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The Future of Enterprise Software: Composability Meets AI

Meet Jonathan Saring, Co-Founder at Bit. As a visionary leader in composable software development, he uncovers how the fusion of composability and AI can transform enterprise tech, backed by real-world success stories from Fortune 100 teams.

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Who is Jonathan?

Jonathan Saring is the Co-Founder of Bit, a cutting-edge platform that redefines software development through composability and AI. With a commitment to building the future of enterprise technology, Jonathan has successfully led Bit to become a vital resource for over 250,000 developers and countless Fortune 100 brands. His role as an advisory board member for multiple startups in the R&D space, along with his experience as an angel investor, positions him as a thought leader in the tech community.

An open-source builder and community advocate, Jonathan has made significant contributions to the field, including being one of Medium’s top writers and authoring pieces for the Microsoft CTO Cookbook. He believes we are on the brink of a new era for composable software, where innovative methodologies and AI integration will unlock unprecedented efficiencies in software development. Through his expertise, he empowers tech leaders to embrace change and drive their organizations towards a more adaptable and efficient future.

Highlights
Co-Founder at Bit, a platform revolutionizing software development through composability and AI
Advisory board member for multiple startups in the R&D domain, providing strategic insights and guidance
Angel investor and open-source builder, dedicated to fostering innovative technologies and communities
Renowned thought leader who contributed to the Microsoft CTO Cookbook and is Medium’s top writer, sharing insights on the intersection of software architecture and emerging technologies
Passionate evangelist for transformative technologies, heralding a new era for composable software development
Who is Jonathan?

Jonathan Saring is the Co-Founder of Bit, a cutting-edge platform that redefines software development through composability and AI. With a commitment to building the future of enterprise technology, Jonathan has successfully led Bit to become a vital resource for over 250,000 developers and countless Fortune 100 brands. His role as an advisory board member for multiple startups in the R&D space, along with his experience as an angel investor, positions him as a thought leader in the tech community.

An open-source builder and community advocate, Jonathan has made significant contributions to the field, including being one of Medium’s top writers and authoring pieces for the Microsoft CTO Cookbook. He believes we are on the brink of a new era for composable software, where innovative methodologies and AI integration will unlock unprecedented efficiencies in software development. Through his expertise, he empowers tech leaders to embrace change and drive their organizations towards a more adaptable and efficient future.

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What Your Audience Could Learn
How to Successfully Scale Software Systems with Composability

Organizations often face huge challenges in scaling their software systems and maintaining efficient development processes due to the complexity of their codebases. The traditional methods of managing these systems often lead to redundancy and technical debt, making it difficult for teams to innovate and deliver high-quality products on time. This results in frustration and inefficiencies that hinder overall productivity.

On your show, Jonathan will discuss how adopting a truly composable approach can streamline development by creating modular components that are easily reused across projects, making development simpler and much more efficient as systems scale instead of the opposite. He will also share practical strategies for leveraging composability to enhance product quality, improve delivery times, and DORA metrics, allowing organizations to finally overcome their existing software challenges effectively.

Composability as the Key to Unlocking AI’s Potential for Enterprise Software Development

Despite the buzz surrounding AI, many enterprises hesitate to fully adopt it, often due to the fear of the chaos created from uncontrolled AI-generated code and increased technical debt. Developers, meanwhile, often resort to using AI tools informally, creating a patchwork of solutions that leads to further complications. As recent data from Gartner shows, though, organizations lacking a structured approach to AI risk falling behind, with the potential to lag 80% behind competitors who embrace it effectively.

On your podcast, Jonathan will discuss how composability can bridge this gap, transforming AI into a structured, enterprise-grade development approach. He will discuss how this allows a shift from simple code generation to actual code composition, enabling organizations to build software like Lego. By showcasing successful implementations from Fortune 100 companies, Jonathan will provide actionable insights on how enterprise tech leaders can embrace composability and AI to drive efficiency, reduce technical debt, and stay competitive in the market.

Envisioning Software Architecture in an AI-Powered and Composable Future

As tech advancements accelerate, organizations struggle to anticipate the future of software architecture. Many leaders are left wondering what their systems will look like in a few years, and how they can prepare for a future dominated by composability and AI. Sadly, without a clear vision, tech leaders risk falling behind as their competitors embrace innovative architectures that drive growth.

During this conversation, Jonathan will provide a forward-looking perspective on software architecture in a composable world, highlighting what leaders can expect in the next 5 to 8 years. He will discuss the integration of composable components and AI, envisioning a future where software systems are more adaptable, efficient, and innovative. Your listeners will understand the importance of preparing for these changes to stay competitive and seize new opportunities.

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