Vetted by NeuralPress's Multi-Agent Verifier for strict factual validity and event relevance. Our compliance engine cross-checks and filters search results to ensure zero false correlations or misleading content.
Primary Sources
AI in Software Development: Revolutionizing the Coding Landscape
Written by Coursera Staff • Updated on Apr 29, 2026You can use AI in software development to generate code, automate testing, and optimize project management. Learn how to use AI models to reduce errors in code, write code faster, and make data-driven decisions about the development process. Key takeawaysArtificial intelligence (AI), particularly large language models and generative AI can make it easier for software developers to design, create, test, and deploy software programs. Using AI, you can increase your productivity and coding efficiency while reducing errors in your code, development costs, and time to market. You can use AI to help you complete many software development tasks, from generating whole blocks of code to automated code testing, review, and project management. Use this article to explore the benefits and challenges of using AI in software development and examples of AI software development tools you can use to speed up the development process. If you’re ready to enhance your skill set in this field, consider enrolling in the Gemini for Developers Specialization. In as little as one month, you'll build essential skills for AI software engineering like token management, AI agent architecture and deployment, and strategic model selection. Upon completion, you'll earn a career credential that you can use to elevate your resume and boost your professional profile.What is AI in software development?Generative AI models can be used to create text, images, videos, audio, and more, including generating code in various programming languages. When you use natural language to interact with generative AI, it uses math and statistics to understand the relationships between words and predict the most appropriate response, which looks to human eyes like something created by a human using logic and reasoning. However, the AI model doesn’t understand language like humans do—only how to create something similar to natural language. Read more: ChatGPT vs. Gemini: Blog Writing, Coding and MoreAI in software development processes code in a similar way. While the model doesn’t understand the coding principles and logic like a human programmer, it can analyze programming language documentation to recognize patterns and syntax, predict what comes next, and suggest how to improve your code.Benefits of using AI in software developmentUsing AI in software development can help you write code faster with fewer errors, reducing the time to market and lowering deve...
Paul Ford's 'What Is Code?' Defined an Era. Here's What He Says on AI ...
You may end up coding at your job — even if you never think you're coding. NFB/Getty Images 2026-05-01T14:21:43.909Z Paul Ford has been in software for decades. He says AI is fundamentally changing the industry. New tech can basically turn anyone into a software company. That doesn't mean we should all be coding, Ford says. One plausible future for the rest of us: We all get custom software, tailored just for our needs. Paul Ford has been writing about software and making software — his newest company is Aboard, a New York City-based business software agency — for decades.* Like lots of people who work in software, he's tremendously excited about AI. He's also someone who can explain what's happening in plain English.Ford is enthusiastic about developments like vibe coding, which promise to let anyone build any software they want. But he doesn't believe we're moving into a world where everyone is a coder.Ford recently told me why the AI revolution in software is real, what it could mean for the industry, and why it's going to matter to people who will never write code.You can hear our full conversation on my Channels podcast; the following is an edited excerpt. Peter Kafka: You recently wrote that the "AI Disruption We've Been Waiting For Has Arrived." What is it and how did we get here?Paul Ford: Most of the software in the world falls under this big bucket of "custom" and "enterprise" — you go, and you build tools for companies that help them manage sales, etc.It's very custom, very bespoke. That's been my whole career. And starting a couple of years ago, I watched AI do really boring code things. That's the trillion-dollar core of everything.Suddenly, the robot could do the thing.It could do a pretty credible job, get you started. And most of these projects are really hard, they take a long time. And I was like, "Wow, this is gonna speed it up, which means that things are probably gonna change all over."How does that tie into vibe coding, which is what we started hearing a lot about in the last few months?This had been building up for a while. OpenAI let you code, Anthropic let you code. You sit down, and just as you would prompt it to answer your question — "Tell me where to go when I go to Tuscany," you could be like, "Write me a script that converts from a legacy database format."And it would do an OK job. Usually, it was pretty buggy. It was cool that it would get it moving, and it often could save you time. They were assistants.Like an intern...
Is Software Engineering 'Cooked'? The Future Of Development Post AI
AI has changed coding forever. Just last month, Sam Altman, cofounder and CEO of OpenAI, posted a thank-you note to developers on X marking a massive shift in the industry.
AI is reshaping DevSecOps to bring security closer to the code
Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code as it is created.
