24 Best AI Tools for Developers in 2025

Moz, Debugging endless code, racing against deadlines, and juggling clunky tools—sounds like just another day in the life of a developer. And then there’s your boss, who expects you to stay on top of new AI trends because the shinier, the better, right?

There had to be a better way to hit those impossible deadlines and still deliver great work. So, I got to work testing AI tools that automate the mundane, speed up workflows, and make life a whole lot easier.

In this article, I’ll share 23 of the best AI tools for developers in 2025. From setting up large language models locally to exploring no-code platforms and AI coding assistants, these tools will save you time, simplify your workflows, and bring your ideas to life.

Let's go!

Setting up Large Language Models (LLMs) locally
Llama 3.2: Run AI models locally
Run AI models locally with Llama 3.2
Relying on cloud services for AI tasks can be frustrating due to usage costs, internet dependency, and privacy concerns. I needed a solution that offered robust AI capabilities without these limitations.

With Ollama, I run large language models like Llama 3.2 on my machine to access advanced AI features without relying on cloud services or incurring ongoing costs.

Here’s how I use Llama 3.2:

Generate code: I use Llama 3.2 to write and debug code without connecting to the cloud.
Create content: Llama 3.2 helps me generate content across various formats while maintaining complete privacy and control.
Produce embeddings: I generate word and sentence embeddings for SEO tasks like keyword mapping, all locally.
Integrate with tools: With Ollama’s local API, I can integrate Llama 3.2 into custom tools and workflows without relying on third-party services.

1. Open WebUI: User-friendly interface for local AI models Screenshot of Open WebUI It’s challenging to run AI models locally if you’re uncomfortable with the command line or dealing with code. I wanted a solution that made this process more accessible for those who prefer graphical interfaces over text-based commands.

Open WebUI is an open-source interface that builds upon Ollama. I use it to run open-source AI models like Llama 3 on my machine. Additionally, I can perform tasks I would typically do in ChatGPT, but locally without complex setups.

Here’s how I use Open WebUI:

Write App Script code: I prompted Open WebUI to generate code that produces embeddings from OpenAI and inserts them into Google Sheets.
Copy-paste code into Google Sheets: I generated the code, pasted it into Google Sheets, and ran it as a function, allowing for seamless integration into my workflow.
Accessible for non-coders: This tool makes advanced AI capabilities available to those who prefer using graphical interfaces instead of working with the command line.