
This article lists my top 9 AI tools I believe every developer or someone interested in AI should use to get the most out of AI in 2025. ✅
These tools are aimed at solving real problems, offering real value, and making life easier. I've compiled a list of such tools that I've tried myself and use frequently. Some of them are well-known, while others are underrated.
If you build software or are interested in AI, chances are a couple of these will be in your daily toolkit. 🤫
ℹ️ MCP server that connects your AI tools to 500+ apps.
You probably already have an idea of what an MCP is, right? If not, it stands for Model Context Protocol and think of it as a bridge between AI models and external tools, which can provide it with data and the ability to take action on them.
An MCP server is this smart adapter for these tools, which the MCP clients can connect to (Claude, Cursor, etc.).
Rube's MCP server acts like a remotely hosted MCP server that includes all these applications you can use (Slack, Gmail, Facebook, etc.). You name it, and it's all there. You get access to over 500 apps in your chat.
Visit the marketplace to see a list of all the apps you can use with Rube.
You can get started with Rube by installing it on your platform of choice.
Or, simply sign up in the Rube web app, set up the connection for your application of choice, and test it directly in your browser.
Check out this quick demo to get an idea of what Rube can do. 👇
ℹ️ Google DeepMind’s latest model for generating short, high-quality videos from text prompts, with audio support.
Veo 3 gives you short, polished clips you can actually ship (it’s so real). You describe the shot. It handles motion, lighting, and even the audio so the scene doesn’t feel silent or awkward. Outputs are short, clean, and great for shorts, or to turn your prompt into a little cinematic clip.
What you can do right now:
Quick Start:
Check out this video on "Sailer and the Sea," generated by Veo 3 (note the quality of the video and the audio, insane!). 👇
ℹ️ Kombai is a front-end AI agent that for real world Frontend tasks.
Kombai is an AI agent built specifically for frontend work. It takes input from Figma, text, images, or existing code, understands your stack, and generates production-ready UI with solid structure and styles. It’s tuned for real frontend tasks, not just generating similar UI.
You can install it right in your editor. It works in VSCode, Cursor, Windsurf, and Trae. Launch it from the extension marketplace, and you're set.
With Kombai, you can:
Visit the docs to get started and see the setup for your editor of choice.
You can get going in a minute:
If your day is mostly frontend, this is a must-have.
Check out this quick demo to get an idea of what Kombai can do. 👇
ℹ️ The most realisitic and high-quality voice AI platform.
If you've ever wanted something to say what you write in a voice that sounds human, expressive, and maybe even like you, ElevenLabs does exactly that. It's not just text-to-speech (although it does that extremely well); it lets you clone voices, create audiobooks, build music, and all kinds of creators are using it more than ever.
With ElevenLabs, you can build workflows that:
If you've played Chess on chess.com, you've probably already experienced ElevenLabs. All the voices you hear are from ElevenLabs; notice how real that sounds?
For any projects that require me to add text-to-speech or work with any form of audio creation, I usually use ElevenLabs. They also have a great free tier. Check out their pricing to learn more.
ℹ️ Edit your code using natural language to build software faster.
Cursor is an AI-first code editor that fully understands your repository. You tell it what you want in natural language, and it updates files, refactors safely, answers questions, and even runs commands in your terminal with your approval, all with full project context.
ℹ️ The whole vibe coding thing really started to get attention with the release of Cursor.
It is a fork of VSCode, so everything will feel familiar to most of you. You can bring your own extensions, themes, and keybindings.
The platform has also recently raised $60 million in funding, which underscores the significance of this IDE.
With Cursor, you can:
There is a lot that you can do with Cursor; this is just to give an idea.
💡 If you're someone who prefers a GUI and wants AI directly in your code editor, then Cursor is the best choice.
ℹ️ OpenCode is an AI coding agent that works in the terminal.
If Cursor brings AI directly into your editor, OpenCode does something similar but for the terminal. It’s built for people who live in their terminal and don’t want to leave it, especially developers who love working in Neovim or prefer a CLI-first workflow (like me 😉).
With OpenCode, you can:
Additionally, consider OpenCode as a single replacement for multiple CLI coding agents, such as Gemini CLI, Claude Code, or OpenAI Codex. So instead of juggling many different CLI tools, you just have one AI coding agent in your terminal that does it all.
You can get started with OpenCode by running the following command:
# YOLO
curl -fsSL https://opencode.ai/install | bash
# Package managers
npm i -g opencode-ai@latest # or bun/pnpm/yarn
brew install sst/tap/opencode # macOS and Linux
paru -S opencode-bin # Arch Linux
Visit their documentation for more information.
ℹ️ Poke is a contact that acts on your behalf with whom you can communicate.
Think of Poke as a contact in your phone that you can actually delegate to. You text it in iMessage, WhatsApp, or SMS. It connects to your email, calendar, and files, then turns the chats into real actions. No new app to learn. Just message it, and it gets things done.
🤔 Why is this interesting?
Poke launched publicly in September 2025 and raised $15M led by General Catalyst, valuing the company at around $100M. The bet is simple. Most people do not want another app. They want help inside the apps they already use all day.
You can try it directly in your messages. Start a thread with Poke, connect your accounts, and give it a small task. It will propose actions in short bubbles you can approve. If you like the result, hand it more.
So, the workflow is simple: Text it -> Approve it -> Done.
Here's a quick film to learn more about Poke. 👇
ℹ️ Upload your sources, ask questions, and get cited answers, even an audio summary you can listen to.
NotebookLM is like a research buddy. You load it up with your stuff, and it learns only from that. It then answers with citations, connects ideas, and can generate summaries you can read or listen to. It runs on Google’s Gemini models and is built for deep dives, not your usual ChatGPT-styled messages.
With NotebookLM, you can:
Quick Start
Here's a video introduction to NotebookLM. 👇
ℹ️ Give it a goal. It plans, executes, and circles back with results.
Manus pitches itself as a general AI agent that turns thoughts into actions. You hand it a goal. It figures out the steps, performs the work, and reports back. Research, plan, draft, deploy, even spin up small apps.
With Manus, you can:
This is kind of an all-in-one agent. One place to build sites, translate documents, draft outlines, analyze data, and a bunch more. Browse the Playbooks to see what’s possible and launch with one click.
Quick start:
Here's a quick video introduction to Manus. 👇
If you think of any other handy AI tools that I haven't covered in this article, please share them in the comments section below. 👇🏻
That concludes this article. Thank you so much for reading! 🫡