-ready code in minutes, not days. Fei can even help product teams deliver on production ready prototypes, fully contextual to the code base and not slowing down the development cycle.
The result? Shorter development cycles, Scalable output without extra headcount, no compromise on quality or security, and peace of mind. :)
We believe this is the future of software development: agents that aren’t just “helpers,” but true teammates. Ones that know your stack, respect your conventions, and help you scale like never before.
We’ve already seen Fei accelerate dozens of teams across industries, and I couldn’t be more excited to share it with you today.
I would love to hear your feedback, questions, and/or thoughts!