đ The Rise of AI-Assisted Coding: How Tools Like GitHub Copilot Are Changing Software Development
AI wonât replace developers, but developers who use AI will replace those who donât.
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AI wonât replace developers, but developers who use AI will replace those who donât.
Over the last few years, AI tools have quietly â and sometimes loudly â started reshaping the world of software development. If you're a developer, you've likely heard of (or used) GitHub Copilot, ChatGPT for coding, and other AI-powered assistants.
But whatâs really happening under the hood? How are these tools changing how we write code, solve problems, and even think about software development? And are they here to help us, or to replace us?
In this post, weâll explore how AI-assisted coding works, its benefits and limitations, and what this means for the future of developers.
At its core, AI-assisted coding refers to tools that generate, suggest, or complete code for developers using machine learning models trained on vast amounts of code.
These tools integrate directly into IDEs like VSCode, JetBrains, or GitHub, and work as you type, offering real-time suggestions, from simple lines of code to entire functions.
âĄïž Think autocomplete on steroids â but context-aware and capable of reasoning about your code.
"AI wonât replace developers, but developers who use AI will replace those who donât."
AI coding assistants are typically trained on billions of lines of code from public repositories (think GitHub, Stack Overflow, documentation, and more).
When you start typing, they:
AI-assisted coding isnât just a fun experiment â itâs changing developer workflows in very real ways.