Andy Ocean

If you’re 20 and building apps in 2025, I’m jealous of you. I was 16 when I started in 2015. I had to LEARN to code, design, write. No vibe-coding, everything manually. It took me 5 years to get from $0 to $1K MRR. Here’s what I'D DO DIFFERENTLY NOW if I were you 👇

@AlexFinn How many tokens per second you get ?

We have entered a new age An open source model just released that is: • Better than Opus 4.6 for coding • Faster than Sonnet • State of the art for tool calling I will be running Opus level superintelligence on my desk. For free. This quite literally changes everything I will now be able to have a super intelligent AI model powering my OpenClaw that will search through X and Reddit 24/7/365 finding challenges to solve, then building apps out to solve those challenges, then shipping the apps live All autonomously A full, autonomous, software factory on my desk running 24/7 for free. Imagine what happens when people realize what's now possible. Totally secure, private, unlimited, free in your home super intelligence. Nothing will be the same

Spotify is roasting me hard

@SimonHoiberg what do they mostly do ? what are the roles?

My OpenClaw team is starting to mess with my head 😳 I have 9 AI agents in a Discord. I gave them all names + profile images. They can all talk to each other, as well as me. They all have heartbeat instructions to "check in" every once in a while, which often triggers a small conversation between them. And sometimes, when we're all collaborating, this Discord server really feels "alive" - like there's a really good energy! I repeatedly get this very strange feeling that we're all building together and having fun. And I have to remind myself that it's really just me... and a bunch of AIs. Am I the only one? 😬 This is a bit concerning.

A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent. IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits. Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased. Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion. Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage. Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building. Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it. Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements. Questions. A few of the questions on my mind: - What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*. - Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). - What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music? - How much of society is bottlenecked by digital knowledge work? TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

@hamptonism it's extremely dangerous for people like me

yea, we’re cooked.

@nilansaha No

My 5$ VPS could do this

@meshtimes_ Congrats, it’s not only 20k users, it’s actually 20k calendars created so it’s kinda insane in such a short time frame

This is how much it actually cost me to launch an app I vibe-coded Receipts in the video 🤭 Vercel: $142.54 V0: $51.48 Supabase: $25 Domain: $11 Total: $230 Still learning as I go <3 how would you make this cheaper?

@AlessandroLavis wan

wan 2.2 is starting to feel unfair you drop in a single reference video swap the face with one image and the system rebuilds the entire ad shot-for-shot same pacing same structure same emotional beats new avatar brands are using it to clone top-performing videos across every niche without refilming anything i put together a short breakdown showing – how to pick the right source videos – how to avoid uncanny outputs – and how to generate variations that actually convert rt + comment “wan” and i’ll send it over (follow for dm)

@1Umairshaikh the idea of its' success

What’s the best part of building a startup?

@HsanC_ at this point I'm afraid that I may sound like AI lol

I see AI comments everywhere on X now. My posts are full of them. When is this gonna end?

@Gharbi__S @oranahh Dam this sounds interesting

@oranahh DeliberAI - your thinking partner. It challenges your assumptions and uncovers your blind spots using 20+ techniques used by top consulting firms, all while building a structured document. It forces YOU to think, so you walk away with a concrete roadmap. deliber.ai

What did you work on today?

@oranahh Getting sore throat fixed 😂

@AlexHormozi In such cases I just leave myself an audio note , I listen to it later and like shit , this guy is making sense

How to see if someone will snap under pressure: When shit gets hard, they will prioritize their feelings over their commitment and justify the change claiming their new feelings nullify their previous commitment.

@lynk0x Think bigger , App Store is NOT saturated

You meet your 18 year old self, you're allowed 3 words. What do you say?

@simonecanciello Lol, that’s smart

studytok is one of the most profitable niches if you know how to promote apps. 11.3M views. > surreal situation (ai coughing) > confused human grabs attention > ai complains about her questions perfect for comments. perfect to promote an app. this should be studied.

@ItsAndraz Sacrificing sleep is the stupidiest idea on earth . But I still do it sometimes - can’t stop my monkey brain 😑

I slept 4 hours last night. 3 coffees down but my brain is still useless. You can't convince me that sacrificing sleep is good for success.

Ultimate vibe-coding SaaS hack: 🤞while your CLI thinks - reply to X posts. Building in public in 2026 actually makes sense now.

@ThePeterMick Buy something for $1K and sell it for $2K. Buy something for $2K and sell it for $4K. Etc. Repeat until happy. Don’t understand why people don’t do that

You have $1000 a MacBook and Internet access How do you make money?

@aryanlabde Dam, I have to change my avatar to a girlie too

Just hit 3,000 followers today🎉 Back in May: > thought content creation was cringe > $0 revenue > 0 followers Now i have: > 3030 followers > $800 from X All I did was -> show up every day.