AI’s Impact on SDLC: How AI Changes Software Development?

February 17, 2025
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Custom Web Application Development

AI in SDLC: The Conversation Every Tech Leader Is Having

Let’s face it—AI is no longer just a fancy tech word. It is changing how we build software, and you are falling behind if you are not watching. Once powered by human work, the Software Development Life Cycle (SDLC) now gets a boost from AI-driven automation.

Fortune Business Insights predicts AI use in IT operations will reach $641.3 billion by 2028—a figure CEOs and CTOs must take.

#1. AI Improves Planning: Goodbye to Guesswork

Software development faces a major challenge: nailing down requirements from the start. AI helps by examining massive datasets, user feedback, and market trends to offer fact-based insights that allow teams to make better choices. 

software development with AI

The Truth: IBM Watson and Google Cloud AI already forecast software needs, reduce unclear requirements, and prevent project failures by almost 30%. This means fewer “we built the wrong thing” fiascos.

Where This Has an Impact:

  • Finance: AI-driven fraud detection software is built on exact requirement analysis
  • Healthcare: AI helps create patient-focused apps that work.

#2. AI-Powered Coding: The Future is Here

Let’s be honest—coding takes time, and even top developers make mistakes. Enter AI.

Tools like GitHub Copilot remove the tedious parts of coding by offering optimized

snippets that spot errors before they occur and increase developer output by 55%.

AI in software development

Why This Counts:

  • Automated Code Generation: AI proposes efficient reusable code.
  • Less Bugs, Better Efficiency: AI-powered debugging spots problems.
  • Developers Zero In on Creativity: They spend less time fixing syntax and more time tackling problems.

Industries Thriving with AI Coding:

  • E-commerce: AI-powered recommendation engines built on a large scale.
  • Gaming: AI-driven NPCs (Non-Playable Characters) that seem lifelike.

#3. AI in Testing: Catch Bugs Before They Cause Problems

People hate buggy software, and AI makes sure we deliver better products quicker.

Regular testing takes time, costs a lot, and often misses things. AI-powered Test

Automation Tools can run thousands of tests in minutes, spotting mistakes people might overlook.

AI Testing Tools That Are Changing the Game:

  • Testim & Applitools: AI-driven visual testing to create perfect UIs.
  • Selenium AI: Automated regression testing to find hidden defects.

The Number Game: AI cuts testing time by 40%, making defect detection 90% more accurate. That’s an edge over competitors worth investing in.

mobile app development company

Industries at the Forefront:

  • Automotive: AI improves software reliability in self-driving cars. Tesla is the biggest example; the world is watching it right now.
  • Retail: AI-powered testing enhances customer experiences across platforms.

Image and video analytics are the best examples of streamlining retail operations

and improving the customer experience.

#4. AI in Deployment & Maintenance: Eliminating Surprises

AI’s impact extends beyond development—it’s transforming software deployment and maintenance. 

AI applications in deployment and maintenance

DevOps teams use AI to enable continuous integration, automated deployment, and predictive maintenance, keeping systems operational around the clock.

AI Deployment in Practice:

  • Self-Healing Systems: AI detects and resolves problems before they expand.
  • Predictive Maintenance: AI predicts system breakdowns before they occur.
  • Cloud Optimization: AI adjusts cloud resources on the fly, reducing expenses.

Netflix uses AI-driven predictive maintenance to deliver uninterrupted streaming to over 247 million subscribers worldwide. Every tech leader aims for this level of dependability.

Who’s Gaining the Most?

  • Media & Entertainment: AI keeps streaming platforms operational.
  • Banking: AI-enhanced security stops fraud in financial apps.

Also read – Building a Winning Mobile App: A Deep Dive into Mobile App Development!

The Bottom Line: AI is the Future of Software Development

Still thinking about adding AI to your SDLC? Here’s the truth—which you can’t ignore. AI is making software development smarter, faster, and more productive. From gathering requirements to final deployment, AI doesn’t replace app developers but gives them more power to thrive.

Tech leaders who adopt AI now will shape the future. If you want your business to stand out and grow, now’s the time to add AI to your software development life cycle.

So, are you ready to prove your development in the future? Let’s do it!

Talk to best developers at TechRev today.