No Code And Low Code Tools Are Rising In Popularity

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Canumil Flowers

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Jun 30, 2024, 9:19:05 AM6/30/24

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No and low code users will still need developers and engineers to help build their dreams. That brings me to the second big concern from developers: do low and no code tools lower overall dependency on developers? What does that mean for their jobs?

no code and low code tools are rising in popularity

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The last few years have seen a dramatic shift take place in the way that businesses operate. This includes a move towards eCommerce, remote work and automation. And this development of online infrastructure has been greatly facilitated by the rise of AI, and no-code/low-code tools.

For many years, there have only been two options for businesses looking to develop custom applications: buy a software license for a ready-made app from an existing vendor, or hire engineers to build and customize an app in-house.

No-code/low-code tools utilize intuitive, graphical interfaces, as well as functionality like drag-and-drop. This simplifies the process of application development, spurring greater innovation, without adding to the burden of developers and IT specialists.

No-code tools allow users to build applications without writing a single line of code. Low-code tools offer a similar user-experience, but provide an augmented development environment where code writing remains a part of the process.

No-code development reduces the turnaround time for projects that would traditionally require weeks or months to complete. No-code tools allow organizations to build and launch new applications faster, and with far fewer hiccups along the way.

Traditionally, software development was an isolated field, restricted to those with specialized knowledge. No-code tools are helping to break down the technical divide and create a more integrated landscape for the formation of new ideas, development, and innovation.

Coding custom applications requires designers, engineers, and testers. Not only do organizations need to hire specialized talent, they need to invest ongoing resources into maintaining legacy systems.

Although WordPress is a no-code website builder, some users maintain that it requires at least some technical knowledge to build a successful application on the WordPress platform. There are also many developers who make a living from WordPress because they know how to code.

In reality, WordPress occupies the middle ground between code and no-code. However, with the evolution of Gutenberg (the new block editor) and full site editing, WordPress has cemented itself as the no-code platform of choice for content creators.

The rise of no-code presents WordPress with a huge opportunity to expand its use as a no-code development platform. With thousands of free and paid plugins available, WordPress has become a flexible and robust platform for creating scalable web apps.

With a 43% website market share, WordPress occupies a pivotal position in the world of no-code tools. However, according to Joost de Valk, for this growth to continue, WordPress will need to perfect the full site editing experience and improve its performance.

In this post, we looked at the rise of no-code tools along with the rising popularity of WordPress as a website and web application builder. We also presented some mind-boggling statistics relating to no-code/low-code, WordPress, and automation technologies.

This is the voice of the developer. Analysts, IT leaders, reporters, and other developers turn to this report to stay up to date with the evolving developer experience, technologies that are rising or falling in favor, and to understand where tech might be going next.

This year, we went deep into AI/ML to capture how developers are thinking about it and using it in their workflows. Stack Overflow is investing heavily in enhancing the developer experience across our products, using AI and other technology, to get people to solutions faster. Stack Overflow Labs is where we're sharing all we're doing - check it out for a deep dive on AI/ML insights as well as see what we're experimenting with so far.

People learning to code are more likely to be using npm or Pip than Docker (50% and 37% respectively vs. 26%). Both are used alongside languages that are popular with students (JavaScript and Python respectively).

Why complicate it? Jira and Confluence are the top two async tools amongst all developers similar to last year, but this year a new addition to the list broke top three: 27% of respondents use markdown files as an async tool.

Rust is the most admired language, more than 80% of developers that use it want to use it again next year. Compare this to the least admired language: MATLAB. Less than 20% of developers who used this language want to use it again next year.

More respondents want to continue using Cargo next year than the top competitors (top 6 tools that respondents want to use next year), however, Docker has almost double the proportion of respondents that want to use it next year compared to all other options.

70% of all respondents are using or are planning to use AI tools in their development process this year. Those learning to code are more likely than professional developers to be using or use AI tools (82% vs. 70%).

Hybrid is here to stay for larger organizations; over half of employees in 5,000+ organizations are hybrid. The smaller organizations are most likely to be in-person, with one out of five organizations with fewer than 20 people report being in-person.

More developers this year are working in-person this year than last year (+2%). Return to office initiatives aside, coding easily lends itself to fully remote work and one third or more of all organization sizes are still fully remote.

63% of all respondents spend more than 30 minutes a day searching for answers or solutions to problems. People managers are more likely to spend less time searching than individual contributors (42% vs. 36% spend 30 minutes or less).

For the developers who are learning to code, more than half are between 18-24 years old, so it makes sense that they are more likely to not have a Bachelor's degree. They are likely still in school.

Like previous years, technical documentation and Stack Overflow are the top online resources people use when learning to code, with blogs rounding out the top three. Well-written documentation, an active community providing solutions, and regular posts are the trifecta of enabling people to teach themselves about a technology.

The top ten countries account for 60% of all respondents. Germany overtook India to move into second place this year, a reverse of 2022's placement. Australia broke into the top ten, coming in at ninth and displacing Spain this year.

This year, PostgreSQL took over the first place spot from MySQL. Professional Developers are more likely than those learning to code to use PostgreSQL (50%) and those learning are more likely to use MySQL (54%).

AWS remains the most used cloud platform for all respondents. AWS handily makes it to the top spot, almost doubling the percentange of the second most used cloud platform for all respondents, Azure.

People learning to code are using AWS (19%) at parity with two other cloud platforms (19% Google Cloud and 19% Firebase) but use Azure much less than all respondents (11% vs. 26%). Interestingly, Heroku was the most used cloud platform last year by those learning to code but it dropped to fifth most used this year.

Professional Developers use both fairly equally and those learning to code use Node.js more than React (52% vs. 48%). jQuery and Express are the next two popular web technologies for all respondents, and jQuery is used more by Professional Developers than those learning to code (24% vs 18%), whereas Express is used more by those learning than professionals (25% vs. 20%).

This year we disaggregated .NET to be more specific, and specifically .NET (5+) is top of the list again this year for other frameworks and libraries. Those learning to code are using NumPy and Pandas more than .NET (5+).

We added a few new options this year as well, and see RabbitMQ is fairly popular with professionals (14%). Python-compatible libraries continue the trend of scoring higher in this category amongst those learning to code, like last year, but interspersed amongst old favorites and new options, we see Opencv and OpenGL rise up into the top 10 list (13% and 11% respectively).

The three most popular synchronous tools are universal for all respondents: Microsoft Teams, Slack, and Zoom. Zoom was top of the list last year but is third place this year with about 10 percentage points fewer people having worked with it in the past year.

This is a new section this year, and respondents' top choice for AI search tools is ChatGPT: 83% of respondents have used it in the past year. This is above and beyond the second choice of Bing AI with 20% having used it.

The hype around emerging AI search technology has room to grow while the ChatGPT competitors grow their user base; only four tools had 10% or higher selection for those that want to try it in the next year.

In the past, companies mainly relied on quality engineers to create the test scripts required to maintain operations. However, problems inevitably occurred, especially as labor scarcity spread and exposed many firms to broken or ineffective procedures because of a lack of confidential information and personnel.

The emergence of Low-code automation solutions to assist businesses in mitigating such issues has been gaining prominence. Low-code automation helps in testing applications at a quicker pace by planning, generating, and executing end-to-end tests. The major advantage is that low-code tools need little coding knowledge that gradually reduces the reliance on testing teams and enables non-technical business users to easily develop test cases.