Top AI Coding Tools Engineers Are Using in 2025



	July 9, 2025

github copilot – still the industry leader
created by microsoft and powered by openai’s codex model, github copilot remains the top choice among developers. in a recent survey, 42% of engineers selected it as their preferred ai tool. key features include:

context-aware code suggestions in ides like vs code and jetbrains
support for many languages (python, javascript, java, and more)
smart code completion, inline docs, and full-function generation
adaptive learning tailored to individual coding styles

developers praise copilot for cutting down on repetitive tasks, boosting productivity, and acting like a virtual coding partner for both beginners and pros.

gemini – the ai assistant for android developers
gemini has seen rapid adoption, particularly among mobile developers using android studio. it offers powerful ai-driven code generation, refactoring, and debugging tools. its tight integration with google’s platform and focus on mobile-first workflows make it a top pick for app creators.

cursor – an ai-native code editor
cursor reimagines the code editor experience by embedding ai directly into its core. a customized version of visual studio code, cursor offers:

deep integration of ai pair programming into the full dev cycle
awareness of entire codebases for smarter chats and refactoring
automatic unit test creation, bug detection, and documentation generation

engineers appreciate cursor’s seamless, interactive feel—like having an ai teammate working alongside them.

codeium – free, open-source, and feature-packed
codeium stands out for its commitment to accessibility. with an open-source model and no subscription fees, it's ideal for startups, students, and anyone on a budget. highlights include: