Tari Ibaba

Tari Ibaba is a software developer with years of experience building websites and apps. He has written extensively on a wide range of programming topics and has created dozens of apps and open-source libraries.

This new AI tool from Google just destroyed web & UI designers

Wow this is absolutely massive.

The new Stitch tool from Google may have just completely ruined the careers of millions of web & UI designers — and it’s only just get started.

Just check out these stunning designs:

This is an absolute game changer for anyone who’s ever dreamed of building an app but felt intimidated by the whole design thing.

It’s a huge huge deal.

Just imagine you have a classic app idea — photo sharing app, workout app, todo-list whatever…

❌ Before:

You either hire a designer or spend hours wrestling with design software trying to create a pixel perfect UI.

Or maybe you even just try to wing it and hope for the best, making crucial design decisions on the fly as you develop the app.

✅ Now:

Just tell Stitch whatever the hell you’re thinking.

Literally just describe your app in plain English.

“A blue-themed photo-sharing app”:

Look how Stitch let me easily the design — adding likes for every photo:

Or, if you’ve got a rough sketch on a napkin, snap a pic and upload it. Stitch takes your input, whatever it is, and then — BOOM — it generates a visual design for your app’s user interface. It’s like having a personal UI designer at your fingertips.

But it doesn’t stop there. This is where it gets really cool — especially for developers.

Stitch doesn’t just give you a pretty picture. It also spits out the actual HTML and CSS code that brings that design to life.

Suddenly your app concept isn’t just an idea — it’s a working prototype.

How amazing is that?

Stitch is pretty smart too. It can give you different versions of your design, so you can pick the one you like best. You can also tweak things – change the colors, switch up the fonts, adjust the layout. It’s incredibly flexible. And if you want to make changes, just chat with Stitch. Tell it what you want to adjust, and it’ll make it happen. It’s a conversation, not a command line.

Behind all this magic are Google’s powerful AI models, Gemini 2.5 Pro and Gemini 2.5 Flash. These are the brains making sense of your ideas and turning them into designs and code. The whole process is surprisingly fast.

Who is this for?

Everyone. If you’re a complete beginner with zero design or coding experience, Stitch is your new best friend. You can create professional-looking apps without breaking a sweat.

It’s a fantastic way to rapidly prototype ideas and get a head start on coding for seasoned developers.

Right now, Stitch is in public beta, available in 212 countries, though it only speaks English for now. And yes, you can use it for free, with a monthly limit on how many designs you can generate.

It’s a super-powered starting gun for your app development journey. It streamlines the early stages to get you from a raw idea to a tangible design and code much faster.

And if you still want more fine-grained control, you can always export your design to Figma.

So, if you’ve got an app idea bubbling in your mind, Google Stitch might just be the tool you’ve been waiting for to bring it to life.

The most powerful AI model in the world just got a coding CLI

Wow this is HUGE.

This most intelligent AI model on the planet just got an incredible new coding CLI.

Grok — the genius model from xAI sitting comfortably in #1 of several notable AI benchmarks.

Massive boost in speed and power in your software development.

Carry out massive context-aware tasks on your codebase with simple English right from your CLI:

  • Refactor functions or files
  • Edit project code based on coding standards
  • Generate shell scripts or bash commands
  • Automate git operations
  • Integrate with any MCP server

What took an hour of manual coding and debugging before → Now: a few minutes.

Just describe whatever you want and it takes care of the rest.

grok-cli is open-source and growing FAST with dozens of contributions already.

Conversational

Launch Grok CLI with the grok command:

  • Opens an interactive session
  • Remembers previous prompts
  • Lets you refine requests naturally — like a real-life conversation.

Context-aware

Grok CLI reads your project files — it knows what it’s editing.

Ask it to:

  • Change the logic in a file
  • Rename functions
  • Split code into modules

It works from actual source context — no guesses or hallucinations.

Shell and bash

Ask something like “compress all images in the assets folder” or “create a backup of the .env file” — Grok CLI will generate and run the correct commands — like zip.

Built-in

Grok CLI includes smart tools for file editing, git management, and navigation.

These tools run automatically when your prompt matches what they handle — giving you a clean interface without memorizing commands.

Project-specific instructions

By placing a .grok/GROK.md file in your repo, you can customize how Grok CLI behaves.

For example, you can specify preferred frameworks, coding standards, or architectural constraints. This makes it ideal for team workflows and codebases with strict conventions.

Large project context support

Grok CLI supports large context windows. It can review and reason over entire projects or multiple files at once, making it suitable for complex refactors, architecture reviews, or onboarding support.

Installation and setup

To get started you need:

  • Node.js version 16 or higher
  • A Grok API key from x.ai

Installation is straightforward:

npm install -g @vibe-kit/grok-cli

Then run:

grok

You can also run one-off prompts with:

grok --prompt "What does this function do?"

Set API keys with:

  • GROK_API_KEY environment variable
  • .env file
  • CLI --apiKey flag
  • ~/.grok/user-settings.json file

You can also configure the base URL and model via the same methods.

Workflow integration

Grok CLI is designed to work with your existing tools. It supports both interactive and headless modes.

  • Interactive mode: Launch with grok to enter a conversational session.
  • Headless mode: Use --prompt for scripting, CI pipelines, or automation.
  • Custom configuration: Use .grok/settings.json to define per-project behavior.

The CLI makes it easy to integrate AI into your day-to-day development without changing your habits or workflow.

Extend Grok CLI with MCP

One of Grok CLI’s most advanced features is support for the Model Context Protocol (MCP).

With MCP, you can connect Grok CLI to external services—like issue trackers, deployment tools, or custom APIs—and control them through the terminal.

Example:

grok mcp add linear --command "node" --args mcp-linear.js

Grok CLI will now be able to read issues from Linear, create tasks, or pull data—all through AI commands.

The built-in mcp command supports:

  • add: add a new server
  • list: view connected MCP servers
  • test: verify a server’s functionality
  • remove: disconnect a server

This turns Grok CLI from a code assistant into a full-fledged AI agent platform.

Grok CLI is more than just another AI chatbot—it’s a new kind of developer tool.

It brings powerful language models right into your command line — blending natural language prompts with deep integration into your codebase and workflow.

If you’re a developer who spends time in the terminal and wants to work faster, write better code, and automate tedious tasks using AI, Grok CLI is absolutely worth a try.

This new AI coding agent from Google is unbelievable

Wow this is insane.

This new AI coding agent from Google is simply incredible. Google is getting dead serious about dev tooling. No more messing around.

Jules is a genius agent can understand your intent, plan out steps, and execute complex coding tasks without even trying.

A super-smart teammate who can tackle coding tasks on its own asynchronously to make software dev so much easier.

It works seamlessly in the background so you can focus on other important stuff.

Gemini 2.5 Pro

Jules is powered by Gemini 2.5 Pro, which is Google’s advanced AI model for complex tasks. This gives it serious brainpower for understanding code.

And you bet 2.5 Flash is on its way to give it even more insane speeds.

When you give Jules a task it clones your codebase into a secure virtual machine in the Google Cloud. This is like a private workspace where Jules can experiment safely without messing with your live code.

It then understands the full context of your project. This is crucial because it helps Jules make smart, relevant changes. It doesn’t just look at isolated bits of code; it sees the whole picture.

After it’s done, Jules shows you its plan, its reasoning for the changes, and a “diff” of what it changed. You get to review everything and approve it before it goes into your main project. It even creates pull requests for you on GitHub!

Jules is quite the multi-tasker. It can handle a variety of coding chores you might not enjoy doing yourself.

For example, it can write tests for your code, which is super important for quality. It can also build new features from scratch, helping you speed up development.

Bug fixing? Yeah Jules can do that too. It can even bump dependency versions, which can be a tedious and error-prone task.

One cool feature is its audio changelogs. Jules can give you spoken summaries of recent code changes, turning your project history into something you can simply listen to.

Google has made it clear that you’re always in charge. Jules doesn’t train on your private code, and your data stays isolated. You can review and modify Jules’s proposed plans at every step.

It works directly with GitHub, so it integrates seamlessly with your existing workflow. No need to learn a new platform or switch between different tools.

Jules is currently in public beta, and it’s free to use with some limits. This is a big step towards “agentic development,” where AI systems take on more responsibility in the software development process.

It might sound like Jules is coming for developer jobs, but that’s probably not the goal here — at least for now.

Jules is meant to be a powerful tool that frees up developers to focus on higher-level thinking, design, and more creative problem-solving. It’s about making you more productive and efficient.

So, if you’re a developer, now’s a great time to check out Jules. It could really change the way you work.

MCP is an absolute game changer but what is it??

MCP MCP… what’s this annoying MCP thing I keep seeing everywhere? What does it even mean?

Just another annoying AI buzzword that will die out soon right?

If you think that then you are dead wrong. This is HUGE.

MCP is massive new invention that is going to change everything.

It’s a major milestone for LLMs and agents and the AI revolution in general.

Bla bla bla… what does it mean Tari?? Start talking or GTFO!

Okay okay I will now but you really need to understand just how much of a game changer this is.

So this is the part where I tell you that MCP is an acronym that means Model Context Protocol — but that wouldn’t be saying much and I’ll be boring you to sleep.

The best thing is to give you a fascinating and powerful real-world analogy that you will understand instantly without even trying.

Think of the brain. The human brain.

Your brain is incredibly powerful — far far more intelligent than all the other species (combined??). Not even close.

But have you ever realized that your brain is… USELESS?!

Duuuude just effin explain MCP for me, I didn’t ask for your insults

No listen I’m not calling you dumb or anything like that — what I mean is — your brain can’t DO anything on it’s own, as far as the external world is concerned.

The only way your brain actually does anything in the physical world is by being connected to the rest of your body.

You could be the greatest genius the universe has ever seen.

You could THINK of the most beautiful poem, the most persuasive argument, the funniest joke in history…

You could IMAGINE the next great novel, the blueprint for a world-changing invention, the cure cancer…

You may KNOW where you want to go — the perfect destination, the goal, the person to meet, the protest to join, the stage to walk onto…

But without your biological tools — your mouth, your eyes, your hands, your feet… without these things, you are as good as non-existent.

There will absolutely nothing you can DO. You are completely powerless as far as the outside world is concerned.

So are you getting it now? This is the problem we’ve had with LLMs.

Since 2022 they’ve wowed us with their insane creativity and coding and summarization ability and so much more.

But they couldn’t really DO anything.

All they did was provide us with information. Even when AI agents came along, all they could do was reason and think (“think”).

It was our brains that then used the information to manually make things happen in the world.

This is what MCP changes forever.

They can think and process information, and now also perform real world actions.

They can get crucial data from ANY external data source to do ANYTHING.

AI agents are now in absolute god mode.

With MCP Servers the possibilities are now literally endless.

MCP Server. That’s just the name for anything that provide tools to an AI agent.

The MCP Server provides the tools. MCP tells it HOW to provide the tools.

For example:

  • GitHub MCP Server: provides tools that let’s the AI agent search any GitHub repo.
  • WhatsApp MCP Server: provides tools that let you search WhatsApp chats.

You see the real game changer of MCP is NOT actually about what all these incredible MCP Servers let you do.

Before MCP it was already somewhat possible to make LLMs interact with external services. For example manipulate the prompt or fine-tuning the model to provide some sort of JSON response of tools to call.

This was what platforms like AutoGPT and BabyAGI tried to do. It’s also why OpenAI and Google added function calling support to their models.

The main problem with these different attempts is exactly that — they were different. Or private like for GPT and Gemini function calling.

There was no standard and open way to let anyone create an AI agent that could have external tools plugged into it. Or to create tools to plug into any AI agent.

But now MCP has changed all that.

Now anyone can create programs that provide tools to make AI agents more powerful — without knowing anything about the agents beforehand.

That’s why we’ve been calling MCP the USB-C of AI applications.

USB-C standardized how tons of devices that needs to send all sorts of data to each other communicate.

Now as a manufacturer you no longer need to worry about the specific devices your users have and could need to connect your product to.

Just make sure it comes with a USB-C port and you’re good.

They can connect it to all the other billions of devices in the world that connect to USB-C — to provide or receive power or any kind of data.

And not just existing devices but ALL future devices — as long as they also support it.

This is the same game-changing thing MCP lets us do.

No more need for prompt manipulation or model-specific function calling.

And anyone can create agentic apps to use these tools, without knowing anything about the tools beforehand.

As long as the AI agent creator and MCP Server maker abide by the protocol, they will work with each other.

So that why it is really major milestone for the AI revolution.

Anything you can write code to do — an AI agent can do now.

Search your files in the cloud, update databases, control smart switches…

It drastically makes your AI agents waaay way more powerful — making YOU more powerful.

Huge Claude 4 coding news for this IDE

Wow this is some incredible news…

Claude 4 Sonnet is now available in Windsurf with no API key! (No more BYOK in Cascade).

You no longer have to pay additional costs for the amazing model.

And the coding has been absolutely insane 👇

For a while now people have been pointing out how amazing they find Claude 4 Sonnet, especially compared to Gemini 2.5 Pro and GPT-4.1. And this isn’t just hype – the difference is showing up in real-world workflows, especially in long context tasks, clean refactoring, and deep architectural suggestions.

And remember this is the junior sibling of Claude 4 Opus — that incredible model that literally did all the coding by itself in a massive project for a full hour and a half…

That was 90 actual minutes of total hands-free autonomous coding genius with zero bugs. Opus 4 planned, coded, edited, and completed an entire full-stack project, and Claude 4 Sonnet shares a massive chunk of that DNA. In fact, for a lot of development tasks, especially within a controlled and optimized coding environment like Windsurf, the gap between Sonnet and Opus is surprisingly small.

What makes this even more monumental is the fact that Windsurf had previously been locked out of native Claude 4 support.

When Claude 4 launched back in May, Anthropic explicitly restricted direct Windsurf access, most likely due to the intense competitive landscape and the recent strategic moves surrounding Windsurf — including rumors of OpenAI acquiring the company and Google’s subsequent licensing deal for Windsurf’s code-generation platform.

Disgustingly verbose tho?

The workaround was BYOK — “bring your own key.” That meant if you wanted to use Sonnet or Opus in Windsurf, you had to sign up for the Claude API separately, manage your own usage, and copy-paste keys manually. It worked — but it broke the seamless, fluid experience Windsurf is known for. It was a turbulent journey for users and the platform alike.

That’s now over. As of July 17, Claude 4 Sonnet is directly integrated into Windsurf again. You open the app, click a dropdown, and Sonnet’s there — no more hacks, no more limits. This signifies a successful restoration of support and improved collaboration between Windsurf and Anthropic, much to the relief of the developer community. It’s clean, fast, and shockingly good.

In fact, this might just be the best Claude experience available anywhere right now. The way Sonnet integrates into Cascade — Windsurf’s multi-agent AI flow system — feels like watching the future unfold in real time. Cascade breaks your prompts into intelligent stages, keeps memory across actions, and even offers live suggestions while you type. Now, with the raw power of Sonnet 4 plugged into that, it feels like pair programming with an elite coder who has already thoroughly digested your entire codebase.

The 200K context window means it can see everything — not just your current file, but your whole project: imports, dependencies, comments, TODOs, legacy bugs. Sonnet reads all of it, understands it, and then acts on it with unparalleled precision. You can ask it to upgrade your framework, optimize a specific component, or redesign an entire backend architecture — and it doesn’t blink. It just does it.

Add to that multi-file refactoring, which is handled intelligently without you needing to manually stage files or explain how everything is connected. Just describe the goal, and Claude intelligently does the wiring, making complex changes feel effortless.

The code it writes doesn’t feel “AI-generated.” It feels like code written by someone experienced — it follows the tone and patterns of your project, names things sensibly, and almost never makes you stop and think, “Wait, what is this supposed to be?”

For Pro users, you get 250 calls/month, billed at 2× credits — but for the sheer quality and effectiveness of Sonnet, that’s a deal that quickly pays for itself. Claude’s output is so effective that it drastically cuts out a ton of trial and error, which ultimately saves more time (and more credits) than even faster models that often need constant babysitting and manual correction.

Windsurf’s focus on enterprise-grade security and compliance (SOC 2 Type 2, FedRAMP High, HIPAA) enhances its value even more to make it a powerful solution for organizations seeking both efficiency and peace of mind.

This is all part of a major new string of updates from Windsurf, solidifying its position at the cutting edge of AI-powered development. With Claude 4 Sonnet now fully native, there’s truly no friction. No switching tabs, no key juggling, no API rate worries. Just open your editor and build.

And we haven’t even seen what happens if Opus 4 gets native access next.

This isn’t just a good update — it’s a massive leap forward for developer productivity and the future of coding. If you’ve been sleeping on Claude and Windsurf, now’s the time to wake up and ship.

5 ways to generate a SaaS Idea that earns you $10K per month

You don’t need a kajillion-dollar app.

You just need something that generates enough income for you to own all your time and do what you love and live freely.

For most people out there $10,000 monthly recurring revenue from a SaaS is gonna be a fantastic way to achieve this.

It can take serious dedication and effort but it’s a perfectly achievable goal.

You just the right idea that actually solves a problem for the right audience, and proper marketing.

Five proven strategies with real-world examples to help you uncover a profitable SaaS idea that has the potential to hit that $10K MRR mark:

1. Solve your own pain points (or those of your network)

Look inwards.

What frustrations do you encounter in your daily work or personal life? Are there repetitive tasks you wish could be automated?

This person built a simple SaaS tool to save a major problem they had as a marketer:

Is there a process in your daily life that’s unnecessarily complex?

How it works:

  • Personal Experience: Think about tools you use regularly. What are their shortcomings? What features are missing? Have you ever thought, “There has to be a better way to do this?” That “better way” could be your SaaS idea.
  • Professional Network: Talk to colleagues, friends, and contacts in different industries. Ask them about their biggest headaches and inefficiencies. Often, people outside of tech don’t realize their problems can be solved with software, creating a prime opportunity for you.

Why it leads to $10K MRR: If you experience a pain point, chances are others do too. Solving a problem you deeply understand gives you an inherent advantage in building a truly useful product and marketing it effectively. Niche down from your broad experience. For example, if you find popular analytics tools too complex, you can build niche web analytics tool for small businesses.

2. Deep dive into niche communities and forums

The internet is a goldmine of unmet needs and frustrations, especially within online communities. People are constantly discussing problems, asking for solutions, and venting about inadequate tools.

This solo software engineer got the crucial initial audience for their app just by posting on Reddit:

How it works:

  • Reddit, Facebook Groups, Industry Forums: Join subreddits, Facebook groups, and specialized forums related to specific industries or hobbies. Look for recurring questions, complaints, and discussions around “what software would help with X?” or “I’m tired of using Y for Z.”
  • Product Review Sites: Sites like G2 and Capterra offer insights into existing software solutions. Look at negative reviews and identify common pain points users experience with current offerings. This can reveal gaps in the market.

Why it leads to $10K MRR: These communities represent an audience with a shared, urgent problem. By observing their discussions, you can pinpoint specific pain points and tailor a solution directly to their needs. A micro-SaaS targeting a niche audience that genuinely needs your solution is often more successful than a broad tool trying to serve everyone.

3. Improve upon existing (but flawed) solutions

You don’t always need to invent something entirely new. Sometimes, the most profitable ideas come from taking an existing product and making it significantly better for a specific segment, or addressing its major flaws.

How it works:

  • Competitor Analysis: Identify successful SaaS products in various categories. Then, analyze their weaknesses. Are they too expensive? Too complex? Lacking a crucial feature? Do they serve a broad audience but miss the specific needs of a smaller, valuable niche?
  • “Niche Down” the Giants: Large SaaS companies often cater to a wide audience, which means they can’t perfectly serve every niche. You can build a more specialized, user-friendly, or cost-effective alternative for a particular segment. For example, instead of a general website builder, create one specifically for wedding photographers or local bakeries.

Why it leads to $10K MRR: Competition validates a market exists. By offering a superior experience or a more tailored solution to an existing demand, you can capture a portion of that market and quickly gain traction. Focus on solving one problem exceptionally well for a defined audience.

4. Leverage emerging technologies (especially AI)

Every now and then a major technology breakthrough happens that opens up a world of opportunity for new IT tools including apps and software.

It happened with the Internet, mobile and app store, and recently it’s been happening with AI.

Not only do you get to build AI-powered tools, you get use AI in your development and ship your MVP much faster.

How it works:

  • AI Integration: The rise of AI and machine learning presents immense opportunities. How can AI automate tedious tasks, provide predictive insights, or personalize experiences within a specific industry? Think about AI-powered content optimization tools, AI SEO generators, or AI for video creation.
  • No-Code/Low-Code Tools: The increasing accessibility of no-code and low-code platforms means you can build and test SaaS ideas much faster and with less technical expertise. This significantly lowers the barrier to entry and allows for rapid iteration.

Why it leads to $10K MRR: Early adoption of emerging technologies can give you a significant competitive advantage. If you can build a solution that leverages these advancements to provide unique value, you’ll be well-positioned to attract early adopters and grow quickly.

5. Look for manual workarounds and “frankenstein” solutions

When people are solving a problem using a combination of spreadsheets, manual processes, and disparate tools, it’s a strong indicator of an unmet need that software could address.

This is what drove the creation of tools like Notion and ClickUp

How it works:

  • Observe Inefficiencies: Pay attention to situations where businesses or individuals are using clunky, manual workarounds to accomplish a task. This could be anything from managing orders with paper slips to using multiple free tools to cobble together a “solution.”
  • Identify Integration Gaps: Are people manually transferring data between different software programs? Are they performing repetitive copy-pasting tasks? A SaaS that integrates these disparate workflows or automates data transfer can be incredibly valuable.

Why it leads to $10K MRR: These “Frankenstein” solutions highlight a painful problem for which people are already expending time, effort, or even money.

Your SaaS can offer a streamlined, efficient, and often more affordable alternative, providing clear ROI and a strong incentive for adoption.

Beyond the Idea: Validation is Key

Once you have an idea, the next crucial step is rigorous validation. Talk to at least 5-10 potential customers in your target niche. Ask them about their current workflow, their biggest challenges, and what they would pay for a solution.

Don’t just ask if they “like” your idea; ask if they would pay for it and how much. Pre-selling before you build can be a powerful way to validate demand and secure initial revenue.

By focusing on real problems, understanding your niche deeply, and validating your assumptions, you’ll significantly increase your chances of building a SaaS that not only serves its users but also generates a healthy $10,000 per month.

This new IDE from Google will destroy VS Code

Wow this is incredible.

Google is getting dead serious about dev tooling — their new Firebase Studio is going to be absolutely insane for the future of software development.

A brand new IDE packed with incredible and free AI coding features to build full-stack apps faster than ever before.

Look at how it was intelligently prototyping my AI app with lightning speed — simply stunning.

AI is literally everywhere in Firebase Studio — right from the very start of even creating your project.

  • Lightning-fast cloud-based IDE
  • Genius agentic AI
  • Dangerous Firebase integration and instant deployment…

And it looks like they’re going with light theme this time.

Before even opening any project Gemini is there to instantly scaffold whatever you have in mind.

Firebase Studio uses Gemini 2.5 Flash — the thinking model that’s been seriously challenging Claude and Grok for some months now.

For free.

And you can choose among their most recent models — but only Gemini (sorry).

Although looks like there could be a workaround with the Custom model ID stuff.

For project creation there’s still dozens of templates to choose from — including no template at all.

Everything runs on the cloud in Firebase Studio.

No more wasting time setting up anything locally — build and preview and deploy right from your IDE.

Open up a project and loading happens instantly.

Because all the processing is no longer happening in a weak everyday PC — but now in a massively powerful data center with unbelievable speeds.

You can instantly preview every change in a live environment — Android emulators load instantly.

You’ll automatically get a link for every preview to make it easy to test and share your work before publishing.

The dangerous Firebase integration will be one of the biggest selling points of Firebase.

All the free, juicy, powerful Firebase services they’ve had for years — now here comes a home-grown IDE to tie them together in such a deadly way.

  • Authentication for managing users
  • Firestore for real-time databases
  • Cloud Storage for handling file uploads
  • Cloud Functions for server-side logic All of these are available directly from the Studio interface.

And that’s why deployment is literally one click away once you’re happy with your app.

Built-in Firebase Hosting integration to push your apps live to production or preview environments effortlessly.

Who is Firebase Studio great for?

  • Solo developers who want to quickly build and launch products
  • Teams prototyping new ideas
  • Hackathon participants
  • Educators teaching fullstack development
  • Anyone who wants a low-friction, high-speed way to build real-world apps

It especially shines for developers who already love Firebase but want a more integrated coding and deployment flow.

You can start using Firebase Studio by visiting firebase.studio. You’ll need a Google account. Once inside, you can create new projects, connect to existing Firebase apps, and start coding immediately. No downloads, no complex setup.

So this is definitely something to consider — you might start seeing local coding as old-school.

But whether you’re building your next startup or just hacking together a side project, Firebase Studio is an fast integrated way to bring your app to life.

This open-source AI coding agent has a personality for every task

This open-source coding agent is looking really promising.

Meet Roo Code: the incredible open-source alternative to GitHub Copilot and Cursor Composer…

Just look at how it effortlessly ran this app and fixed several errors in the code:

No monthly subscription like Windsurf and Copilot — pay only for what you use.

Multiple personalities/modes for every kind of coding task you do — Code Mode, Architect Mode…

A fully autonomous agent that lives inside your IDE — designed to think, plan, and build alongside you.

Understands your workspace, navigates your files, runs terminal commands, and can even automate browser tasks.

Your full-stack teammate to:

  • Pair program
  • Debug
  • Document
  • Architect your entire system based on your input.

Built by Roo Code Inc. — small but forward-thinking company focused on supercharging the creative and technical abilities of developers through AI autonomy.

Not just a coding assistant — a whole system

Roo Code operates on a flexible innovative multi-mode system:

  • Code Mode for hands-on coding tasks
  • Architect Mode for system-level thinking and planning
  • Ask Mode for direct Q&A or tool lookups
  • Debug Mode to trace bugs and propose fixes
  • Custom Modes for anything you define — QA, security audit, code review, etc.

Each mode is essentially a persona — and you can create as many as you like. Want a test-driven dev partner? A performance profiler? A security scanner? You can spin them up in seconds.

Total workspace awareness

Roo Code’s biggest advantage is its ability to see and act across your entire environment:

  • Reads and writes any file in your workspace
  • Executes terminal commands
  • Automates browser-based workflows
  • Interfaces with REST APIs and external tools via the Model Context Protocol (MCP)

If you can do it, Roo probably can too — and often faster.

💸 Pay-as-you-go pricing

Roo Code is free to install and use — but it runs on top of whatever AI model you connect it to.

That means the only cost is your API usage.

  • No subscriptions
  • No locked features
  • No hidden charges

You choose the model (OpenAI, Claude, Gemini, etc.) and only pay for the tokens consumed. Light users can spend less than a dollar a day, while heavy users running multi-step agents might spend more depending on the complexity and volume of tasks.

Roo even gives you real-time visibility into your context size and token usage, so you’re always in control.

This model keeps Roo Code accessible to indie devs, teams, and startups — scaling with you only when you need more power.

Extendable and interoperable

Roo Code plays well with others. Using services like Requesty, it can connect to 150+ different AI models with a single API key. You can load balance between providers or assign different models to different tasks.

Its extensibility also means you can connect Roo with tools like:

  • CodeRabbit for formal code reviews
  • MakeHub for model marketplace access
  • TimeWarp Flow for time-aware development
  • Roo Scheduler for recurring tasks
  • Roo Executor to trigger commands via URI

These plugins and forks turn Roo Code into an entire operating system for AI-assisted software development.

Open source & cloud friendly

Roo Code is completely free and open-source under Apache-2.0. You can run it locally, or use Roo Code Cloud to manage tasks, collaborate, and view history across projects. It’s not just a tool — it’s an ecosystem.

Installation is easy

  1. Install the “Roo Code” extension from the VS Code Marketplace.
  2. Connect your API key from OpenAI or another provider.
  3. Start typing natural-language commands or invoke a mode. Roo does the rest.

You can also install forks like Kilo Code (Roo + Cline hybrid with built-in models) for even more features out of the box.

The future of development is agentic

We’re now fully in an era where developers won’t just write code — they’ll manage intelligent systems that write, test, and evolve code with them. Roo Code is one of the most advanced and developer-focused efforts in that direction.

Try it out

Install Roo Code in VS Code today and start working with an AI agent that feels like a real teammate. Explore it further at roocode.com or dive into the docs at docs.roocode.com.

Google’s new Gemini CLI coding tool is an absolute game changer

Wow this is seriously revolutionary.

Google just destroyed Claude Code with their new Gemini CLI tool.

Now you have effortless access to the most powerful AI models on the planet right from your terminal.

Make intelligent agentic changes to your entire codebase.

Run series of power CLI commands with a simple prompt.

All you have to do is npm i -g @google/gemini :

And here’s the real killer blow to Claude Code — it’s FREE.

Okay not free free — like there’s a free tier but the limits are like super generous — trust Google… imagine how many millions they burn daily from all the people using their Gemini models.

You see free stuff like this is why we shouldn’t force Google to sell Chrome — and indirectly compromise their ad revenue cash cow that covers all these expenses.

60 free requests per minute – 1 request per second. There’s no way you’re going above that so I don’t want to hear anybody complaining.

And don’t complain about the 1000 requests per day either.

Remember this isn’t even something you’re constantly making requests to like you would for a code completion API as you type.

It’s a genius agentic AI that intelligently makes massive changes across your entire codebase at a time. With the 1 million token context window, it more than capable for handling most project codebases out there.

And not just changes but terminal commands.

Coming to the terminal basically now gives it first-class access to all the powerful CLI commands — include third-party CLI commands.

Anything you do in the command line, Gemini CLI can do — and far more of course.

Here’s a really powerful example: sometimes for a quick project or MVP I find myself making a bunch of not-so-related changes all over the place without committing.

Without Gemini CLI I might just get lazy and just bunch all of them together with super vague message like “Misc” or “Update”.

But now with a simple prompt, I can tell Gemini CLI to use the git command to intelligent make a series of commits based on all the various uncommitted changes in my codebase. With highly descriptive commit messages and conventional commits.

Major time savings. Saves effort. Less drudgery.

Not just commits — automate testing, documentation, deployment, fetching PRs, fixing new issues…

And of course it has powerful MCP support to drastically upgrade its capabilities.

Multimodal capabilities — including AI video generation from text prompts in the CLI like we saw in the demo.

For sure this is going to be one the most impactful new tools in the developer toolbox.

The new Claude Code AI is an absolute game changer

Wow this is insane.

Anthropic recently released Claude Code: a brand new AI assistant that’s going to have huge impacts on software development as a whole.

This is quite different from IDE-integrating tools like GitHub Copilot or Windsurf Cascade.

This works standalone in the command line — you can use it in any terminal to make huge changes to your codebase.

The intelligence is incredible, just look at this: Claude Code literally just did all the coding by itself on a project for a full hour and a half — zero human assistance.

That’s right — 90 actual minutes of total hands-free autonomous coding genius with zero bugs. The progress is wild.

Claude Code acts as an intelligent collaborator, capable of understanding your entire codebase, automating complex tasks, and accelerating your development workflow.

Fundamentally Claude Code is here to be an active participant in the coding process.

It can search and read through your project’s files, make edits, write and execute tests, and even manage Git workflows like committing and pushing code.

This is all done transparently, keeping you the developer in the loop at every stage.

Key features and capabilities

Claude Code boasts a range of powerful features that set it apart as a next-generation coding tool:

Deep codebase understanding

Thanks to agentic search, Claude Code can map and comprehend the structure and dependencies of your entire project without requiring you to manually specify context files.

Agentic task execution

It can handle multi-step tasks from start to finish. This includes reading a GitHub issue, implementing the necessary code changes across multiple files, running tests to ensure functionality, and submitting a pull request upon completion.

Terminal-native integration

By residing in the command line, Claude Code seamlessly integrates with your existing development environment, including your preferred shell, command-line tools, and CI/CD pipelines.

Code refactoring and improvement

You can instruct Claude Code to refactor your code for better readability, performance, or to adhere to specific coding standards.

Debugging and error resolution

When you encounter a bug, Claude Code can help identify the root cause, suggest fixes, and even resolve issues like missing dependencies.

Automated testing and linting

The assistant can run your test suites, fix failing tests, and apply linting rules to maintain code quality.

Git integration

Perform Git operations such as creating commits, resolving merge conflicts, and searching through commit history using natural language commands.

Getting started is super easy

To begin using Claude Code, you’ll need to install it via npm. Just do these:

  1. Prerequisites: Make sure you have Node.js (version 18 or newer) and npm installed on your system.
  2. Installation: Open your terminal and run the command: npm install -g @anthropic-ai/claude-code
  3. Authentication: Once installed, you can start Claude Code by simply typing claude in your terminal within your project directory. This will initiate the authentication process.
  4. Usage: After successful authentication, you can start issuing commands in natural language. For example, you can ask it to “summarize the project” or “refactor the main.py file to improve readability.”

Claude Code supports various operating systems including macOS (10.15+), Ubuntu (20.04+/Debian 10+), and Windows via the Windows Subsystem for Linux (WSL).

It performs well with tons of popular languages like:

  • Python
  • JavaScript / TypeScript
  • Go
  • Java
  • C++
  • SQL
  • And many others.

Its proficiency extends to various frameworks and libraries within these ecosystems.

Claude Code is certainly to give OpenAI Codex and Google Jules some serious competition, especially with the amazing new Claude 4 model powering it.