Product vision is as valuable as coding excellence [Image via Gemini]

As long as I've been in Silicon Valley, engineers have been king. The most sought after, and highest paying, roles have gone to the code orchestrators with the highest talent, who have been able to turn ideas into reality. Expertise could be claimed due to the number of coding languages they knew, and effort could be arbitrarily counted by the number of lines of code, with only its complexity up for debate. The most flexible and most capable engineers have deftly adjusted their expertise to meet the industry's latest demand, from dedicated apps for the top operating systems at the time, to mobile applications, social network tools, ride sharing apps, autonomous driving, crypto, or whatever business fad or innovation has driven the newest industry.

But now we're in an odd spot. Many of the software engineers I know and have worked with for years are telling me they scarcely code at all, with AI-assisted coding (vibe coding if you must call it that) making it possible for them to tell agents what to do and how to build at unprecedented scale. Meanwhile, recent college graduates sporting computer science degrees are finding entry level opportunities have practically disappeared.

Every technology shift has downstream impact, and the seismic shift toward AI-driven tooling means the roles in demand in this new world have evolved. Lenny Rachitsky's breakdown of the tech job market puts hard numbers behind a shift many of us have seen with our own eyes or felt when looking at our in boxes and LinkedIn messages. Demand for traditional software engineers is plateauing, open mobile and front-end roles have been nearly cut in half, and now product managers are suddenly the ones seeing the biggest hiring surge. 

When I wrote about vibe coding acting as automatic transmission for apps last month, the takeaway wasn't that humans were obsolete, but that the mechanical act of shifting gears was no longer the bottleneck. If a coding agent can build out an app or deliver a mobile view in an afternoon, paying a premium for narrow implementation stops making sense. As Gergely Orosz pointed out in response to Lenny (see Techmeme), specialists who only know one slice of the stack are getting squeezed out in favor of generalists who can steer AI across the whole system.

There is no such thing as a sure thing in a turbulent time. Back in 2018, I looked at Silicon Valley's divergent career arcs and how quickly comfortable middle-tier roles can evaporate when the industry's priorities tilt. We are watching that exact thing play out today in real time.

Telling a machine what to build requires knowing what is actually worth building. If code generation gets cheap, product judgment becomes the scarce resource, which is why product managers and customer-facing builders are having a moment, living in the messy human problem space where no model can hallucinate real user empathy. As I argued in my October piece on human evolution in an AI revolution, the winners won't be the folks guarding the roles and tools of yesterday, but those who are flexible enough to see how the world is changing and be part of that movement themselves.

All software has bugs. It has always been that way, and much of the recent discussion around AI's impact on software engineering has been about unveiling security holes that plague popular software and may have sat for years -- hardly the setup for promising complete code verification.

I saw the headlines around DeepMind's AlphaProof Code announcement this morning, saying they confirmed Signal's security protocol to be solid, and initially glanced past it, as someone who typically doesn't use Signal. But the post has ignited a foundational discussion about how software will be built and verified going forward in the usual places, including Hacker News, which has zeroed in on a major turning point: moving from classic test-driven development to automated, machine-driven formal proof generation.

Routing blue links past unplugged TVs [Image via Gemini]

One of my favorite web authors, Ryan Broderick, who I read religiously, dropped another one of his truth bombs today in Garbage Day, decrying the continued decimation of text-based content that once defined the web, only to see it morph into something that is video first, or as he says "officially TV now". As we've observed over the last two-plus decades, Web behavior has rotated from newsgroups and reading full text articles, following links across the web, to short-form video consumption and Netflix-style episodic bingeing, with powerful algorithms suggesting you keep watching -- with sleep as the natural enemy.

Like I've said recently, you can't force old habits on new people who have been raised in a world of infinite bandwidth and infinite choice any more than you can ask kids to turn off the cartoons or put down the YouTube and pick up a newspaper. In today's post, Ryan calls time on the old "internet of libraries, replaced by an "internet of televisions", where, as he puts it, no one is famous, everyone is a celebrity on rented terms, and getting real traction with written words gets harder by the month -- made even more real as the hub and spoke model of RSS readers and centralized discovery lost momentum each year in favor of chasing ephemeral likes and practically non-monetizable "views", whose definition changes regularly to suit the platform.

Just a few weeks ago, I highlighted Garbage Day when saying how filtertainment eviscerated our informed monoculture. Every leap in bandwidth eventually fills the container you give it. We marched from static text sites passed around via links and email, to real-time social streams, to pocket screens pumping high-definition video straight into our earbuds. Not that this really comes as a surprise. In 2010, I warned about accelerating information streams on connected devices with "no off button, ever." When you give a tired population a choice between demanding prose and effortless video dopamine, the couch wins almost every night.

Video winning the mass-market feed isn't a mystery, if that's the market you want.

What breaks the open web for writers is a simpler mechanical truth: television has no blue links. When someone leans back into an algorithmic Reel, a video podcast on YouTube, or a zero-click chatbot answer, there is no natural exit ramp carrying a curious mind three hops deeper to an unfamiliar blog. I traced the roots of this choke point back in 2018, examining how a decade of silos throttled open content distribution and left the web linking less and talking more.

Publishing has always rested on creation, discovery, and distribution. Once Google Reader, FriendFeed, Digg, and Technorati disappeared, dominant platforms stopped acting as filtered pass-throughs. They actively throttled outbound URLs to hoard watch time, training creators to perform natively inside the silo for instant feedback while an essay on your own domain sat waiting for visitors who never arrived.

Waiting around for algorithmic cable boxes to hand text writers organic reach is a losing game. If the giant social apps want to be television, those of us who still think, build, and connect through reading have to wire up our own switchboard again. That conviction is why I built Webnerd.ai, which I introduced last month as a personal project that has no expectations of millions of users, but rejuvenates that feeling of discovery and sharing.

Do your part by cutting out the broadcast middleman: subscribe directly to blogs, personal newsletter inboxes, feeds and publications in folders you control, backed by practical AI summaries and stream audio that save time while still sending clicks straight to the original author.

Even more important is solving the traction gap where open-web discovery always worked best -- from person to person. Algorithms optimize for passive session length, while human readers vouch for voices worth keeping. Curated starter bundles help newcomers find active blogs on day one, while one-click sharing inside the app or right from the browser toolbar with the Webnerd.ai Chrome Extension turns every reader into a distribution node. When I flag a great piece, it lands on my public shared stream, cross-posts to Bluesky, and feeds its own subscribable RSS stream, keeping those blue underlines traveling across the open web.

Broadcast TV never killed books or independent magazines, and Instagram's binge button won't kill sharp writing either. Let the big platforms fight over the living room. The library is still open -- we just have to pass the good reads around ourselves.

The world of finance will evolve. The LLMs are happy to help. [Image via Gemini] 

In the AI era, there's a great divide emerging between the old way and the new way, and practically no industry is more closely aligned with the "old way" with tried and trusted capabilities than that of finance, where security and history are king, integration of new technologies usually comes via massive consulting contracts, and everything had better be FDIC insured. The old way screams of buttoned up suit wearing ties on Wall Street, while we've seen newer generations try forge their own paths, through crypto, gaming through prediction markets or taking long-shot option bets popularized on forums like r/wallstreetbets.

Webnerd.ai Share & Subscribe -- live now in the Chrome Web Store.

The Web content model consists of three major parts: creation, discovery and distribution. The last decade-plus has seen tremendous turbulence as one-time hubs came and went, and content creators lost a grip on how their content could be consumed and shared easily from both dedicated fans and casual visitors. Couple that with shorter attention spans and all matter of marketing hacks that have distracted core audiences, and it's a tough slog out there for journalists and bloggers.

One of the motions I've missed in our consumption and flow has been the fast option to share and subscribe as I encounter the best content on the web. So I've built a Chrome extension for Webnerd.ai that has three major functions:

1. Subscribe to new sources and add them to your folders as you browse.
2. Add individual items to your shares in Webnerd.ai, even without subscribing.
3. Share directly to Bluesky, with optional caption.

Starting today, Webnerd.ai Share & Subscribe is officially public on the Chrome Web Store, working across Chrome and other modern browsers, such as Brave, Arc, Vivaldi, and Edge.

Back in our Web 2.0 peak, I had bookmarklets for Google Reader and FriendFeed as mainstays in my browser and I could see top stories spread from person to person. The act of sharing content helps expose great new sources to my network, and in turn, I learn from them.

Here are some benefits of the Webnerd.ai extension:

One click publishes the story directly to your Webnerd.ai Shared Items, your personal curated stream (like mine at @louis-gray), and its accompanying RSS feed.

The extension is tuned for fast link-blogging while you read, including:

• Auto-Saved Quotes & Notes: Highlight any passage on the page before opening the extension and it drops right in as a clean blockquote.
• Automatic Tracker Stripping: Marketing parameters like utm_*, fbclid, gclid, and newsletter tracking tokens get scrubbed automatically before you share.
• Simultaneous Bluesky Cards & Standard.site Endorsements: Keep the Bluesky box checked to cross-post straight to your feed (such as my LG Stream) with rich OpenGraph link cards, compressed thumbnails, clickable hashtag facets, and cryptographic site.standard.graph.recommend endorsements via AT Protocol OAuth 2.1.

Live Feed Radar, Cadence Previews, and One-Click Folders

Spot hidden feeds with an optional glow, check the posting cadence, and add as you go.

Modern browsers stripped the orange RSS icon out of the address bar years ago, indicating millions of readers that feeds died when they were actually hiding in plain sight. Turn on the extension's opt-in Toolbar Glow  and the toolbar icon gently illuminates whenever a page publishes RSS, Atom, JSONFeed, or AT Protocol Standard.site publications -- including subscribable channels and profiles across Substack, Medium, YouTube, GitHub, Mastodon, Bluesky, and Reddit.

And if you are worried you're going to subscribe to a site that posts way too often, you can previews a feed's latest three headlines alongside an instant cadence check, so you know right away if a blog is active. From there, file the writer directly into any of your existing Webnerd.ai folders or spin up a new folder inline.

Right-Click Quick Share and Privacy-First Permissions

Right-click any page, quote, or link to Quick Share in the background with zero browsing tracking.

When you're moving fast, right-click any page, highlighted quote, or outbound link and hit Quick Share to Webnerd.ai. It publishes in the background and pops a clean confirmation toast in the corner of the page with direct links to view your post on Bluesky or in Shared Items.

Just as important is what the extension refuses to do. Too many browser add-ons demand blanket access to read every page you visit around the clock. I couldn't care less about your browsing history. Out of the box, Webnerd.ai runs on minimal activeTab permissions -- zero background tracking of your browsing activity -- only inspecting the current tab when you click the icon, tap the hotkey, or trigger the context menu (unless you explicitly opt into the ambient Feed Radar glow).

install Webnerd.ai Share & Subscribe from the Chrome Web Store, pin the pulse icon to your toolbar, and tap 1-Click Pair over at webnerd.ai/extension to connect your existing Webnerd.ai session. Give it a spin on your open tabs today and ping me on Bluesky with what you want to see next -- the native Android app is up next.

AI writes, AI scans, and the human chair stays empty. [Image via Gemini]

We're in a funny spot with AI at the moment. As people debate its value, with one side arguing it's the greatest invention since fire, all while the other calls anything it touches pure slop, AI is actively finding a foothold in evolving how business is done, in all facets. To claim otherwise is ignorant at this point.

Software is being written more quickly with AI. Security gaps are being both exploited and solved more quickly. All matter of communication is being authored and adjusted more quickly. As I said in my first post after multiple years' hiatus, we will need to find out the best place for AI and humans to coexist, and I truly believe the discussion of AI will eventually fade to the background, just like our flareups about social, mobile, local, and whatever transformative buzzword at the moment happened to be. This is not to undercut the actual value and impact of AI, but to optimistically suggest we as humans are great at adjusting.

Our eyes and our minds have been trained since the day we were born to understand what humanity looks like. Since we all first started to learn to read or watch TV, we have absorbed what it means to be "real", and we visibly react when something feels synthetic. We all have a visceral reaction when special effects seem too special, an ad seems too perfect, or a visual defies comprehension. Something feels "off". But as the models train and get better, learning through feedback and continuous reinforcement, their images and video get better, and so does their writing.

Techmeme is aflutter this weekend about a Bloomberg report that shows where we are in this particular cat and mouse game. As AI writing becomes more human, more humans can get outed for sounding too much like AI. The end result is predictable, with people intentionally making mistakes, and writing in a way that bots won't, so they don't get accused of shortcutting their work, or leaving the hard work to an LLM. If you think the bots can't adjust to make typos on their own, or to follow instructions to sound even more human so even the bots will fail the AI detection test, well, you haven't thought this through. Maybe you've even seen the viral posts that say Mary Shelley's novel Frankenstein would be considered full AI generated because the models themselves were trained on the book.

Since kicking off my first posts here two decades ago, I've had more than 3,000 posts and countless words hand typed into a myriad of open CMS windows. I've written buckets of emails or social posts and Slack messages all over the place. But I also know that in 2026, it might make sense to let the bot do a first draft, especially when it solves the blank page problem. What I do worry about, eventually, is if the AI is doing the writing, and the AI is doing the distilling and the summarizing, what if no actual humans consumed and fully took in the content? We are all very busy people, and if not, we all prefer to be seen as such, and we fill the edges of our time with things we'd rather be doing than reading text slop.

Running a script against your content to hide em dashes or add typos to seem fallible isn't going to automatically flip the lever that confirms you're a human and the AI is not. It takes an entire body of work, a corpus that no machine has, with a real personality that's adjusted through experience. 

Nearly twenty years ago, I wrote that your blog is your brand, and later, that blogging remains the foundation for who you are online. The latest generation has grown up with blogs being too slow, perhaps, with TikTok and Instagram being more visual quick hits of dopamine and long form being less valuable. Now Gen Z is approaching college and a daunting workforce where AI has always been expected and accepted, even as its place is evolving and being debated. Some of them are definitely writing their course papers with AI. Some aren't. But the reckoning won't come from somebody getting outed for asking ChatGPT, Claude or Gemini to be their scribe. It will come when everyone is distracted by something more exciting and nobody was reading anyway.

Disclosures per always: I work at Google and use our Gemini and Antigravity tools a lot. I wrote this post by hand. But how would you know?

When I debuted Webnerd.ai last weekend, the goal was pretty straightforward: bring back the fast, high-signal, human-curated morning reading ritual I loved in the heyday of classic RSS, updated for how the open web actually works in 2026. But just as much as I've enjoyed returning to that routine,  I've appreciated steering the roadmap with Antigravity. A decade plus ago, I'd point to companies that blogged weekly with their updates and bug fixes as leaders in their space, communicating to readers what was new. Now, I can make multiple updates daily, or make fixes in minutes myself -- and have even debuted a release notes section you can subscribe to from right within the app. It's an RSS inception, basically.

Over the last few weeks of living inside Webnerd.ai whenever possible, curating my shared stream and pushing links out to LG Stream on Bluesky, every "I wish it did this" or "I wonder if it could..." moment has turned into working code rapidly. Sean Goedecke, whose blog has rapidly become one of my favorites of 2026, published a piece today titled "You can just ask AI to do things", and honestly, there is no better summary of the world we live in now. If you can think it, you can build it.

Because things have moved fast since the weekend, here is a quick highlight reel of new features in Webnerd.ai right now.

First-Class Open Identity: AT Protocol OAuth, PDS Sync, and Standard.site

If you're going to build a home for the open web, you shouldn't lock people's reading identity behind a single provider. Current employer aside, I started with Google sign-in because that's what I knew. But in fast response to public request,  Sign in with Google now sits side-by-side with native Sign in with AT Protocol. Whether you use a bsky.social address or verify with your own domain like louisgray.com, you can jump straight in without extra modals or app-password gymnastics.

One click with Google, or bring your decentralized AT Protocol ID.

Even better, your decentralized identity isn't just a login badge, it carries your reading graph. Inside the OPML & Subscriptions hub, you can still drag and drop a classic XML file, or you can hit Sync PDS to pull decentralized subscription lists straight from your Personal Data Server across tools like Skyreader, Standard Reader, and Standard.site. Think about that for a second. Am I an expert on those? No. Could I work with Antigravity to build support here? Yes. So I did.

Classic OPML portability meets one-click AT Protocol PDS subscription sync.

Webnerd.ai also now speaks native at:// and standard:domain publications directly in the Subscribe dialog, and when you share a story from a Standard.site publication, Webnerd automatically writes a cryptographic site.standard.graph.recommend endorsement record to your PDS (and cleans it up if you unshare). Open standards work best when apps actually interoperate instead of just talking about it or seeing an acronymn as a checkbox.

Rescuing Newsletters from Inbox Purgatory

As much as I appreciate newsletter platforms like Substack and Beehiiv quietly keeping RSS alive under the hood, plenty of great writers still send email-only newsletters, and in my view, an email inbox sandwiched between flight confirmations, calendar invites, and shipping receipts is not the best place to read long-form writing.

Every account now gets a personal @webnerd.ai newsletter address that turns email dispatches into clean RSS feeds.

You can now open + Subscribe and switch to the new Personal Newsletters tab, and you'll find your own dedicated @webnerd.ai address. Use it when signing up for newsletters (or forward existing ones via Gmail filters or the included one-click Cloudflare Email Routing snippet), and Webnerd automatically spins up a separate, clean feed for each sender inside your Newsletters folder. Newsletters belong alongside the rest of your reading, not competing with work email.

Listening to Your Stream & Real Power-Reader Triage

Sometimes even my eyes need a break from screens, or I want to catch up on my feeds while walking the dog. Hitting the new Listen button in the top bar (or on any individual post) launches a docked audio player right at the bottom of your stream.

Listening through my morning feeds with the docked Audio & Spoken TTS queue.

If a feed item includes a native podcast or audio enclosure (flagged with an Audio badge), Webnerd plays the original audio directly; if it's a written post, it seamlessly reads the article aloud via a spoken Text-to-Speech queue with 1x to 2x playback speeds, an Up Next drawer, and automatic mark-as-read as each story finishes.

And because anyone subscribing to 100+ feeds may eventually face inbox-style bankruptcy, I've gone deep on power-reader ergonomics:

• Granular Mark-as-Read: A new split dropdown lets you clear items Older than 1 day, 3 days, 1 week, or 2 weeks, or Mark above as read as you scroll — so you can declare peace on Tuesday's news while keeping this morning's stories untouched.
• Folder & Subscription Management: You can now add, rename, drag-and-drop, delete, and merge folders inline or from a dedicated Manage Subscriptions view, toggle Newest / Oldest sort order, and pull Full Text readability views on stub feeds that only publish a sentence or two in XML.
• More Classic Themes: Alongside Cloud Nine, Warm Sepia, and OLED Black, desktop nostalgia nerds can also switch into Mac Classic, Mac OS X Aqua, BeOS, and Green Android.

AI on Your Terms — Never Between You and Your Feeds

I wrote earlier this month about how filtertainment eviscerated our informed monoculture. The whole point of an RSS reader is that you choose the sources, and nobody hides a post  because an algorithm decided outrage would keep you scrolling longer.

Where AI does shine in a reader is synthesis on demand — when you explicitly ask for it.

Optional Executive Briefings synthesize what happened across your feeds.

Tap Briefing in the toolbar (or hit B on your keyboard) and Gemini 3.8 Flash synthesizes an executive summary across your unread stream — scoped to your Last 100 items, Last 200 items, Last 12 hours, or Last 24 hours — clustering breaking storylines and citing the exact outlets in your subscriptions. Every expanded card also has an optional one-tap TL;DR button when a 4,000-word essay drops five minutes before your next meeting. AI acts as your research assistant, never your gatekeeper.

Mobile Overhaul, Instant Startup, and Eating Our Own RSS Dogfood

Under the hood, Webnerd.ai now boots through a single-round-trip bootstrap endpoint paired with a local snapshot cache for sub-16ms first-frame paint — so opening the tab feels instantaneous even on spotty mobile Wi-Fi.

On phones, we replaced cramped desktop menus with a thumb-friendly 4-tab mobile layout (Feeds, Search, Shared, and Folders), edge-swipe gestures, and a guided Add to Home Screen full-screen web app setup on iOS while I continue working on a native Android companion app - coming soon.

The redesigned four-tab mobile experience and full-screen iPhone web app.

Finally, you can't build an RSS reader and not publish your own changelog via RSS. Webnerd.ai now has an official Release Notes & Product Blog at webnerd.ai/releases, complete with a one-click + Follow in Webnerd.ai button and its own RSS feed at webnerd.ai/releases/rss.xml.

Eating our own dogfood: Webnerd.ai's product changelog lives at /releases with its own RSS feed.

If you tried Webnerd.ai over the weekend, or haven't yet, take the new audio player, newsletter inbox, or AT Protocol sync for a spin. If something bugs you or you have an idea for what an RSS reader in 2026 ought to do next, ping me on Bluesky — there's a pretty good chance Antigravity and I will have it shipped by the next weekend.

I am not an engineer and I didn't major in computer science. There comes a point in understanding and using technology where I have a limit, and even with my years of experience in Silicon Valley, it's not impossible to run into issues that I just can't solve.

After a failed attempt a few years ago to move my blog to a new host and restart it on Wordpress, following general bit rot and content decay, the blog went completely dark -- an embarrassing development if I ever tried to point people to old stories or reference previous work, forced to look at my Blogspot backup or the Internet Archive to find some old content or try to prove my one-time relevance. 

While the world of blogging has changed in the last decade plus, my complete lack of new content wasn't an issue of a lack of ideas or a lack of time to write. It was straight up broken and I'd just about given up on getting it fixed, unwilling to turn my back on 3,000 posts only to start over somewhere else from scratch. But each attempt I'd make to run Blogger to Wordpress importers or adjust DNS settings failed. Until I turned to Antigravity.

My initial prompt that started the rebuild.

Antigravity is Google's AI-centric software development platform - very similar to Anthropic's Claude and OpenAI's Codex. Each of those products has its own champions, but the purpose is roughly the same. Simplify the ability for people to create, and leverage the latest models to understand user intent quickly and build smartly. I use Antigravity all the time at work, so with the new Googlebook being designed explicitly for working with Gemini, I thought I'd ask Antigravity to tackle this major project, and it didn't blink.

Rebuilding the blog, to me, meant fixing everything.

My expectations were initially low, as they often are after having tried the same thing over and over and gotten absolutely nowhere. I told Antigravity I wanted to rebuild the blog at the same domain and bring along my 3,000+ posts, along with all the images I'd used in those posts. I also needed to not just recreate a frozen point in time, where I had left off in 2019, but have a foundation to keep going. I didn't expect it to work, and I definitely didn't expect it to work so quickly.

Antigravity asked me a few questions, such as where my domain was currently hosted, if I had my Blogger archive from Google Takeout (I did), and how I wanted my domain setup. As Antigravity, using Gemini, churned away, it very quickly sussed out exactly how to solve my DNS issues and found me a new host in Cloudflare, which enabled easy read/write from Antigravity, and we were able to import my blog history. Not only did it very confidently tell me what was needed, but it guided me to which pages and options to choose from, both in my old host and my new one, that I needed to get what I wanted.

After seven years without posts and years of the domain just absolutely not working, I had my blog back to life, with all historical posts, in about two hours.

With that major milestone out of the way, I asked Antigravity how I was supposed to make new posts, and did my Cloudflare installation come with a content management system (CMS)? Reader, it did not.

Showing a blog CMS while in the CMS is so meta, but Antigravity built this.
Antigravity didn't miss a beat, saying, would you like me to build one for you? I said yes. So it made one. I logged in and saw it didn't have any of my old posts automatically saved, as I would have expected. Not a problem. I asked Antigravity to add them, and it did. I had gone from a totally dead domain and buried blog to a live domain and a blank slate to start over and make new posts again, without any missing history. I was no longer blocked.

From there, the only limitations have been what I ask for. Like any good blogger, I got to optimizing the look and feel of the site right away, asking Antigravity to feed me some new modern layouts and color palettes for 2026. I asked it to build in full-feed RSS, to supporting subscriptions and the open web. It rebuilt all my static pages, my yearly archives, and keeps a live count of total posts from my very first attempts back in 2006. It added a native commenting system and imported conversations from decades past, successfully. Antigravity also understood my previous style, and we've stuck with my tradition of the 125 x 125 image at the top left of posts to signal what each post is about.

Should something surprise me, or act in a way I didn't expect, I just go back to my ongoing conversation with Antigravity, and provide that feedback -- if posts aren't displaying how I expected, if numbers don't change, or basic functionality, like saving drafts in the CMS, had been missing from the first round.

The speed of creation and iteration and improvement is really unprecedented, and hasn't required daunting technology hassles. As I come up with ideas for the blog's functionality or its CMS, I just ask Antigravity. If Antigravity needs approval for permissions, I get the option to grant or deny them, and often found Antigravity giving me options to choose from, with a give and take that always leaves me in control.

Antigravity understands my input and takes action, with intentional follow-up.

Like I wrote last week, the opportunity to use natural language to simply build, or what some call "vibe coding", is changing our relationship with developers. If you can think it you can build it. Spoiled by my work environment, I was excited to see Gemini 4.0 (Argon) make its way into Antigravity this last week, making my conversations around this project (and others) even more in depth. And before you ask, yes, I pay for Google's AI Ultra subscription, and no, I don't have a discount. Having Antigravity available to me, with the latest models, baked into my Googlebook, is an absolute must in 2026.

The Human–AI Co-Creation Studio [Image via Gemini]

As a teen training to get my driver's license, my dad wanted me to learn "the right way". To him, that mean getting my first experiences behind the wheel with a stick shift, learning how to coax his sturdy and unimpressive 1990s era Mazda 323, with manual transmission, from low gear to highway cruising speeds, all while avoiding stalls and switching gears smoothly. Through this training, many trial and errors were had as I gained experience.

Eventually, I took and passed the drivers' test, but in an automatic vehicle - my mom's wood paneled Oldsmobile station wagon. Despite its heavy build and thoroughly unattractive appearance, the car's automatic transmission reduced complexity for me, letting me focus on driving the car, not just fighting to get it to work. Now, depending on which survey you choose, less than 1/5th of drivers know how to use a manual transmission, and those cars account for only 2% of all sales in the United States. While there will always be strong opinions about the efficiency or quality of manual vs automatic, from a technology perspective, it's a relic of a previous era.

The rapid ascent of AI-assisted coding, much like that transition from manual transmission to automatic, has reduced complexity and expanded the total market for participants -- not only changing how software engineers work, but making it possible for those without coding experience to speak their ideas into existence, and iterate to make them real. If you can think it, you can build it.

While some debate if AI is conscious or sentient (it's not), it certainly isn't yet fully autonomous. Working with any of the leading AI-powered code environments is a continual give and take between the LLM and the human, a hybrid approach Sean Goedecke calls our "centaur age", reflecting the reality of a time when the machines are so fast and so capable, humans can't directly compete alone but work in tandem with their silicon partners.

Goedecke says: 

"It is no longer possible to credibly argue that an unassisted software engineer can beat a centaur team. The value provided by coding agents is just too great: not just the speed of producing code, but the speed of review and testing."
-- Software's centaur age may last decades

What I have experienced, both at the office, and in my own side projects, is that AI isn't just changing the end product of what we build, or speeding our ability to eliminate tasks -- but more importantly, enabling us to do things we simply were unable to before, expanding our scope and redefining what we could achieve. In the last three years, we've graduated from simple question and answer chatbots to progressively capable workspaces that are waiting to take our instructions, and agents eager to do our bidding.