Built an entire game's UI in Google Stitch for the #StitchChallenge
Sketchle is a drawing guessing game where sketches reveal stroke by stroke.
Designed and prototyped in Stitch. Built with React + OpenCode MCP.
Try it: https://t.co/6SYouxTxKL
@stitchbygoogle#StitchChallenge
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.
Last quarter I rolled out Microsoft Copilot to 4,000 employees.
$30 per seat per month.
$1.4 million annually.
I called it "digital transformation."
The board loved that phrase.
They approved it in eleven minutes.
No one asked what it would actually do.
Including me.
I told everyone it would "10x productivity."
That's not a real number.
But it sounds like one.
HR asked how we'd measure the 10x.
I said we'd "leverage analytics dashboards."
They stopped asking.
Three months later I checked the usage reports.
47 people had opened it.
12 had used it more than once.
One of them was me.
I used it to summarize an email I could have read in 30 seconds.
It took 45 seconds.
Plus the time it took to fix the hallucinations.
But I called it a "pilot success."
Success means the pilot didn't visibly fail.
The CFO asked about ROI.
I showed him a graph.
The graph went up and to the right.
It measured "AI enablement."
I made that metric up.
He nodded approvingly.
We're "AI-enabled" now.
I don't know what that means.
But it's in our investor deck.
A senior developer asked why we didn't use Claude or ChatGPT.
I said we needed "enterprise-grade security."
He asked what that meant.
I said "compliance."
He asked which compliance.
I said "all of them."
He looked skeptical.
I scheduled him for a "career development conversation."
He stopped asking questions.
Microsoft sent a case study team.
They wanted to feature us as a success story.
I told them we "saved 40,000 hours."
I calculated that number by multiplying employees by a number I made up.
They didn't verify it.
They never do.
Now we're on Microsoft's website.
"Global enterprise achieves 40,000 hours of productivity gains with Copilot."
The CEO shared it on LinkedIn.
He got 3,000 likes.
He's never used Copilot.
None of the executives have.
We have an exemption.
"Strategic focus requires minimal digital distraction."
I wrote that policy.
The licenses renew next month.
I'm requesting an expansion.
5,000 more seats.
We haven't used the first 4,000.
But this time we'll "drive adoption."
Adoption means mandatory training.
Training means a 45-minute webinar no one watches.
But completion will be tracked.
Completion is a metric.
Metrics go in dashboards.
Dashboards go in board presentations.
Board presentations get me promoted.
I'll be SVP by Q3.
I still don't know what Copilot does.
But I know what it's for.
It's for showing we're "investing in AI."
Investment means spending.
Spending means commitment.
Commitment means we're serious about the future.
The future is whatever I say it is.
As long as the graph goes up and to the right.
It's here and it's beautiful😍.
I'm excited to announce the release of YarnGPT, the best text to speech system for Yoruba, Igbo, Hausa, Pidgin and Nigerian English🇳🇬.
YarnGPT can help dub videos to Nigerian languages, create audiobooks/voice overs, and convert URL/PDF to audio.
I used to work 6am - 6pm, 6 days a week, on a construction site in my early 20s.
Honestly? It fucking sucked, dude. I would sit in my car outside the site at 530am, desperately drinking a coffee, telling myself over and over again, "god I wish I was in sciences"
Because every night when I got home what did I do? Watch Walter Levin MIT Open Courseware physics lectures. I had already exhausted all the popular science books long before so just started on undergrad level physics. The alternative was drinking a six pack of beer like everyone else and watching bullshit TV.
The construction site job was actually better than what I was doing before. Landscaping, stone masonry shit. Backbreaking labor, truly. Breaking concrete slabs up with a sledgehammer and carrying bricks all day. That's literally a punishment in prison.
There was a company event for the property development Corp doing the construction I was working for where everyone talked about their degrees. Most people had been at the company for almost a decade, did random unrelated degrees.
I realized. If I didn't take control of my life the years would tick by. So I went back to school for engineering physics at age, like, 25. I probably wouldn't graduate until I was 30, but shit.
You're going to turn 30 one day anyway. Might as well be doing something you chose.
A year into schooling I had my first paying job in a physics lab, basically minimum wage, but my god. I was getting paid to work in a physics lab. I could drink coffee and read papers, build cool stuff. It was insane.
The kids around me had no idea how lucky we were to be there. They hadn't suffered being trapped in dead end jobs that leave you too exhausted to really think, plan, get ahead. So I viciously worked my ass off through out engineering physics to play the game as best I could. Get the best internships, connections, etc. By the end of undergrad I was taking graduate level classes and outperforming the PhD students at them.
Everything since then had gone better than I could've imagined. I used to think - wow, the dream would be designing fusion reactors, if only. Now I have patents in fusion reactor design. I've worked on particle accelerators, LEO satellite communications, beam driven fusion devices, finite element analysis for RF source design at SLAC.
So no. Fuck mind breaking manual labor. Leave it for the robots. Choose your own path.
I will say though. There are few things as therapeutic and full body workout as shoveling sand. I can show you at least a dozen different sand shoveling techniques to work every muscle in your upper body. Also wheelbarrow technique.
A Mother Is Fighting to Stay Alive, Be the Reason She Survives 🙏
Mrs Yusuf Adebukola, 46 was diagnosed of Chronic kidney Disease (CKD) since May & has been on weekly dialysis which has become exhausting for the family which is why "‼️WE NEED YOUR HELP‼️"
Kindly donate & share
‼️WE NEED YOUR HELP ‼️
We're progressing yet behind
If you see this on your timeline.. kindly help donate & RBC.
KINDLY DONATE TO ACCOUNTS BELOW👇
Bank: Jaiz Bank | First Bank
Acct No: 0011432085 | 3013618048
Acct Name: Yusuf Adebukola M.
https://t.co/NtInCaYW8d
‼️WE NEED YOUR HELP ‼️
if you're seeing this on your timeline.kindly help RBC.
KINDLY DONATE TO ACCOUNTS BELOW👇
Bank: Jaiz Bank | First Bank
Acct No: 0011432085 | 3013618048
Acct Name: Yusuf Adebukola M.
https://t.co/NtInCaYW8d
Publicity group
https://t.co/8xJkZdVroc
@xing_titanium There is no valid reason really. The closest to one is that it makes your code cluttered, but you get accustomed to it after using it in one or two components.
It is 4am Tuesday, the 1st of july 2025. I was jolted awake by the ferocious barking of Rottweilers and pitbulls in my compound!
The barking went on, unrelentingly and intensified around 4:15am. At this time I sniffled that there is trouble looming.
I quickly got up and took my torch.
Alas, there was no one in sight……. only the dogs, restless in their respective cages. I cast my torchlight toward the gate, sweeping every shadowed corner, yet saw nothing but stillness. Mind you, I hadn’t gone beyond the walls of my apartment. Moments later, the silence fractured, first with murmurs, then with the scattered thud of footsteps, like the march of a barbarian battalion.
I heard loud bangs on doors in few flats away from me. Without hesitation, I typed on the lodge group that Armed robbers are upon us and everyone should be ready to come out with a weapon, I called 3 people to inform the local vigilantes and one did.
First thing I did was unsheathe my new Sword I got just a few hours ago, the previous evening from a local market.
This must be your time to shine, I muttered. Hid my Main phone in a secret drawer and told the babe with me to stay calm and lay on the bed.
Standing in the middle of my room, ready to slice any entity that makes its way through my door. I saw a group message on my other phone that said they are officers of @officialEFCC from Kaduna!!! From Kaduna to Niger state!! wtf?? . I was calm a little. About to step out then I heard them breaking down doors.
Man Wtaf !!!
Turned off all lights, and was watching from my window. These guys on red jacket with EFCC written on it were pointing light into ladies room and threatening to break their door if they don’t open and give them their phones.
Funny fact is that a lady was among these armed robbers in uniform employed by the Nigerian government.
A list of the atrocious deeds they exhibited:
1. They arrested 3 of my friends in their houses for no reason, these guys are web3 influencers and they make their money decently. (I don’t want to tag them yet but 1 is @SamuelXeus and @CryptoDefiLord good friend)
2. Cut our barb wire and came in through the fence like robbers
3. Attacked our security man and jumped him like a thief
4. Broke people’s door to gain forceful access
5. Beat a masters student for denying them access to his phone
6. threw Tear gas at someone who escaped into the ceiling
7. broke into empty rooms and took PS5 and some other gadgets
8. They also took a high power scooter/power bike
The only reason they didn’t take me was because they thought no one was around, I remember them patrolling my door and windows with torchlight.
Moreover, the night was fading into daylight and they feared being captured on camera, so they couldn’t visit all the apartments in my lodge.
This Injustice and Lawlessness needs to stop. How does a law enforcement body lead in the violation of law and order?
@officialEFCC@PoliceNG@DailyPostNGR@NDIDI_GRAM@brave_raf@farmercist@wilson_@1CryptoMama@NiphermeDave@NigerStateNG just please lend your voice so the innocent Men can be released.
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