It’s no secret that the marketplace for AI instruments and providers is quickly rising. Based on Statista, for instance, the worth of the AI market in 2025 guarantees to achieve a staggering $243.7 billion and develop at a fee of 27.67% per yr, reaching $826.7 billion by 2030.
This astonishing growth has been made potential largely by varied AI functions, similar to in advertising & gross sales, customer support, automotive, and, after all, software program growth.
Recognizing the potential of synthetic intelligence for creating software program options, many tech firms from startups to giants like Microsoft, IBM, and Google have invested closely in AI assistants and AI-related analysis and growth.
However is AI all the time good in software program growth and what do you have to take note of when selecting a contractor that makes use of synthetic intelligence in growth processes?
Why Purchasers Ought to Care About AI Integration in 2025
Recently, AI integration has change into a type of indicator of the speed of a tech firm and the way a lot it retains up with the occasions. It’s believed that suppliers utilizing AI coding assistants like GitHub Copilot and Cursor IDE can visibly speed up coding, scale back prices, and enhance software program high quality.
Much more spectacular is the rise of AI fashions like Claude Sonnet 3.7, which now leads the sphere with each its common and pondering variations. These superior fashions assist builders generate, refine, and troubleshoot code extra successfully than ever earlier than.
Two years in the past, Statista calculated that software program builders utilizing an AI assistant completed their work virtually twice as quick as these working with out one. Which means one developer with AI programs might get as a lot finished as two human builders with out it.
Distinction in software program growth duties with and with out AI capabilities, Statista
Nonetheless, though there are lots of advantages of implementing AI assistants into software program growth workflows, there are additionally some information safety considerations for software program firms.
As a result of many AI fashions be taught from public code repositories like GitHub, they will generate code that by chance violates open-source licenses. For instance, instruments like Copilot don’t present credit score to the unique authors, which is usually required.
Even worse, AI can generally copy current code word-for-word, which means software program growth groups may unknowingly use copyrighted code, placing their firm in authorized problems.
Past legal responsibility considerations, AI-generated code can introduce safety dangers. AI builders might unintentionally leak proprietary algorithms or confidential information, which might break an organization’s aggressive edge.
Extra dangerous, AI-generated code may expose delicate data like hardcoded credentials, database connections, or private buyer information, placing each the enterprise and its customers in danger.
In 2023, for instance, Samsung Electronics banned its workers from utilizing ChatGPT and different AI-powered chatbots, changing into one in every of a number of firms to tighten measures on using generative AI for software program growth.
The actions have been taken after the unintentional leak of confidential inside supply code was found by an engineer who uploaded it to ChatGPT.
The Function of AI Inside Improvement Cycles
AI instruments have change into an everyday a part of each day work for a lot of IT professionals. Greater than 50% of all machine studying engineers use AI daily, and practically as many information scientists depend on it simply as usually.
Again-end and full-stack builders additionally make good use of AI in software program growth, although a bit much less ceaselessly, with about one in three utilizing these instruments each day. However what precisely can AI do?
Code Writing
As we already talked about, AI coding assistants like GitHub Copilot, Cursor IDE with the assistance of Claude Sonnet 3.7 and different LLM’s have considerably improved coding pace and accuracy. They don’t simply recommend snippets—they generate total capabilities, refactor code, and even translate it between programming languages.
Fashionable IDEs like VSCode IDE now combine AI-powered growth modes that proactively edit information, repair errors, and generate new code.
- In GitHub Copilot, this is named Copilot Edit.
- In Cursor, an analogous characteristic is known as Composer.
These AI-driven modes enable for hands-free code enhancements, the place the assistant not solely suggests however actively modifies the codebase in real-time.
Most used synthetic intelligence instruments amongst builders as of 2024, Statista
Code Testing: Guide and Automated
Past dashing up growth, AI applied sciences are additionally enjoying a major function within the testing part.
As an example, as an alternative of getting a human tester click on by way of each button, type, and menu, AI-powered instruments can simulate consumer actions to immediately spot any gaps, making testing far more thorough.
AI can even create take a look at instances by itself by inspecting the code and foretelling the place issues may pop up.
That is particularly helpful for checking if particular person capabilities work accurately and demonstrating totally different elements of the applying perform collectively as demanded.
With instruments like Selenium and Cypress that leverage AI, builders can even take a look at web sites by simulating how customers work together with them in a browser. Another AI-powered frameworks may even create take a look at instances by themselves, saving builders time.
Code Safety and Management
One of many essential considerations in software program growth is defending code from safety dangers, similar to unauthorized entry or information leaks. AI options, in flip, can autonomously scan the code for any potential safety flaws and even recommend fixes earlier than they change into disastrous.
How SCAND Makes use of AI in Software program Improvement: With Your Full Consent
At SCAND, we’ve totally embraced AI assistants to make software program growth sooner, smarter, and extra protected.
We, like lots of our colleagues, use AI coding instruments like GitHub Copilot to hurry up growth, serving to our software program engineers write code a number of occasions sooner.
However we don’t simply blindly depend on AI-generated code—our builders rigorously study and refine every little thing to ensure high-quality software program functions. The consequence? Quicker supply occasions with out sacrificing reliability.
However AI doesn’t simply assist us write code—it additionally makes testing extra affordable. We use AI-powered instruments for each guide and automatic testing to catch points earlier than they attain manufacturing.
AI can even generate automated take a look at instances straight from the code, ensuring nothing slips by way of the cracks. This implies fewer bugs, higher efficiency, and a trouble-free app interplay for finish customers.
However an important level in our use of synthetic intelligence is that we embed AI into software program growth solely when shoppers explicitly conform to it, which suggests no surprises and no hidden information sharing.
For individuals who query information safety when integrating AI, we will domestically run AI fashions like LLama (3B/8B parameters), StarCoder and DeepSeek-R1. This fashion, shoppers get all the advantages of AI whereas protecting their code fully personal.