It’s no secret that the marketplace for AI instruments and providers is quickly rising. In keeping with 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 12 months, reaching $826.7 billion by 2030.
This astonishing growth has been made attainable largely by numerous AI functions, akin to in advertising and marketing & gross sales, customer support, automotive, and, after all, software program growth.
Recognizing the potential of synthetic intelligence for creating software program options, many tech corporations 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
These days, AI integration has grow to be a form 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, cut 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 considering 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. Because of this one developer with AI programs may get as a lot accomplished as two human builders with out it.
Distinction in software program growth duties with and with out AI capabilities, Statista
Nonetheless, though there are various advantages of implementing AI assistants into software program growth workflows, there are additionally some knowledge safety issues for software program corporations.
As a result of many AI fashions be taught from public code repositories like GitHub, they’ll 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 typically copy present code word-for-word, that means software program growth groups may unknowingly use copyrighted code, placing their firm in authorized issues.
Past legal responsibility issues, AI-generated code can introduce safety dangers. AI builders could unintentionally leak proprietary algorithms or confidential knowledge, which may break an organization’s aggressive edge.
Extra dangerous, AI-generated code may expose delicate data like hardcoded credentials, database connections, or private buyer knowledge, 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 corporations to tighten measures on the usage of generative AI for software program growth.
The actions have been taken after the unintended leak of confidential inner supply code was found by an engineer who uploaded it to ChatGPT.
The Position of AI Inside Improvement Cycles
AI instruments have grow to be 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 almost as many knowledge 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 steadily, 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 velocity and accuracy. They don’t simply counsel snippets—they generate total features, refactor code, and even translate it between programming languages.
Trendy 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 identical function known as Composer.
These AI-driven modes permit 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 rushing up growth, AI applied sciences are additionally taking part in a big function within the testing section.
As an example, as a substitute of getting a human tester click on via each button, kind, and menu, AI-powered instruments can simulate person actions to immediately spot any gaps, making testing far more thorough.
AI can even create check circumstances by itself by inspecting the code and foretelling the place issues may pop up.
That is particularly helpful for checking if particular person features work appropriately and demonstrating totally different elements of the applying perform collectively as demanded.
With instruments like Selenium and Cypress that leverage AI, builders can even check web sites by simulating how customers work together with them in a browser. Another AI-powered frameworks may even create check circumstances by themselves, saving builders time.
Code Safety and Management
One of many foremost issues in software program growth is defending code from safety dangers, akin to unauthorized entry or knowledge leaks. AI options, in flip, can autonomously scan the code for any potential safety flaws and even counsel fixes earlier than they grow to be 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 quicker, smarter, and extra protected.
We, like a lot 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 quicker.
However we don’t simply blindly depend on AI-generated code—our builders rigorously look at and refine all the pieces to ensure high-quality software program functions. The end result? Sooner 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 check circumstances straight from the code, ensuring nothing slips via the cracks. This implies fewer bugs, higher efficiency, and a trouble-free app interplay for finish customers.
However a very powerful level in our use of synthetic intelligence is that we embed AI into software program growth solely when purchasers explicitly conform to it, which implies no surprises and no hidden knowledge sharing.
For many who query knowledge safety when integrating AI, we are able to regionally run AI fashions like LLama (3B/8B parameters), StarCoder and DeepSeek-R1. This manner, purchasers get all the advantages of AI whereas protecting their code utterly personal.
