In this episode, Jouke Waleson, CTO and founder of Comper, shares insights on the future of software development, the role of low code, AI-generated code, and how organizations can better understand and manage their software assets. Key Topics -The evolution of programming and low code -The impact of AI on software creation -Dark code and unknown software assets -The importance of models and structured code -Collaboration between IT and business in software development -Technical debt and enterprise software challenges -Reusing and restructuring existing software -The future role of AI in enforcing best practices

From Low-Code to Vibe Coding: Jon Higginbotham's Journey and Insights Explore the fascinating transition from low-code platforms to vibe coding through the experience of John Higginbotham, managing partner at Paradigm Inc. In this episode, we delve into how this shift is transforming internal tools, application development, and enterprise strategies. Main topics include: -John's unconventional start in culinary arts and transition to low-code development -The evolution and differentiation of vibe coding compared to traditional low-code platforms -Practical use cases for vibe coding in internal business tools, prototyping, and complex workflows -The impact of AI augmentation tools on software development and platform capabilities -Cost considerations, vendor lock-in, and the strategic direction for firms embracing vibe coding -The influence of evolving business models and market trends on platform adoption

Pardon the provocative title, but the term "low-code" is certainly passe. Even the guy that invented the term agrees. ;) Here's the thing though; much of the functionality of low-code platforms will become more critical than ever. In this episode of Low Down on Low-Code the entire Analysis.Tech research team discusses: -How vibing and vibe coding have forever changed the world of development -The opportunities for a new world of business-first developers to build new classes of applications -The critical role of a model in building and maintaining many applications -How a well-designed platform can be leveraged to drive consistency, lower costs and avoid risk -Why we are at a moment in time where over-rotation on AI development could be very unwise

In this episode of 'The Low Down on Low-Code', Rick Greenwald, John Rymer, Tony Baer, and Matthew Housley discuss the intricate relationship between developers and data management, the impact of AI on data practices, and the importance of data governance. They explore the tensions between speed and quality in software development, the need for collaboration through fusion teams, and the challenges posed by AI in data management. The conversation emphasizes the necessity of understanding data quality, security risks, and the future of data architecture in an increasingly AI-driven landscape. Takeaways -Developers often prioritize speed over data quality. -Data governance is essential for ensuring data correctness. -AI can significantly impact data management practices. -Collaboration between developers and data professionals is crucial. -Understanding data context is vital for effective governance. -Security risks are heightened with the use of AI and agents. -Fusion teams can help bridge the gap between business and tech. -Data quality issues can lead to significant business risks. -Training on data risks is often lacking in the industry. -Starting simple with AI and orchestration is a best practice.

In this episode of "Low Down on Low-Code," hosts Dave Marcus and Rob Koplowitz welcome Nick Ford, former CMO of Mendix and now an advisor in the low-code space. Nick shares insights from his extensive career in software development, particularly focusing on the evolution of low-code platforms and the emerging trend of vibe coding. He discusses his 'six truths' about low-code, emphasizing the importance of strategic vision over mere speed in application development. Nick argues that while low-code platforms have made software development more accessible, organizations often fail to leverage them effectively, leading to fragmented solutions that lack long-term value. He also explores the role of vibe coding in accelerating development processes and how it complements low-code solutions, suggesting that the future of software development will require a balance between Takeaways -'It's never about the technology; it's always about you.' -'Organizations that succeed think about what they are building, not just how fast.' -'Vibe coding is about flow; it allows you to stay in the problem space.' -'The challenge is how to break the loop of building artifacts.' -'Agents will play a significant role in the future of software development.'

John Rymer hosts Dave Marcus to discuss new research on the importance of effective channel partner strategies in the AI era. They explore common mistakes vendors make, the necessity of commitment and enablement, and the evolving landscape of channel partnerships. The conversation emphasizes the need for vendors to understand their channel partners' business models and to provide adequate support to ensure success. Takeaways The channel business is an accelerator for vendors. Vendors must understand the value of their offerings to the channel. Commitment is essential for effective channel strategies. Channel partners have more choices than ever before. Enablement is crucial for channel partners to succeed. Compensation strategies must be competitive to attract partners. Understanding expectations is key to partnership success. Vendors need to align with channel partners' business models. Feedback from partners is vital for continuous improvement. The landscape of channel partnerships is evolving rapidly.