Best AI Coding Tools in 2025: What Developers Are Actually Using
ALG Team
Everything AI and More · May 11, 2025 · 3 min read
We get asked about AI coding tools constantly. The space has changed dramatically — Cursor's rise has reshuffled how developers think about this whole category. Here's what the data shows for 2025.
The Top 3 AI Coding Assistants
🥇 GitHub Copilot
Still #1. Embedded in millions of developer workflows through VS Code, JetBrains, and neovim. The GitHub integration is a hard advantage — that's where most professional developers already live.
Copilot Chat has gotten substantially better and the multi-file editing features address one of the core complaints. The deep GitHub integration remains compelling for teams on Microsoft's stack.
🥈 Cursor
The biggest story in AI coding tools this year. An AI-first IDE built on VS Code that understands your entire codebase context — not just the current file. Developers who switch often don't go back.
The key difference: Cursor makes changes across multiple files, explains why it's making them, and iterates with you through conversation. Genuinely closer to pair programming than autocomplete on steroids. Jumped 5 positions in a single week recently — a tool that's hit an inflection point.
🥉 Tabnine
In this space longer than anyone with a loyal following, particularly in enterprise. The privacy story is strong — you can run Tabnine on-premises with no code leaving your environment. For companies with strict security requirements, that's often the deciding factor.
Also Worth Knowing
Codeium
The strongest free alternative to Copilot. Fast autocomplete across 70+ languages with no usage limits on the free tier. Developer interest has been climbing fast — developers who can't justify a Copilot subscription often land here and stay.
What Developers Are Actually Saying
- Cursor users are very vocal about not going back to Copilot. The sentiment is consistently strong.
- Most developers use multiple tools — Copilot for quick completions, a general chat AI (Claude or ChatGPT) for architecture and complex problems.
- The quality gap between free and paid has narrowed. Codeium is genuinely good.
- On-premise concerns are driving Tabnine adoption in finance, healthcare, and government.
The honest answer is that most developers are using AI tools for 20-30% of their work — boilerplate, docs, tests. The hard stuff still requires human judgment. But that 20-30% adds up to real hours saved.