Process Automation · Low-code and no-code
Low-Code and No-Code Platforms: A Faster Way to Build Custom Apps
Building custom applications traditionally takes a lot of time, expertise and resources, especially without an in-house development team. Low-code and no-code platforms turn this into a visual toolkit that lets business teams build apps and automate workflows.
Julia Rose
Key takeaways
- No-code platforms need no programming at all, while low-code also allows custom code for more complex features.
- They suit prototypes, automating routine workflows, applications with moderate customisation needs and projects with scarce developer capacity.
- Limits show with highly specialised applications, integration with legacy systems and strong growth.
- AI adds features such as text understanding, data analysis and decision support to low-code applications.
What are low-code and no-code?
Low-code and no-code describe software development approaches that simplify building applications. Users design workflows visually and arrange pre-built blocks by drag and drop into a logical sequence. Behind the blocks is code that stays hidden from them.
| No-code | Low-code | |
|---|---|---|
| Programming | none | little, custom code possible when needed |
| Target group | business teams with a basic grasp of digital tools | developers and technically skilled teams |
| Flexibility | limited to available blocks | higher, including special features and integrations |
| Best for | prototypes, simple workflows, approvals | customer-facing apps, connecting other systems |
The term low-code has been in use since around 2014 and builds on earlier approaches such as rapid application development, which produced quick prototypes in the 1980s and 1990s. No-code simplifies the process even further. Many platforms include connectors for other applications and backend systems and are quickly becoming tools for increasingly complex applications.
“Technology should support business, not the other way around. Low-code and no-code shine where speed, automation and efficiency matter most.”
Where low-code and no-code make sense
- Prototypes and MVPs: a business idea can be built and tested quickly, without the time and cost of full development.
- Automating routine workflows: business teams can automate data entry, approvals, scheduling or reporting themselves.
- Customer-facing applications: low-code produces apps with integrations and custom features faster than classic coding.
- Scarce developer capacity: business units can build applications themselves and take pressure off IT.
The limits of low-code and no-code
Limited customisation
No-code is built for simplicity, which becomes a limit for very complex or specialised applications. Many tools allow custom code, though, and low-code gives more control over integrations and custom development.
Integration
Connecting to existing infrastructure can be difficult, especially with legacy systems or third-party software. Where there is no ready-made connector, data can often be exchanged via APIs, which takes integration experience.
Scalability
For fast-growing applications, no-code platforms reach their limits. Many modern tools now support classic databases and therefore larger data volumes, and low-code allows deeper customisation when more control is needed.
Low-code and AI together
Low-code applications become more capable when AI features are added: understanding documents and emails, analysing data, preparing decisions. That combines the speed of visual development with the possibilities of AI, without long development cycles.
theBlue.ai works with Wavestack for this, a brand of the Apollogic group specialising in low-code and no-code platforms for process automation and app development. Together, Apollogic, Wavestack and theBlue.ai designed, for example, a full-day Copilot workshop for four departments of a real estate developer.
In practice: workshop with Wavestack
Marketing, legal, technical and operations teams at a real estate and project developer learned in one day how to tackle their own bottlenecks with generative AI and Microsoft Copilot, up to building their own GPT assistants.
Whether low-code, no-code or classic development fits better depends on the process. Our article choosing an AI provider for process automation covers how to approach this.
Low-code, no-code or custom development?
We work out with you which route fits your process and where AI features make the biggest difference.
Request a process analysisFrequently asked questions
No-code needs no programming at all and is aimed at business teams. Low-code needs little code but allows custom extensions and suits more complex features and integrations.
Prototypes, automating routine workflows, customer-facing applications with moderate customisation needs and projects with scarce developer capacity.
With highly specialised applications, integration with legacy systems that lack ready-made connectors and applications that grow very strongly.
Yes. AI adds features such as document understanding, data analysis and decision support to low-code applications.
Julia has been part of theBlue.ai since 2019 and has accompanied the development of AI applications in the enterprise environment since the company’s early days. In her role as Marketing Lead, she works closely with the engineering and consulting teams and makes complex technical topics understandable and accessible for decision-makers.
In her articles, she writes about practical experience from enterprise AI projects, as well as the challenges and opportunities of using AI in companies.