Low-Code, AI, and the reality behind the hype
AI is changing how engineers build software. With tools that can generate working code in minutes, it’s tempting to believe we’ve reached a point where traditional development, architecture, and even low-code platforms are becoming obsolete in a World of AI hype.
But is that really the case?
In the next issue of our newsletter, we’ll be releasing a new JFDI whitepaper, Low-Code Platforms in the Age of AI. It takes an eyes-wide-open approach at where AI-driven development genuinely helps and where it introduces new risks. Explore how many low-code promises can fall apart under real-world complexity.
JFDI’s R&D Director
Written by JFDI’s Director of Research & Development, Jon Silver. The paper presents opinions on topics like “vibe coding”, agentic AI, and code-at-scale; it explores the dangers of mounting technical debt and security blind spots, to the long-term burden of ownership that doesn’t disappear just because code was generated quickly.
Importantly, the whitepaper offers valuable insights and recommendations in addition to its analysis. It outlines what AI-assisted development done properly looks like and why platforms designed from the ground up to work with AI, rather than fight it, are key to building serious business applications at speed.
If you’re responsible for digital delivery, application strategy, or separating genuine innovation from the latest round of technical hype, this is one you won’t want to miss out on.
Subscribe to the JFDI Brief to receive our new whitepaper when it launches in the December edition, along with latest insights on how to modernise, migrate and build faster.
Latest news See all
JFDI’s latest application now available on the Microsoft Marketplace
As the part of the Microsoft’s Independent Software Vendor enrollment, we are expanding our application portoflio in the Microsoft’s Marketplace. For us being an ISV is not just a badge. It is testiment of the work we have been doing for years: building tools that solve real-world challenges inside the Microsoft 365 ecosystem. Currently, in […]
SharePoint Metadata Automation in Practice: What AutoTag Actually Fixes
In SharePoint environments, metadata automation is often the difference between content that is merely stored and content that is genuinely usable. Most organisations understand that metadata underpins search, governance, compliance, and increasingly, AI-driven discovery. In practice, however, SharePoint metadata is frequently inconsistent or ignored altogether. Libraries grow faster than expected. Users prioritise speed over structure. […]
The focus of ESPC 2025
ESPC 2025 is clearly shaped by one dominant theme: AI in SharePoint and Microsoft 365. Across keynotes, talks, and hands-on workshops, the focus is on what is now possible from AI-assisted search and content discovery to the practical use of Microsoft Copilot in everyday work. What stands out is the growing expectation that SharePoint environments […]