Tari Ibaba

Woah this is completely insane.

Google’s new Veo 3 video generator completely blows OpenAI’s Sora out of the water.

This level of realism is absolutely stunning. This is going to destroy so many jobs…

And now it has audio — something Sora is totally clueless about.

Veo 3 videos come with sound effects, background ambient noises, and even character dialogue, all perfectly synced.

Imagine a comedian on stage, and you hear their voice, the audience laughing, and the subtle murmurs of the club – all generated by AI. This is just a massive massive leap forward.

Models like Sora can create clips from text prompts but you have to go through a whole separate process to add sound. That means extra time, extra tools, and often, less-than-perfect synchronization.

Veo 3 streamlines the entire creative process. You input your vision, and it handles both the sight and the sound.

This isn’t just about adding noise. Veo 3 understands the context. If you ask for a “storm at sea,” you’ll get the crashing waves, the creaking ship, and maybe even a dramatic voiceover, all perfectly woven into the visual narrative. It’s truly uncanny how realistic it feels.

Beyond the audio, Veo 3 also boasts incredible visual fidelity with videos up to 4K resolution with photorealistic details. It’s excellent at interpreting complex prompts, translating your detailed descriptions into stunning visuals.

You can even create videos using the aesthetic of an image — much more intuitive than having to describe the style in text.

And — this one is huge — you can reuse the same character across multiple videos and keep things consistent.

I’m sure you can see how big of a deal this is going be for things like movie production.

You can even dictate camera movements – pans, zooms, specific angles – and Veo 3 will try its best to execute them.

Google’s new AI-powered filmmaking app, Flow, integrates with Veo 3, offering an even more comprehensive environment for creative control. Think of it as a virtual production studio where you can manage your scenes, refine your shots, and bring your story to life.

Of course, such powerful technology comes with responsibility. Google is implementing safeguards like SynthID to watermark AI-generated content, helping to distinguish it from real footage. This is crucial as the lines between reality and AI-generated content continue to blur.

Right now, Veo 3 is rolling out to Google AI Pro and Ultra subscribers in select regions, with more to follow. It’s certainly a premium offering. However, its potential to democratize video creation is immense. From independent filmmakers to educators and marketers, this tool could transform how we tell stories.

Content creation and film production will never be the same with Veo 3.

And don’t forget, this is just version 3. Remember how ridiculously fast Midjourney evolved in just 2.

This is happening and there’s no going back.

Woah this is huge.

Anthropic just went nuclear on OpenAI and Google with their insane new Claude 4 model. The powerful response we’ve been waiting for.

Claude 4 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. They will never admit it but it’s looking like coding jobs well under serious attack right now. It’s happening.

How many of us can even code for 30 minutes straight at maximum capacity? Good, working code? lol…

This is just a massive massive leap forward for how we build software. These people are not here to joke around with anyone, let me just tell you.

Zero punches pulled. They’re explicitly calling Opus 4 the “world’s best coding model.” And based on their benchmark results, like outperforming GPT-4.1 on SWE-bench and Terminal-bench, they’ve got a strong case.

But what truly sets it apart Claude 4 handles complex, long-horizon coding tasks like the one in the demo.

We’re talking hours and hours of sustained focus. Imagine refactoring a massive codebase or building an entire full-stack application with an AI that doesn’t lose its train of thought. Traditional AI often struggles to maintain context over extended periods, but Claude 4 is designed to stay on target.

Another killer feature is its memory.

Give Claude 4 access to your local files, and it can create “memory files.” These files store crucial project details, coding patterns, and even your preferences. This means Claude remembers your project’s nuances across sessions, leading to more coherent and effective assistance. It’s like having a coding buddy who never forgets your project’s unique quirks.

And for those of us who dread debugging, Claude 4 is here to help.

It’s already looking incredibly good at finding even subtle issues, like memory leaks. An AI that not only writes clean, well-structured code but also sniffs out those pesky hidden bugs. That alone is worth its weight in gold.

Beyond individual tasks Claude 4 excels at parallel tool execution. It can use multiple tools simultaneously, speeding up complex workflows by calling on various APIs or plugins all at once. This means less waiting and more efficient development.

Anthropic is also putting a big big emphasis on integration. They’re building a complete “Claude Code” ecosystem. Think seamless integration with your favorite developer tools.

Claude Sonnet 4 is already powering a new coding agent in GitHub Copilot – Windsurf and Cursor will follow suit shortly.

Plus, new beta extensions are available for VS Code and JetBrains, allowing Claude’s proposed edits to appear directly inline. This isn’t just a separate tool; it’s becoming an integral part of your development environment.

They’ve even released a Claude Code SDK, letting you use the coding assistant directly in your terminal or even running in the background. And with the Files API and MCP Connector, it can access your code repositories and integrate with multiple external tools effortlessly.

Claude 4 isn’t just a new model — it’s a new era for software development.

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? Yep, 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.

Google I/O yesterday was simply unbelievable.

AI from head to toe and front to back, insane new AI tools for everyone — Search AI, Android AI, XR AI, Gemini upgrades…

Developers were so so not left behind — a ridiculous amounts of updates across their developer products.

Insane coding agents, huge model updates, brand new IDE releases, crazy new AI tools and APIs…

Just insane.

Google sees developers as the architects of the future and this I/O 2025 definitely proved it.

The goal is simple: make building amazing AI applications even better. Let’s dive into some of the highlights.

Huge Gemini 2.5 Flash upgrades

The Gemini 2.5 Flash Preview is more powerful than ever.

This new version of their top model is super fast and efficient, with improved coding and complex reasoning.

They’ve also added “thought summaries” to their 2.5 models for better transparency and control, with “thinking budgets” coming soon to help you manage costs. Both Flash and Pro versions are in preview now in Google AI Studio and Vertex AI.

Exciting new models for every need

Google also rolled out a bunch of new models, giving developers more choices for their specific projects.

Gemma 3n

This is their latest open multimodal model, designed to run smoothly on your phones, laptops, and tablets. It handles audio, text, images, and video! You can check it out in Google AI Studio and with Google AI Edge today.

Gemini Diffusion

Get ready for speed! This new text model is incredibly fast, generating content five times quicker than their previous fastest model, while still matching its coding performance. If you’re interested, you can sign up for the waitlist.

Lyria RealTime

Imagine creating and performing music in real-time. This experimental model lets you do just that! It’s available through the Gemini API.

Beyond these, they also introduced specialized Gemma family variants:

MedGemma

This open model is designed for medical text and image understanding. It’s perfect for developers building healthcare applications, like analyzing medical images. It’s available now through Health AI Developer Foundations.

SignGemma

An upcoming open model that translates sign languages (like American Sign Language to English) into spoken language text.

This will help developers create amazing new apps for Deaf and Hard of Hearing users.

Fresh tools to make software dev so much easier

Google truly understands the developer workflow, and they’ve released some incredible tools to streamline the process.

A New, More Agentic Colab

Soon, Colab will be a fully “agentic” experience. You’ll just tell it what you want, and it will take action, fixing errors and transforming code to help you solve tough problems faster.

Gemini Code Assist

Good news! Their free AI-coding assistant, Gemini Code Assist for individuals, and their code review agent, Gemini Code Assist for GitHub, are now generally available. Gemini 2.5 powers Code Assist, and a massive 2 million token context window is coming for Standard and Enterprise developers.

Firebase Studio

The official unveiling after replacing Project IDX.

This new cloud-based AI workspace makes building full-stack AI apps much easier.

You can even bring Figma designs to life directly in Firebase Studio. Plus, it can now detect when your app needs a backend and set it up for you automatically.

Jules

Now available to everyone, Jules is an asynchronous coding agent. It handles all those small, annoying tasks you’d rather not do, like tackling bugs, managing multiple tasks, or even starting a new feature. Jules works directly with GitHub, clones your repository, and creates a pull request when it’s ready.

Stitch

This new AI-powered tool lets you generate high-quality UI designs and front-end code with simple language descriptions or image prompts. It’s lightning-fast for bringing ideas to life, letting you iterate on designs, adjust themes, and easily export to CSS/HTML or Figma.

Powering up with the Gemini API

The Gemini API also received significant updates, giving developers even more control and flexibility.

Google AI Studio updates

This is still the fastest way to start building with the Gemini API. It now leverages the cutting-edge Gemini 2.5 models and new generative media models like Imagen and Veo. Gemini 2.5 Pro is integrated into its native code editor for faster prototyping, and you can instantly generate web apps from text, image, or video prompts.

Native Audio Output & Live API

New Gemini 2.5 Flash models in preview include features like proactive video (detecting key events), proactive audio (ignoring irrelevant signals), and affective dialogue (responding to user tone). This is rolling out now!

Native Audio Dialogue

Developers can now preview new Gemini 2.5 Flash and 2.5 Pro text-to-speech (TTS) capabilities. This allows for sophisticated single and multi-speaker speech output, and you can precisely control voice style, accent, and pace for truly customized AI-generated audio.

Asynchronous Function Calling

This new feature lets you call longer-running functions or tools in the background without interrupting the main conversation flow.

Computer Use API

Now in the Gemini API for Trusted Testers, this feature lets developers build applications that can browse the web or use other software tools under your direction. It will roll out to more developers later this year.

URL Context

They’ve added support for a new experimental tool, URL context, which retrieves the full page context from URLs. This can be used alone or with other tools like Google Search.

Model Context Protocol (MCP) support

The Gemini API and SDK will now support MCP, making it easier for developers to use a wide range of open-source tools.

Google I/O 2025 truly delivered a wealth of new models, tools, and API updates.

It’s clear that Google is committed to empowering devs to build the next generation of AI applications.

The future is looking incredibly exciting!

OpenAI’s new Codex AI agent is seriously revolutionary.

This is in a completely different league from agentic tools like Windsurf or Cursor.

Look how Codex effortlessly fixed several bugs in this project — completely autonomously.

37 good issues easily slashed away without the slightest bit of human intervention.

All this time we’ve been gushing over how great all these AI coding agents are with their powerful IDE integration and context-aware suggestions and multi-file edits.

Now here comes OpenAI Codex with something radically different. Not even close.

With Codex we might all eventually end up saying bye bye to IDEs altogether.

No more opening up your lovely VS Code to run complex command-line scripts or navigate files or modify code.

You simply tell an AI what you want to do to your system “Add a user authentication flow.” “Fix the bug in the payment gateway.” “”

And Codex would just do it.

This is the promise of OpenAI’s new Codex agent. It’s an AI so advanced, so capable, that it might just pave the way for a future where the traditional IDE becomes a relic.

The core idea is astonishingly simple: you describe the desired changes in natural language, and Codex does the rest.

It’s not just generating a snippet of code; it’s making comprehensive modifications to your entire system.

Codex lives in the cloud. You interact with it through a simple interface like a chat window. You’re giving it instructions, not manipulating files.

Think about it: the entire development process happens in a sandboxed, cloud environment.

Codex takes your instructions, loads your codebase into its secure workspace, makes the changes, runs tests, and even prepares pull requests. All of this without you ever needing to open a single file on your local machine.

This is the ultimate abstraction. The IDE, that familiar workbench where you meticulously craft every line, simply vanishes. The user interface for coding becomes your own language. Zero code.

For years, IDEs have been our central hub for development. They provide syntax highlighting, debugging tools, version control integration, and so much more. They’re indispensable. Or so we thought.

Codex challenges this fundamental assumption. If an AI can reliably understand complex instructions, perform multi-file edits, ensure code quality, and even integrate with your deployment pipeline, what’s the point of the traditional IDE? Its features become functionalities of the AI agent itself.

The workflow shifts dramatically. Instead of spending hours writing code, you’re now guiding an incredibly powerful AI. Your role evolves from a coder to a system architect, a high-level strategist. You define the “what,” and Codex figures out the “how.”

This isn’t about simply auto-completing your lines. It’s about delegating entire feature development cycles. Debugging? Codex can run tests and identify issues. Refactoring? Just tell it what structure you prefer.

While agents like Windsurf Cascade are about augmenting your current IDE experience, Codex is hinting at a future where that experience is entirely re-imagined. It’s a bold step towards a world where coding becomes less about the mechanics of typing and more about the articulation of intent.

Will IDEs truly die? Perhaps not entirely, not overnight. But the power and autonomy of agents like Codex suggest a future where the current development paradigm is fundamentally reshaped. Your keyboard might still be there, but your IDE might just be a whisper in the cloud.

Wow this is incredible.

Windsurf IDE’s new SWE agents completely blows traditional AI coding agents out of the water.

Yes I’m talking about coding agents like Cursor Composer and even the new VS Code agent that just dropped like how many days ago.

They are already outdated.

Look this is way way different from the typical stuff we’re used to from our coding agents.

Forget coding — this is full-scale autonomous software engineering from start to finish.

AI coding agents have been the latest and greatest in the coding world for a while. They were a major step up from simple code completions.

They could understand complex instructions. Multi-file edits were a piece of cake. Powerful effortless high-level coding.

But right now these are nothing, absolutely nothing compared to the new SWE-1 models. This is not just another iteration. This is a fundamental shift.

Forget agents that try to grasp the bigger picture. SWE-1 lives in it.

These aren’t just language models tweaked for code. Windsurf built these from the ground up. Software engineering is in their DNA.

The difference lies in what Windsurf calls “flow awareness.” It’s not just about understanding the current code. It’s about understanding the process.

Think about it. Coding isn’t just about writing lines. It’s about navigating different environments. It’s about understanding the history. It’s about anticipating the next step, even across different tools.

That’s where SWE-1 shines. It sees the whole flow. Your IDE. Your terminal. Your browser.

It understands the context switching. It gets what you’re trying to do and how it fits into the big picture.

LLMs like Copilot understand your next line.

AI coding agents understand your codebase:

SWE agents understand your understand your ENTIRE system. This is automation at an unbelievably high level of abstraction.

This “flow awareness” allows for a level of collaboration we haven’t seen before. It’s not just the AI spitting out code snippets across your codebase. It’s a true partnership.

And get this, they didn’t just release one. There’s a whole family of these SWE-1 models. The main one, just called SWE-1, is a powerhouse. People who’ve tested it say it’s right up there with the best models out there, but maybe even cheaper to use.

Then there’s SWE-1-lite. This one’s replacing their older model, and it’s apparently a big step up in quality. The best part? Everyone, even free users, can use it as much as they want. That’s pretty awesome.

Oh, and for those little code snippets you need super fast? They’ve got SWE-1-mini. This one powers the code suggestions in their editor and again, unlimited use for everyone.

Windsurf isn’t just saying these things. They’ve got their own tests showing SWE-1 keeping up with the top dogs. And real developers using it are apparently getting a lot more code done each day. That’s the kind of proof that matters, right?

Think about it. Instead of just telling an AI to “write a function,” you’ve got an agent that understands why you need that function, how it fits into the rest of your project, and can even help you debug it later. It’s like having a super-smart pair programmer who’s always on the same page.

This isn’t just an upgrade. It feels like a completely new way of working with AI in software development. Those old AI coding agents? They had their moment.

But Windsurf’s SWE agents? They’re operating on a whole different level of intelligence and understanding. It really does feel like they just changed the game.

And honestly I’m excited to see where this goes next.

Or maybe we should be worried. 😅

The news hit hard.

Microsoft, a tech titan, just announced substantial layoffs. For programmers everywhere, this feels like a punch to the gut.

It confirms a deep-seated fear. The rise of artificial intelligence in coding has been a topic of much debate. Could AI eventually replace human developers? This news makes that possibility feel a whole lot closer.

Thousands are now jobless. Highly skilled software engineers, the very backbone of the digital world, are suddenly without work. It’s a stark reminder of the volatile nature of the tech industry, even for giants like Microsoft.

Why is this happening? Officially, it’s about “organizational changes” and streamlining. But let’s be real, the elephant in the room is AI. Microsoft’s own CEO has touted the significant role AI now plays in their code generation.

Think about it. AI can churn out code at an astonishing pace. It can automate repetitive tasks that once required human hands and brains. This efficiency, while good for the bottom line, has a human cost.

It’s not just about writing basic code. AI is becoming increasingly sophisticated. It can understand complex requirements, generate solutions, and even debug code with impressive accuracy. This encroaches on territory once considered exclusively human.

What does this mean for the future? For junior developers, the path ahead might look even more challenging. The entry-level tasks they often cut their teeth on could be increasingly automated.

Even seasoned professionals aren’t immune. The need for sheer numbers of coders might diminish as AI takes on more of the workload. The focus could shift towards managing AI systems and tackling uniquely complex, creative problems that still require human ingenuity.

This isn’t to say that human programmers will become obsolete overnight. But the landscape is undeniably changing, and these layoffs feel like a significant marker in that shift.

It forces us to ask tough questions. What new skills do developers need to cultivate? How do we adapt to a world where AI is a significant coding partner, or even a competitor?

Maybe the focus will shift towards higher-level design and architecture. Perhaps the ability to collaborate effectively with AI will become a crucial skill. Or maybe entirely new roles we can’t even imagine yet will emerge.

The anxiety is palpable. The implications of this news ripple outwards, affecting not just those laid off but the entire programming community.

This isn’t just about job losses; it’s about identity. For many, coding isn’t just a job; it’s a passion, a craft. The idea that a machine could potentially diminish the need for that craft is unsettling.

Microsoft’s move sends a clear signal. AI in coding is not just a futuristic concept; it’s a present reality with tangible consequences for the workforce.

So, what now? Programmers may need to be proactive. They may need to embrace lifelong learning, adapt to new tools, and focus on the uniquely human aspects of our work – creativity, critical thinking, and complex problem-solving.

This might be a nightmare scenario for some, but perhaps it’s also a catalyst. A catalyst for innovation, for upskilling, and for redefining what it means to be a programmer in the age of intelligent machines. The future is uncertain, but one thing is clear: the world of coding will never be the same.

This isn’t all of it, but it’s a nice start for sure…

There’s a humongous lot I see AI doing for fitness in the coming years I’m telling you.

Including powerful SaaS ideas to build and finally become the billionaire you were always supposed to be (and fail as always — gosh I hate SaaS).

Like when ChatGPT first broke out one of the easiest low hanging fruits was exercise generation.

First of all most fitness apps are just way too convoluted for their own good.

Asking you all sort of stupid questions in the onboarding instead of just going straight to the point.

And in the end the same old stupid pre-built manual workouts you were always gonna get. So annoying.

These clowns have no clue about user experience whatsoever.

No one should have to go through that trash anytime they install a new app.

The perfect fitness app would learn from TikTok.

Do you see how painfully simple TikTok is?

The second you open the TikTok app after installing you immediately get blasted with content.

They don’t even waste a nanosecond (or picosecond) to show the logo – I mean who gives a shit about your logo right?

When you open the perfect workout app you will instantly get blasted with a decent AI generated workout for the average person.

With all the timing reps and rest periods and demonstrations and all — that’s already standard stuff so whatever.

You can start the workout immediately!

You can regenerate — maybe even swipe up to view more AI workout types and ideas like in TikTok.

With this I already have a full fledged workout app ready to go.

Tari but what about…

Shut your smelling mouth this obviously won’t be everything — but I’m telling you this alone is more than enough.

People will know that when they tap your app they instantly get value.

The time delay between opening your bullshit and getting rewarded is nil.

Rewarded with something new.

One tap.

Why the hell do you think TikTok is so addictive?

Obviously there’s plenty of other reasons but this is a big one.

Action-reward delay — also a critical component of habit formation you know.

Then there’d be like a text input to create a workout according to my pompous ultra precise specifications. Or super vague, doesn’t matter. That’s the flexibility you get from LLMs and AI.

Start a 4-day workout split where I train like a Spartan warlord but also don’t sweat too much. I want abs, obviously, but I also don’t want to give up croissants. Prioritize aesthetics over strength. Be dramatic. Tons of jumping or whatever.

The app would use your workout completions and performance to tune the recommendations for what types of workout to suggest in the TikTok-like feed.

A whole lot more to be done but it would be a radical improvement to the trash we’re still contending with today.

It would be growth. Improvement. What I love to see.

Quality of life improved.