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StarCIO Digital Trailblazer Community

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Low-Code Development in the AI Era: What CIOs Need to Know
Isaac Sacoli · 2026-05-25 · via StarCIO Digital Trailblazer Community

Drive has 700+ articles for digital transformation leaders written by StarCIO Digital Trailblazer, Isaac Sacolick. Learn more.

As a CTO working in startups, I embraced low-code development as a Swiss Army Knife for building back-office apps while the dev team focused on customer-facing experiences.

As a transformation-driving CIO, I sponsored governed citizen development for business teams to build apps, dashboards, and integrations. We enabled citizen developers to build workflow innovations in lower-priority areas for IT or in domains that required significant business knowledge.

Team developing AI software and engineers discussing project at construction site

And now, as StarCIO’s Chief Digital Trailblazer, I advise SMBs and enterprises, especially those in manufacturing, construction, and nonprofit sectors, to leverage low-code, and primarily no-code, as the foundation for their business processes, field operations, and analytics.

Don’t customize your ERP, avoid SaaS sprawl, and reduce spreadsheet abuse. Instead, build foundational data capabilities, AI-enabled workflows, and employee experiences.

Will AI agents, vibe coding, and spec-driven development disrupt low-code, no-code, and citizen development? Or, will the need to develop AI agents become an evolutionary step up for low-code development platforms and the builders who love using them?

Here’s what CIOs need to know about low-code development in the AI era.

Spec-driven development is the evolution of low-code development

Last week, I attended Quickbase Empower 26.

I’ve been a Quickbase builder for over 25 years, first bringing the platform to my startup and developing a rudimentary ad network with it. Since then, I’ve used it as a portfolio management tool, the backend tool for this blog, an integration process for StarCIO’s content, a workflow tool for data analysts, and a marketing tool for managing book launch events – and many other use cases. I’ve also written about using Quickbase in manufacturing, construction, and government.

Quickbase is adding AI capabilities to its core platform and has recently launched a new independent AI product. Here’s a recap of what was announced at Empower 26.

Pave your way to AI applications

Quickbase Pave
Quickbase Pave

Quickbase announced Pave, a new tool for vibe coding applications. Register and prompt to get started, but then you’ll see it creates artifacts that more closely align with spec-driven development.

Pave will produce a data model, including tables and relationships. Governance is a primary feature, and Pave lets you configure users, groups, and entitlements to manage the application’s security. Pave also lets you set a UI theme, make design changes directly on the UI, and configure end-user notifications.

You can test Pave for free, and then you pay on a per-user model for applications going to production. You aren’t using tokens to experiment.

Pushing to production is Pave’s value add – it runs on Quickbase’s secure infrastructure and application architecture. There’s no configuring cloud environments, setting up Kubernetes, or configuring deployment pipelines.

Pave is really “no-code vibing.”

Some notable features are on Quickbase’s roadmap, including MCP integrations and the ability to use Pave to build or update Quickbase apps. 

Why this matters: Vibe coding for business teams.

Many code-generation tools end their functionality once code is generated, leaving all DevOps tasks and responsibilities to the developer. This includes validating code, testing the application, configuring cloud infrastructure, and all the deployment steps.

Other spec-driven tools are embedded in SaaS platforms, so IT needs licenses to develop and deploy on them.

Pave is an independent platform that hides all the technical details from the builder and runs on the secure infrastructure that’s been powering Quickbase customers’ critical applications for over two decades. Pave is a tool that IT leaders should feel comfortable handing over to business teams without getting them into the technical weeds, but with a secure path to take experiments into production.

Accelerate intelligently with AI embedded in a no-code platform

Quickbase AI Agent
Quickbase AI Agent

Quickbase is extending its core platform’s AI capabilities. Last year, they announced Smart Builder, a tool for vibe coding a Quickbase application, including its table structure, forms, and initial reports. This year, they announced an Intelligence Package with AI actions, an AI Control Center, an AI Agent, and a Data Analyzer.

  • Quickbase’s AI Agent acts like an assistant in two ways. It can work across Quickbase applications to query data, perform analysis, and take actions on data. It can also assist Quickbase builders in extending applications and pipelines.
  • The AI Control Center is a governance tool that lets admins control which users can access the different AI capabilities.
  • AI actions include document processing with data extractions that can trigger automations.
  • Data Analyzer works well with historical data and uses machine learning to make predictions.

Why this matters: Developing a scalable no-code app portfolio.

Growth of Quikcbase apps at BMS
Growth of Quikcbase apps at BMS

At Quickbase Empower 26, I spoke with builders from SMBs and enterprises. Larger companies have hundreds of apps on Quickbase, and I spoke with an enterprise leader at a Center of Excellence managing thousands. Instead of vibe coding hundreds of siloed applications, these no-code evangelists using Quickbase found ways to create a scalable, standardized, and governed development process while creating cross-app data layers. The new AI capabilities announced at Empower 26 amplify end-user and builder capabilities.

Connect field ops with the back office

Quickbase Asset & Team Tracker
Quickbase Asset & Team Tracker

Digitizing field operations is not just about operational efficiency and improving quality – it also improves worker safety

Field operation features reviewed at Empower 26 include an AI asset and team tracker and an AI label scanner. Quickbase’s recent acquisition of Solvice includes advanced routing and scheduling that account for real-world constraints and automatically re-optimize routes when disruptions occur. 

Why this matters: Establish feedback loops between ops and the back office.

Many platforms focus on back office operations, while other  SaaS and mobile dev tools support field operations. Quickbase is one of the few platforms investing in and integrating AI, data, and workflow, connecting the field to the back office. The direct integration enables faster feedback and decision-making loops, driving efficiency and improving customer experiences.

Why review Quickbase?

Quickbase Platform
Quickbase Platform

I’m amazed at what citizen developers have built and support with Quickbase.

Quickbase is not a no-code toy with glitzy screens focused on simple project management and team collaboration. It also avoids the complexity of many low-code platforms that require system integrators to help enterprises get started with app development.

For CIOs with significant tech debt and app modernization needs, Quickbase can accelerate modernization without requiring cloud configuration or other DevOps steps. For IT leaders with limited development expertise, Quickbase enables builders, both within and outside IT, to develop and manage sophisticated applications. With the added AI capabilities, Quickbase is positioning itself for another decade of empowering developers and enabling customer outcomes.