Seedium Unveils AI-Driven Framework for Scalable Software Development
TL;DR
Seedium's human-AI collaboration framework gives startups a competitive edge by accelerating development cycles and delivering higher ROI through scalable software architecture.
Seedium combines AI automation with expert engineering oversight, using custom templates to build scalable products while validating AI-generated outcomes for quality assurance.
Seedium's approach helps startups create better software faster, enabling more innovative solutions to reach market and improve technology access for businesses globally.
Seedium rebuilt a legacy platform backend in just three months using AI collaboration, a task that previously took a year with traditional methods.
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Seedium, a global software engineering company, has revealed its framework for building and scaling software products in the age of artificial intelligence. The company's CEO Mykhailo Kopyl explained how AI is transforming software development while highlighting both opportunities and risks for startups and small to medium businesses.
As AI technology advances, the proliferation of no-code and low-code solutions enables accelerated software development. These tools allow companies to validate ideas and launch products faster than ever before. However, Kopyl warns that this speed comes with significant risks if foundational architecture considerations are overlooked.
"AI brings startups unique opportunities to create as many prototypes as possible even without having technical skills," said Kopyl. "Many of such vibe-coded products successfully find product-market fit. But another side of these products is that they are not scalable enough."
Seedium's approach addresses this challenge by combining the latest technologies with years of engineering expertise. The framework helps businesses build quickly while maintaining readiness for growth and global expansion. This methodology integrates intelligent automation of repetitive tasks through custom templates and setups, while experienced software engineers oversee the process, make final decisions, and validate the quality of AI-generated outcomes.
Kopyl emphasizes that human-AI collaboration serves as a key driver for accelerating success in software development. This partnership shortens development cycles, accelerates time-to-market, and ultimately delivers higher return on investment for startups and SMBs. The effectiveness of this approach was demonstrated in a recent project where Seedium rebuilt the back end of a large platform with legacy code within three months, a task that would have taken approximately a year before AI integration.
For technology leaders seeking to understand this framework in greater detail, the full interview is available on Seedium's YouTube channel while additional updates can be found on the official website. The company has established itself as a trusted development partner since 2017, having delivered more than 200 successful products across SaaS, HRTech, HealthTech, and other industries.
This framework arrives at a critical juncture as businesses increasingly rely on software solutions while facing pressure to deliver products quickly. The balance between rapid development and sustainable architecture represents one of the most significant challenges in modern software engineering. Seedium's approach provides a roadmap for organizations to leverage AI's capabilities without sacrificing long-term scalability and maintainability, potentially reshaping how companies approach software development in an increasingly competitive digital landscape.
Curated from 24-7 Press Release
