CodeAnt AI Built Credibility with Feedspace

In 2023, two passionate engineers, Amartya Jha and Chinmay Bharti, came together and launched CodeAnt AI. From their past work experiences, they clearly understood the struggle faced by development teams. They knew the pain of reviewing hundreds of lines of code, tracking technical debt, and maintaining security standards.

They wanted to solve this challenge. So, they decided to develop a system powered by artificial intelligence that could learn from past code reviews, highlight quality issues, and even suggest actionable fixes in a few clicks. All with the simplicity that developers want.

Within a year of launch, their platform gained traction among developer communities, open-source contributors, and enterprise engineering teams who looked for scalable review solutions. As of today, more than 10,000 users trust CodeAnt AI to review their code.

Why CodeAnt Needed a Feedback System

Their platform was providing real value to its users, but the challenge was to showcase the same and build trust with a new visitor.

The current users were happy with the results: smoother code merges, fewer bugs, and faster releases. They spoke about the same through reviews, which were scattered across email threads, Product Hunt comments, and private messages. The team did not have a way to manage and showcase this feedback, which led to new users having little proof to trust what CodeAnt offered.

To address this issue, the team started looking for a solution that could:

The Feedspace Solution

When the CodeAnt AI team was looking for a solution, they came across Feedspace. After experiencing it, it was clear to them that they'd found their perfect match.

With a quick setup, Feedspace now allows CodeAnt AI to:

• Create a customisable feedback form to gather testimonials directly from users, in video, audio, or text. Here’s their Feedspace all-in-one form.
• Import the best feedback from Product Hunt with just a few clicks.
• Create a great-looking Mayo Cafe Wall of Love that matched their brand and showed the best feedback from one place. Here’s their Wall of Love.
• Manage end-to-end aspects of feedback from a dashboard, which was connected to a secure cloud server.
• Customise and add a CTA button to the Testimonial Wall of Love page to guide visitors to their site.

As a result, their community love transformed into public proof, all without writing a single line of extra code.

Implementation & Impact

The implementation was quick, and the results were immediately visible. Here’s what they observed:

Reduced friction for new users

New developers evaluating CodeAnt could now see real feedback from trusted peers, reducing scepticism and increasing conversions.

Improved session duration

Visitors would spend more time reading authentic stories, which correlated with stronger platform engagement.

Cross-team alignment

Product and marketing teams gained a centralised dashboard to collect, manage, and share testimonials, saving hours and enabling more coordinated campaigns.

With Feedspace in place, CodeAnt AI was able to focus on what mattered most: scaling the platform and helping developers ship better code, faster.

Conclusion

With the industry now filled with a ton of AI solutions, CodeAnt AI’s solution stood out by showcasing real user experiences.

With the introduction of Feedspace, they can now collect and showcase real user voices, helping them to build credibility. Every user's feedback has now become a reason for others to trust and join the journey.

If you have a business that thrives on trust and user feedback, Feedspace is your perfect growth partner.

Start collecting feedback that drives growth with Feedspace 🔥