
AI News
29 Mar 2025
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AI Enhances But Won’t Replace Low-Code and No-Code Tools
AI boosts low-code app creation—84% say it won’t replace, but enhance how we build smarter, faster.
AI Is Changing How We Build Apps
AI and Low-Code Development- Artificial intelligence (AI) keeps getting smarter. Many companies now use it to speed up tasks and help workers do more. One area where AI is gaining ground is software development. But as AI grows, some people wonder if it will take over low-code and no-code tools.
Low-code and no-code tools help people build apps without needing to write a lot of code. These platforms are often used by people who are not software developers. A new survey shows that most people still believe AI will enhance these tools but not replace them.
Survey Shows Strong Support for Low-Code and No-Code
A recent survey taken in early 2025 asked over 2,000 IT professionals and business users from around the world if they believe AI will replace low-code or no-code tools.
Here’s what they said:
- 84% believe AI will not replace low-code or no-code tools
- 62% say AI will help improve how these tools work
- 9% think AI may fully replace these platforms someday
This shows strong confidence in the future of low-code and no-code platforms.
Why People Prefer Low-Code and No-Code Platforms
There are clear reasons why these tools remain popular, especially among non-developers.
Easy to Use
- People don’t need deep coding knowledge
- Users can drag and drop elements to create apps
- Business teams can build tools without waiting for IT support
Saves Time and Money
- Faster to launch new apps or tools
- Reduces cost of hiring full-time developers
- Helps companies solve problems quickly
Control and Flexibility
- Teams can update things without major disruption
- No need to rely on outside vendors or consultants
- Lets users test ideas quickly
These benefits make low-code and no-code tools a top choice for small businesses, startups, and even large companies.
How AI Fits Into the Picture
Even though AI will not replace low-code tools, it is playing a bigger role in how they evolve. AI is helping these platforms do more and reduce manual tasks.
AI Can Help Write Code Snippets
AI can offer smart code suggestions. It looks at what the user is trying to build and recommends code to speed up the process. This is especially helpful for users who only know some basic coding.
AI Can Fix Errors Faster
If something breaks in a low-code app, AI can point out the problem. This means fewer bugs and less time spent fixing issues.
AI Can Analyze Data for Better Decisions
Some low-code platforms now use AI to study how users are using the apps. This helps teams improve the user experience and make better updates over time.
AI Can Help Automate Workflows
AI can watch how people work and suggest better ways to automate steps. For example, it might help create a faster order process or better customer service tool.
AI + Low-Code = A Strong Team
It is not about choosing AI or low-code tools. These two can work better when combined. Many businesses are blending both to save time, improve quality, and help teams work smarter.
For IT Teams
- AI helps by reducing manual coding
- Low-code tools help junior developers build faster
- Both support faster testing and deployment
For Business Users – AI and Low-Code Development
- They can build the tools they need without software teams
- AI can guide them during app creation
- Less need for deep tech skills to get good results
The Demand for Low-Code Solutions Is Growing
Reports from tech research firms show a rise in businesses using low-code platforms. In fact, experts expect the market for these tools to grow by over 20% each year until 2030.
This growth is not only in tech companies. Many industries now use no-code and low-code tools, including:
- Healthcare
- Retail
- Finance
- Education
- Manufacturing
From automating simple tasks to building customer support tools, these platforms are proving useful in many ways.
Challenges Still Remain
Even with growth and support, using low-code tools has its own challenges.
Limitations in Features
Some tools may not support complex applications. You may still need developers for projects that require full control or custom features.
Security Concerns
Since more people can build and publish apps, companies need strong rules to manage risk and protect data.
Learning Curve
While simpler than traditional coding, teams still need training. Understanding how to use these tools right is important to avoid future problems.
What the Future Looks Like
Low-code and no-code tools are not going away. AI will make them better but will not take over. Most users want tools that help them work faster without needing to become coders.
What to Expect:
- Smarter low-code platforms powered by AI
- More companies building custom tools in-house
- Shorter app development cycles
- Greater support for users with no coding background
The message is clear: AI will help, not replace. People still want control, speed, and tools they understand.
Conclusion – AI and Low-Code Development
The survey results show trust in low-code and no-code platforms. AI adds value but does not take over. Both work best together. As tech changes fast, the goal stays the same: let more people build useful tools with less effort.
(Source: https://insideainews.com/2025/03/27/survey-84-say-ai-wont-replace-low-code-and-no-code-tools/)
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