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Low-Code/No-Code: Democratizing Software Development

Learn how low-code/no-code platforms are revolutionizing software development and empowering organizations.

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It’s no secret software development is no easy task; writing good code is a skill that takes years to master and is a continual learning experience. Coding demands a highly advanced and in-depth understanding of programming languages and development protocols, especially considering the complexity of enterprise applications. It’s certainly not something the average Joe can just pick up and learn.

Demand Vs Supply: The Global Developer Shortage

As more and more processes are automated, this creates a need for new applications, and the bottom-line is there’s a global shortage of skilled developers to meet these application demands.

We’ve reached a point where there are far too many vacancies and not enough highly skilled developers available — despite numerous layoffs — and this shortage is only expected to get worse.

Organizations need to change their approach to combating this shortage. Instead of waiting for a skilled developer to turn up, the focus must shift to simplifying software development, enabling anyone to participate in the development process even without formal training. Enter citizen development.

Citizen development is an approach to software development that revolves around enabling non-IT-trained individuals in an organization to develop software, workflows, and automations without having to rely on skilled coders.

Software Development Doesn’t Need To Be Complicated

Due to ease of use, low-code/no-code (LC/NC) development platforms are leading the citizen development charge. These platforms make software development accessible and fairly easy to pick up due to the straightforward and intuitive interfaces they feature.

With LC/NC platforms, the development process can be as simple as dragging and dropping software elements and linking them to create workflows. The underlying code governing the behavior of these elements is prewritten and designed to help them work together. Thanks to these platforms, developers no longer have to write each line of code individually, freeing them up to focus on more pressing tasks. These platforms also enable those without formal software development training and experience to develop simple applications or software functions. This can significantly shorten development times, enabling rapid delivery.

More and more organizations are beginning to adopt LC/NC platforms into their development process; Gartner predicts that “by 2025, 70% of new applications developed by organizations will use low-code or no-code technologies“.

It’s Not All Smooth Sailing, However..

Yes, LC/NC platforms can greatly speed up the software development process, but they lack the scalability and control traditional coding offers since you’re relying on the functionality of a completely distinct development platform. And while nowhere near as steep as pro-code development, LC/NC platforms do still have a learning curve, especially when you’re someone with limited or zero software development experience. This means training costs will also have to come into the equation when an organization aims to equip a team of citizen developers.

When dealing with citizen developers and their relatively limited skillsets, experts still have an important role to play in the development process. Someone needs to test the applications developed by citizen developers to make sure everything is working as it should, and who better to handle testing than the experts? And it’s not just testing; they can even make optimizations when necessary.

A Future Where Skilled Coders And Citizen Developers Can Work Together

The increasing adoption rates of LC/NC platforms aren’t a threat to developer jobs. These platforms aren’t going to replace them; rather, they can free the experts up to actually focus on critical development tasks instead of repetitive and simple processes.

If anything, the increased adoption rates of LC/NC platforms will drive up the stock of expert coders because we’re looking at a future where anyone can develop software but only a few can code.

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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value

Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.

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at io 2026 sundar pichai concedes ai must deliver real value
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Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.

The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.

Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.

The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.

Also Read: DJI Teases Dual-Camera Osmo Pocket 4P For 2026 Launch

Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.

What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.

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