The Future of Self-Developing Applications

The confluence of Low Code/No Code and Gen AI are fairly and intriguing one. The meet at two ends:
First, at their core, both these technologies work towards democratizing advanced capabilities. That is, letting people with little to no technical background innovate freely and build solutions. 

Second, by their nature, they bridge between high‑level human intent and working digital product overcoming the bottlenecks of traditional, code‑heavy approaches. 

This leads to the two technologies fusing together in multiple ways to form leading to a future of a self-developing LCNC ecosystem.  

Wherein, gen AI helps build LCNC platforms, which in turn leads to the development of Gen AI-enabled applications including LCNC platforms. Ultimately reaching a place where GenAI automatically updates the LCNC ecosystem based on user feedback—an approach increasingly explored within generative AI development services for faster experimentation and delivery. 

Confused? Don’t worry, we will break it down in the coming section in an easy-to-understand manner.  

Let’s start with understanding basics.

What is Low Code/No Code Development in Generative AI? 

Starting from scratch, Low Code/No Code or LCNC is a way of building software applications using visual tools, drag‑and‑drop components, and configuration instead of writing code line-by-line manually.  

As one can guess, this speeds up software product development and even a non‑developers aka citizen developers can build them. 

So, when they are used to develop AI-enabled applications, this is what is low/no code development in GenAI. 

Now, comes the other side of it when Gen AI impact the development of LCNC itself.

How GenAI Impact on Low-Code/No Code Platform Development

Advent of Gen AI has augmented power of LCNC platforms to democratize coding capability from two ends: 

1. When developing LCNC platform using GenAI 

Known to generate new data at lightning speed, Generative AI expedite process of development including that of low-code/no-code (LCNC) platforms.  

Gen AI rapidly churns out code, automating repetitive tasks like writing basic code repeatedly and creating initial versions of the app among others. 

Further, it improves the code accuracy by suggesting context-aware code, learning from user feedback, removing silly mistakes, etc. All this leads to faster development of a more robust LCNC platform. 

This lowers entry barriers for LCNC platform development, allowing non-coders to create such platforms for themselves if they cannot find one or want something highly personalized—an approach often supported by an experienced AI development company working alongside business teams.  

For example, a famous youtuber created a no-code caption generator by combining the power of low-code Agentic capabilities of Google Antigravity and Nano Banana’s image generation. 

Overall, gen AI boosted productivity, cut costs through code reuse and creates room for innovation and scalability, expands LCNC beyond basic templates, enabling complex workflows and better user experiences.  

 2. When GenAI capabilities are infused with LCNC platform 

Built-in GenAI capabilities evolve LCNC platform into an intelligent, self-assistive environments. These platforms become “AI native” merging visual development with AI-driven automation for faster creation of sophisticated apps,  

First, it ushers in prompt-driven development where users just need to input natural language descriptions of the software product and the platform auto-generates it fully with UI, logic, data flows, and even choosing the right AI model for it.  

Second, during development, the embedded gen AI acts as copilot assisting the users with real-time suggestions, errors prediction and handlining, auto-completing workflows, and refactoring code visually.  

Third, after the app have been deployed, GenAI helping in regularly improving and updating the app for deeper and dynamic personalization, anomaly detection and content generation basis user data.  

Through instant prototyping, auto-testing, deployment optimization, and monitoring, gen AI turn weeks of work into hours.

Now comes another important point of consideration that you as a decision maker should know. The convergence of GenAI and LCNC has led to some people pitching the former against the latter. But is it right? Let’s weigh its substance.

GenAI vs. Low/No-Code: Which is Best?

We saw how both technologies let non-coder rival coding experts by faciliateing software production at speed with sophistication.  

However, there is a significance difference how they do it.  

To sum our take on it in one line: generative AI complements rather than replaces low/no-code platforms.  

LCNC offers what can be called a “structured simplicity” via visual builders. The best way to adopt them for business is through a hybrid model i.e. LCNC for quick builds and GenAI for enhancements like debugging or integrations.   

So, by and large, comparing them is of no use. What is more important for you to know is how they complement each other.

Read also: Generative AI in Business: Exposing the Power of Artificial Creativity

One Layer Up: Combining GenAI and LCNC to build GenAI applications

GenAI-embedded low/no‑code platform allows business users to assemble GenAI use cases such as chatbots, content generation, document automation visually just by writing the description in plain English.  

As we also mentioned above GenAI provides users with code suggestions, generates code snippets, predicts next development steps, and flags possible errors. Thereby, effectively acting as an AI pair‑programmer inside the visual IDE.  

On the other side, LCNC give citizen developers visual workflows, components, and connectors to orchestrate prompts, LLM calls, and business logic without knowing the model internals.  

In practice, this is already visible in enterprise low‑code suites that ship GenAI assistants directly in the builder. From forms, flows to data models, and test cases they are creating them basis of prompt rather than making user do manual configuration.

The Future: A Self‑developing Ecosystem of LCNC GenAI applications

Given the multiple ways Generative AI and LCNC platforms fuse together, it starts to appear like “self‑developing ecosystem”. 

Consider a LCNC platform infused with GenAI capabilities.  The GenAI will learn from usage data, adapting to responses and recommendations, so the behaviour of the application improves without a human rewriting code each time.  

The embedded GenAI also supports development. It helps throughout the SDLC from requirements gathering to even post‑deployment monitoring. Thereby, turning it into an AI‑augmented loop.  

And lastly, the generative technology allows these flows to adapt based on patterns in data rather than static rules alone. There emerges a self-developing ecosystem.  

Wherein, LCNC provides the guardrails and structure, while GenAI facilitated development and ultimately platform evolution.

FAQs 

1. What is low no code development in GenAI? 

When you create AI-enabled application using a drag-and-drop capability and visual configuration of a platform, it is low code/no code development in GenAI.  As you can guess, such application can interact with you using natural language. You want to set alarm in your mobile at 6:00 Monday for early jog. Just say it to your app. 

2. What is low-code and No code? 

It is a platform that allows anyone to create software products like mobile app, web app, or website without coding. It helps in automating the whole SDLC from requirement gathering to deployment. In the future, it is supposed to automate monitoring of the already deployed application and enable automated updates and improvement through data analysis of usage logs and user feedback. 

3. Is there coding in GenAI? 

This depends on the user and the platform they are using: 

1. If you are using a GenAI application, it usually involves no coding. One can interact through prompts and get the outcome in the required format/mode.  
2. If you are building GenAI models, it involved coding. This also includes integrating GenAI into products and fine-tuning model. 

4. Is ChatGPT a no-code platform? 

ChatGPT is not a no-code platform in itself. It does not have a drag-and-drop interface, workflow builder, visual editor or prebuild component. However, it does allow users to achieve no-code outcomes through natural language doing away with coding requirement.