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How To Start Using AI To Build Software Cheaper And Better

Ari Lew  |  Apr 15, 2025  |  

We can all agree that businesses today need smart solutions to stay ahead of the competitive curve. As a result, the increasing use of Artificial Intelligence (AI) has become a game-changer, especially in software development. But how can companies across various industries and verticals use AI to improve software creation while cutting costs?

 

Our advice: Don’t let uncertainty hold you back because AI truly has the power to transform your business outcomes.

 

If the technical side of AI software development feels daunting, partner with experts who know the ropes. A nearshore agency like Asymm can guide you through AI integration. Doing so safeguards that your results align with your goals and systems. Remember, the objective isn’t to replace your team but to empower them with smarter, faster tools that save time and money.

What Is AI in Software Development?

 

AI in software development means using machine learning, data analysis, and automation tools to make programming smarter and faster. Instead of handling repetitive coding tasks manually, AI tools can step in and do the heavy lifting. The result? Developers can focus on solving real challenges while AI takes care of the grunt work.

 

Think of it as having a supercharged assistant—one that never tires and never makes the same mistake twice. Sounds almost like a priceless investment when we put it like that, right? Let’s get into the benefits of using AI.

The Biggest Benefit of Using AI

 

Embarking on your AI journey for software development doesn’t have to be overwhelming. Afterall, AI isn’t just a shiny tech trend; it’s a practical solution for common development roadblocks. Here are some key benefits:

 

  • Faster development cycles: AI can write code snippets, debug errors, and even predict what developers might need next.
  • Cost savings: Automating repetitive tasks reduces development time, saving businesses money.
  • Better accuracy: AI reduces human error, creating cleaner, more reliable code.
  • Smarter decisions: AI tools analyze data patterns and help developers make informed decisions faster.

 

When paired with a skilled team, AI can transform software development into an efficient and scalable process.

 

How to Use AI in Software Development: Key Areas

 

Integrating AI into your software development process might sound complex, but it’s easier than you think. Take it from the experts at Asymm, just go step by step. Begin small, see the impact, and scale up as you gain confidence. Here are some practical ways to get started:

 

1. Automated Code Generation

 

AI tools like GitHub Copilot and Tabnine are making waves in coding. These tools use natural language processing (NLP) to predict and generate code snippets as developers work. Think of it as autocomplete on steroids. Not only do they speed up the process, but they also help developers write cleaner and more efficient code.

 

2. Smarter Debugging and Testing

 

Debugging and testing are critical but time-consuming steps. AI-powered tools, such as DeepCode, automatically scan codebases for bugs and suggest fixes. They can even predict potential problems before they occur. This minimizes downtime and ensures smoother software launches.

 

3. Predictive Analytics for Project Management

 

AI doesn’t just stop at coding; it also helps manage development projects. Tools like Jira and Monday.com now integrate AI to analyze team performance and predict delivery timelines. By using AI’s insights, teams can avoid bottlenecks and meet deadlines more effectively.

 

4. Natural Language Processing (NLP)

 

With NLP, AI understands user instructions and translates them into actionable commands. Developers can describe the functionality they want in plain English, and AI tools generate the code. This makes collaboration between technical and non-technical teams a breeze.

 

5. Improved User Experience with AI Algorithms

 

AI doesn’t just help developers; it enhances the end product too. By integrating machine learning algorithms into software, businesses can create personalized user experiences. For example, AI can recommend features, optimize interfaces, or deliver tailored content to users.

 

6. Continuous Integration and Deployment (CI/CD)

 

AI is also making continuous integration and deployment faster and smarter. Tools like Harness use AI to automate the testing and deployment of new code, reducing risks and ensuring that updates happen seamlessly. This helps teams maintain quality while accelerating delivery.

 

7. Enhanced Security Measures

 

AI-driven security tools like Darktrace monitors software systems for unusual behavior in real time. They help identify vulnerabilities and prevent attacks before they happen. With AI on your side, you can build software that’s not only efficient but also secure.

The Cost-Saving Secret of AI

 

One of the biggest benefits of using AI in software development is the savings it delivers. By automating repetitive tasks, reducing errors, and speeding up workflows. Both of these help businesses significantly cut development costs. In the simplest of terms: What used to take weeks can now be done in days (sometimes even hours).

 

Additionally, AI tools make it possible to create scalable solutions without drastically increasing budgets. Whether you’re developing an app, upgrading legacy systems, or building custom software, AI ensures you get more bang for your buck.

 

AI also minimizes waste. For instance, predictive analytics can help you allocate resources more effectively, ensuring time and money aren’t spent on unnecessary features or failed experiments. It’s like having a crystal ball for your project’s success.

 

Challenges to Consider

 

Of course, no technology comes without hurdles. When incorporating AI into software development, it’s important to watch for these challenges:

 

  • Learning curve: Training teams to use AI tools effectively may take time.
  • Data privacy concerns: AI often requires large datasets, so it’s critical to ensure compliance with privacy regulations.
  • Integration issues: Not all legacy systems are compatible with AI tools, requiring additional effort to modernize workflows.
  • Bias in algorithms: If not carefully managed, AI algorithms can inherit biases from training data, leading to flawed decision-making.

 

By partnering with experienced tech teams, businesses can overcome these obstacles and unlock AI’s full potential.

Why Partner With a Nearshore Agency Like Asymm?

 

Integrating AI into software development isn’t a solo mission. That’s where a nearshore agency like ours can help. We specialize in delivering end-to-end digital solutions that align with your business goals. Whether it’s AI integration, custom software, or legacy system upgrades, we’ve got you covered.

 

As a nearshore partner, we offer the perfect blend of technical expertise and cultural alignment. Our teams work in your time zone, ensuring seamless communication and faster turnaround times. From faster development cycles to scalable AI solutions, our experts ensure your business stays ahead of the curve.

 

Get Started Today

 

AI is transforming how businesses approach software development. It’s faster, smarter, and more cost-effective. By learning how to use AI in software development, your company can unlock new levels of growth and efficiency.

 

Ready to explore how AI can work for your business? Let’s make it happen. Schedule a call with us today and discover how we can help you build software cheaper, better, and smarter.

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Written by Ari Lew

Ari is the Ceo and Co-founder of Asymm. With a passion for product design and media, Ari oversees the UX/UI practice at Asymm and leads client success at the company.