Transforming Product Development: How Cygnet’s AI-Enabled Team Revolutionized a Marketing Analytics Company

A few months ago, we had an interesting conversation with the team of a well-known marketing analytics company. They had a familiar problem—the kind that plagues any company trying to stay competitive in a fast-paced digital world. Tight deadlines, rising development costs, and constant pressure to release features faster were holding them back.

Their question was simple: "How do we speed up development without compromising on quality?"

As someone who has seen this firsthand with our in-house market-fit products, the transformative power of AI was evident. I knew the solution wasn’t about pushing people harder—it was about working smarter by embedding AI into their entire development process.

Our team at Cygnet.One collaborated with the client to rethink how they approached software development. Instead of viewing AI as just a tool for automation, we made it a co-developer embedded at every stage of the Software Development Life Cycle (SDLC). From analysing requirements and generating initial code structures to automating testing and optimizing backend operations, AI became an essential part of the process.

The results spoke volumes. Tasks that had once taken days were now completed in hours: Do note Cygnet developers did not have any prior experience on the below tasks.?

• Building stock update webhooks for Shopify, which previously required 24 hours, was done in just 13 hours.
• Developing product APIs for WooCommerce, a task that typically consumed 24 hours, was finished in 11 hours.
• Even the tedious process of writing test cases, which had historically demanded 20 hours, was reduced to just 4 hours.?

Altogether, we saved nearly 40% of the development efforts. This meant faster product releases, reduced costs, and more time for the developers to focus on innovation rather than mundane, repetitive coding tasks. This was a pioneering journey into redefining AI’s role in software development for a client project.

Navigating AI hurdles and leveraging effective tools

The journey wasn’t without its hurdles. Not all AI models delivered as promised. One, in particular, generated multiple inaccuracies that increased correction efforts. This could have been a setback, but by refining prompts and selecting more reliable models like Sonnet 3.5, we quickly turned things around.

Additionally, we harnessed the power of several innovative tools and extensions:

• IDE extensions: Codeium and Continue.dev
• AI IDE used: Windsurf
• Codium AI: Unlike large language models, Codium AI isn’t a traditional AI model. It’s an IDE extension tool that integrates seamlessly to enhance the development process.

Shifting the developer mindset

What stood out most throughout this collaboration was how our development team embraced AI not as a threat but as an opportunity to elevate their work. Developers shifted from doing repetitive tasks to solving bigger, more strategic challenges. That mindset shift—from seeing AI as just a tool to recognizing it as a partner—made all the difference.

This project reminded me of a fundamental truth: AI isn’t here to replace human ingenuity; it’s here to amplify it. When used thoughtfully, it empowers businesses to innovate faster and smarter without sacrificing quality.

Let’s collaborate

If you are looking for developers who are AI-centric and genuinely tech-enabled for your next project—whether it’s about redefining development processes or building future-forward solutions—talk to us.

We’re passionate about building a future where AI is a strategic partner for innovation. Let’s create that future together.