It’s no secret that the marketplace for AI instruments and companies is quickly rising. In keeping with Statista, for instance, the worth of the AI market in 2025 guarantees to succeed in a staggering $243.7 billion and develop at a price of 27.67% per 12 months, reaching $826.7 billion by 2030.
This astonishing enlargement has been made doable largely by varied AI functions, equivalent 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 must you 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
Currently, AI integration has turn out to be a sort of indicator of the speed of a tech firm and the way a lot it retains up with the instances. 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. 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 a lot of advantages of implementing AI assistants into software program growth workflows, there are additionally some knowledge safety considerations for software program firms.
As a result of many AI fashions study from public code repositories like GitHub, they will generate code that unintentionally 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 current code word-for-word, that means software program growth groups would possibly unknowingly use copyrighted code, placing their firm in authorized issues.
Past legal responsibility considerations, AI-generated code can introduce safety dangers. AI builders might unintentionally leak proprietary algorithms or confidential knowledge, which may break an organization’s aggressive edge.
Extra dangerous, AI-generated code would possibly expose delicate info 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, turning into certainly one of a number of firms to tighten measures on using 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 Growth Cycles
AI instruments have turn out to be a daily a part of every 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 continuously, with about one in three utilizing these instruments every 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 counsel snippets—they generate total features, 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 called Copilot Edit.
- In Cursor, an analogous function 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: Handbook and Automated
Past dashing up growth, AI applied sciences are additionally enjoying a major position within the testing part.
As an example, as a substitute of getting a human tester click on by means of each button, kind, and menu, AI-powered instruments can simulate person actions to immediately spot any gaps, making testing far more thorough.
AI may also create take a look at circumstances by itself by inspecting the code and foretelling the place issues would possibly pop up.
That is particularly helpful for checking if particular person features work appropriately and demonstrating completely different components of the appliance perform collectively as demanded.
With instruments like Selenium and Cypress that leverage AI, builders may also 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 circumstances by themselves, saving builders time.
Code Safety and Management
One of many foremost considerations in software program growth is defending code from safety dangers, equivalent 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 turn out to be disastrous.
How SCAND Makes use of AI in Software program Growth: With Your Full Consent
At SCAND, we’ve absolutely 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 instances sooner.
However we don’t simply blindly depend on AI-generated code—our builders fastidiously study and refine all the pieces to ensure high-quality software program functions. The outcome? Sooner supply instances with out sacrificing reliability.
However AI doesn’t simply assist us write code—it additionally makes testing extra cheap. We use AI-powered instruments for each guide and automatic testing to catch points earlier than they attain manufacturing.
AI may also generate automated take a look at circumstances straight from the code, ensuring nothing slips by means of 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 comply with it, which implies no surprises and no hidden knowledge sharing.
For many who query knowledge safety when integrating AI, we are able to domestically run AI fashions like LLama (3B/8B parameters), StarCoder and DeepSeek-R1. This fashion, purchasers get all the advantages of AI whereas conserving their code fully personal.
