Low-code is Dead. Long Live Low-Code.
by Stefan Captijn, Director Product Marketing Neptune Software
For IT executives responsible for SAP landscapes, the conversation about vibe coding and AI is not about whether developers will use natural language instead of drag and drop. It is about how the economics, governance, and operating model of enterprise application development are changing.
AI has removed friction from the front end of software creation. The first draft of an application can now be generated in minutes. Screens, workflows, integrations, even data structures can be proposed automatically. That is impressive, but for CIOs and enterprise architects, the first draft was never the bottleneck. The real constraints have always been integration complexity, security alignment, transport management, compliance, lifecycle ownership, and operational support.
This is where the narrative around low-code must evolve. Low-code as a visual development shortcut is no longer the story. Low-code as a governed execution platform becomes the strategic layer. AI increases the speed of generation. The platform must absorb that speed without creating architectural debt.
In SAP environments, this tension is amplified. SAP landscapes are deeply interconnected systems of record that run core business processes. Extension is not optional, but it must respect clean core principles, authorization models, transport mechanisms, and hybrid infrastructure realities. When AI accelerates application creation, it increases the risk of fragmentation unless the extension layer is structured, governed, and architecturally aligned.
The impact for IT leadership is twofold:
First, output increases. Business units can design and deploy process applications with embedded AI capabilities significantly faster. Agentic components can handle classification, document interpretation, exception handling, and workflow routing without extensive custom coding. Applications move from static UI forms to intelligent process surfaces that reduce manual effort and cycle time. This directly affects operational KPIs such as order processing speed, field service response times, approval throughput, and quote generation cycles.
Second, complexity shifts upward. Developers evolve into architects and quality controllers. IT becomes the orchestrator of guardrails rather than the builder of every component. Governance frameworks must define what can be generated, how it integrates with SAP, how it is secured, and how it is supported. Without that structure, AI multiplies risk instead of productivity.
This is why platforms matter more in an AI-driven world. As generation of code, applications & AI agents becomes easier, the differentiation moves to lifecycle management, integration discipline, observability, and enterprise alignment. The platform must unify multiple development modalities, natural language, visual modeling, and pro-code, within one consistent application model. It must ensure that what is generated can be transported, audited, secured, and operated at scale.
For SAP-centric enterprises, Neptune is positioned at this exact intersection. Neptune is not simply a UI builder or a rapid prototyping tool. It is an extension platform designed for SAP realities. It aligns with SAP authorization models, supports hybrid deployments, respects clean core principles, and enables applications to run close to the business logic they extend. When AI accelerates the front end of development, Neptune provides the structural integrity on the back end.
The result is not just faster app & AI agent creation. It is the ability to build SAP extensions that are intelligent by design, governed by default, and scalable from day one. AI becomes embedded in the application layer to automate process execution, assist decision making, and orchestrate process steps. The enterprise retains control over architecture, compliance, and lifecycle.
Neptune helps organisations by adopting this evolution where vibe-coding, no-code, low-code and integration, governance and integration are all managed through the Digital Experience Platform through 6 critical capabilities:
- SAP-Native Extension Model with Clean Core Alignment
- Unified Development Model from No-Code to Pro-Code
- Reuse of SAP Logic, Roles, and Security
- Hybrid and Flexible Deployment Architecture
- Reduced Middleware and Integration Overhead
Low-code is not disappearing. It is being redefined. It moves from being a visual productivity tool to becoming the controlled abstraction layer that allows AI-driven development to operate safely inside mission-critical SAP environments.
For IT executives, the opportunity is clear. The organizations that succeed will not be those that generate the most apps. They will be the ones that combine AI acceleration with platform discipline, delivering intelligent SAP extensions at speed without compromising architectural integrity.
Low-code is dead as a category label. Long live low-code as the enterprise platform for AI-driven SAP application development.
