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#AtariSTE 50fps racer: speedo code now optimised resulting fewer frame drops. New "time extend" banner when passing checkpoint. Hud tidied up and high score synchs with main score. Next stop: optimise the stars code (currently written in C!). Getting there one step at a time! 💥

Jonathan Thomas @atariste.bsky.social

1,792 subscribers

12,072 просмотров • 2 лет назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 9

Фото профиля GregzVR 🥽

GregzVR 🥽2 лет назад

Looks like an excellent homage to this, from 1986.

Фото профиля Jonathan Thomas @atariste.bsky.social

Jonathan Thomas @atariste.bsky.social2 лет назад

Yes - it's certainly heavily inspired by the arcade version of WEC Le Mans. 😄

Фото профиля Zafinn Books

Zafinn Books2 лет назад

I think you might have been driving a Ferrari and smoking a big fat cigar around town in the late 80's if you had been able to produce games this good on the STE back then... 👏 😉

Фото профиля Frankie

Frankie2 лет назад

Really polished. Great stuff. This is begging for 4 player serial connected multiplayer 😁

Фото профиля Jonathan Thomas @atariste.bsky.social

Jonathan Thomas @atariste.bsky.social2 лет назад

That would be pretty cool. Maybe in a future update following the initial release.😀

Фото профиля CommodoreBlog

CommodoreBlog2 лет назад

every video, it just gets better.😊

Фото профиля Damon

Damon2 лет назад

Looks amazing

Фото профиля Jonathan Thomas @atariste.bsky.social

Jonathan Thomas @atariste.bsky.social2 лет назад

Thanks Damon!

Фото профиля polyp2000(⧖) +2°c = CORAL REEF EXTINCTION

polyp2000(⧖) +2°c = CORAL REEF EXTINCTION2 лет назад

Fab

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Tom Clancy's The Division

50,021 просмотров • 1 год назад

Today, we're sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new interfaces, across structural similarity and information retention. Read more and request early access at the link below.

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Runway

701,773 просмотров • 9 дней назад

Been quietly building Aaru's new design system and porting it into code over the past week. Components built on Base UI, one at a time, all living in our own custom "storybook". Started with the Figma tokens, ended up fine-tuning everything in code, as colours and type just render differently in the browser. Now testing patterns and moving into layouts. Honestly the biggest unlock for design handover I've had in years. Next up: documenting each component's usage for agent use. Recommendations welcome.

Been quietly building Aaru's new design system and porting it into code over the past week. Components built on Base UI, one at a time, all living in our own custom "storybook". Started with the Figma tokens, ended up fine-tuning everything in code, as colours and type just render differently in the browser. Now testing patterns and moving into layouts. Honestly the biggest unlock for design handover I've had in years. Next up: documenting each component's usage for agent use. Recommendations welcome.

Muharrem Şenyıl

45,491 просмотров • 1 месяц назад

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

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Om Patel

159,676 просмотров • 5 месяцев назад

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

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Alex Ker 🔭

739,874 просмотров • 3 лет назад

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

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Andrew Ng

127,724 просмотров • 1 год назад

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,438 просмотров • 9 месяцев назад

Introducing The Matrix --- a foundation world model for generating infinite-length, hyper-realistic videos with real-time, frame-level control: - Infinite-length video generation - 720p high-quality rendering - Real-time, frame-level control at 16 FPS - Generalization to real-world video control 🔗Blog: 📄Paper: 💻Code & Playable Demo: Coming soon! Key Innovation: A brand new technique called the shift-window denoise process model, enabling auto-regressive generation for diffusion and consistency models in real-time. Special thanks to project leader Ruili Feng and the entire Matrix team for their dedication and hard work over the year-long project.

Hongyang Zhang

178,407 просмотров • 1 год назад

Medical Billing Company owner confirms Cigna Health Insurance has begun automatically “Downcoding” If Cigna thinks a service is too expensive, they will automatically change it to a different code and pay the doctor the new lower amount I made posts warning about this, it’s happening Downcoding occurs when an insurer reduces a billed procedure code to a lower-level one, resulting in lower reimbursement. In healthcare An example of this is: A new patient exam and follow up patient exams, they're going to take those high level exams when your doctor's actually spending time with you trying to figure things out coded at a 4 or a 5. These are higher level exams and they're gonna automatically down code these exams to a 2 or a 3. So the doctor won’t get paid as much for these exams, and critics say this will greatly impact patient care This is fraud. They’re purposefully and falsely changing records and billing requests

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Wall Street Apes

413,507 просмотров • 8 месяцев назад

For those who wish to deny that the protestors (code for unruly mobs) were throwing fireworks and flashbangs, here's a little additional evidence! Were you in the smoking area at half time when the mobs were throwing fireworks and objects at Villa fans? Particular highlight was when one was arrested and they were greeted with "You've seen the Villa now F off home" #AVFC #AVFC

For those who wish to deny that the protestors (code for unruly mobs) were throwing fireworks and flashbangs, here's a little additional evidence! Were you in the smoking area at half time when the mobs were throwing fireworks and objects at Villa fans? Particular highlight was when one was arrested and they were greeted with "You've seen the Villa now F off home" #AVFC #AVFC

Aston Villa Updates

150,099 просмотров • 10 месяцев назад

Command Code is now in Codex!! The plan we're on is $1 a month. It comes with $10 of credits and around 15K requests. GPT-5.6 Luna is in it, the same model we just moved to when the OpenCode sub got cut, and Grok 4.5 sits in there too next to DeepSeek, Kimi, GLM and MiniMax. Their own docs say the $1 tier has no API access. It's in our picker anyway. So there's a dollar sub in there next to everything else now. Next time a limit hits mid loop we grab it and keep going.

Command Code is now in Codex!! The plan we're on is $1 a month. It comes with $10 of credits and around 15K requests. GPT-5.6 Luna is in it, the same model we just moved to when the OpenCode sub got cut, and Grok 4.5 sits in there too next to DeepSeek, Kimi, GLM and MiniMax. Their own docs say the $1 tier has no API access. It's in our picker anyway. So there's a dollar sub in there next to everything else now. Next time a limit hits mid loop we grab it and keep going.

Ziwen

120,308 просмотров • 23 дней назад

ANTHROPIC LEAKED 8 RULES THAT GIVE ONE ENGINEER 8X FROM A SINGLE CHANGE the engineers built it so nothing adds up - it multiplies, and that's the 8x task → split → verify → score → write back one queue means you wait for every step in turn - three workers together cost you the slowest one, not the sum of all. as long as you're the one reading the diff, the bottleneck is you, not the model. state is written at every step - a crash mid-run costs you one step, not the whole session. history gets compressed 25 times over - the next pass starts at 8k instead of 200k. nothing moves forward without a number - "it got better" isn't a result, and the breakage comes back when you're no longer watching. the eighth rule is the only one that writes back into CLAUDE.md - the agent records what it learned, and the next run doesn't start from zero. copy this into Claude Code today - and tomorrow you work like an engineer on $1.5M a year ↓

ANTHROPIC LEAKED 8 RULES THAT GIVE ONE ENGINEER 8X FROM A SINGLE CHANGE the engineers built it so nothing adds up - it multiplies, and that's the 8x task → split → verify → score → write back one queue means you wait for every step in turn - three workers together cost you the slowest one, not the sum of all. as long as you're the one reading the diff, the bottleneck is you, not the model. state is written at every step - a crash mid-run costs you one step, not the whole session. history gets compressed 25 times over - the next pass starts at 8k instead of 200k. nothing moves forward without a number - "it got better" isn't a result, and the breakage comes back when you're no longer watching. the eighth rule is the only one that writes back into CLAUDE.md - the agent records what it learned, and the next run doesn't start from zero. copy this into Claude Code today - and tomorrow you work like an engineer on $1.5M a year ↓

Noisy

37,450 просмотров • 1 месяц назад

Anthropic just released a talk on building headless automation with Claude Code. Presented by Sid Bidasaria, Member of Technical Staff at Anthropic live at Code with Claude on May 22, 2025 in San Francisco. Here is what the talk covers. Headless mode lets you run Claude Code without a person actively typing prompts from inside an automated script. Instead of a live session, a script calls Claude with a pre-written instruction using the -p flag. This opens the door for Claude Code to become a piece of a much larger, automated process. In plain terms: Claude Code stops being a tool you use and starts being a service that runs on its own. What this unlocks: Scheduled tasks: Run Claude Code on a cron schedule without anyone at a keyboard. Fix linting errors across an entire codebase. Automatically. Overnight. CI/CD integration: Trigger Claude Code as a step in your build process. Open a PR. Claude reviews it, flags issues, and pushes fixes before a human ever looks at it. GitHub automation: A project manager comments "Claude fix this" on a GitHub issue. Claude reads the request, finds the code, writes the fix, and opens the PR. Multi-machine workflows: One orchestrator dispatches tasks to multiple Claude Code instances running in parallel across different repos simultaneously. When you combine headless mode, hooks, and GitHub Actions, development teams can automate tasks that usually eat up significant time freeing senior engineers to focus on architectural problems while Claude handles the repetitive ones. If you use Claude Code for anything beyond single sessions this talk is worth 20 minutes of your time.

Anthropic just released a talk on building headless automation with Claude Code. Presented by Sid Bidasaria, Member of Technical Staff at Anthropic live at Code with Claude on May 22, 2025 in San Francisco. Here is what the talk covers. Headless mode lets you run Claude Code without a person actively typing prompts from inside an automated script. Instead of a live session, a script calls Claude with a pre-written instruction using the -p flag. This opens the door for Claude Code to become a piece of a much larger, automated process. In plain terms: Claude Code stops being a tool you use and starts being a service that runs on its own. What this unlocks: Scheduled tasks: Run Claude Code on a cron schedule without anyone at a keyboard. Fix linting errors across an entire codebase. Automatically. Overnight. CI/CD integration: Trigger Claude Code as a step in your build process. Open a PR. Claude reviews it, flags issues, and pushes fixes before a human ever looks at it. GitHub automation: A project manager comments "Claude fix this" on a GitHub issue. Claude reads the request, finds the code, writes the fix, and opens the PR. Multi-machine workflows: One orchestrator dispatches tasks to multiple Claude Code instances running in parallel across different repos simultaneously. When you combine headless mode, hooks, and GitHub Actions, development teams can automate tasks that usually eat up significant time freeing senior engineers to focus on architectural problems while Claude handles the repetitive ones. If you use Claude Code for anything beyond single sessions this talk is worth 20 minutes of your time.

Elias

14,096 просмотров • 3 месяцев назад

Even if AI will write 90% of code. But it won’t replace engineers. Windsurf’s founder explains that even if AI generates most of the code, engineers still spend time reviewing it, debugging issues, designing systems, testing, deploying, and making architectural decisions. Those parts don’t disappear. He brings up Amdahl’s Law to make the point: speeding up one part of the workflow doesn’t dramatically change the total time unless everything else speeds up too. For example, if writing code takes 30 out of 100 total time units, and AI brings it down to 3, the total time still only drops to 73. That’s just a 27% improvement. More productivity doesn’t mean fewer engineers. It just increases the ROI of building tech. And when ROI goes up, companies are more likely to build—and hire more people to do it. Take JPMorgan Chase. They have 50,000+ engineers and a $17B software budget. If each engineer can ship more software, that doesn’t reduce headcount. It raises the cost of not building. Companies like Windsurf and Anthropic are hiring more engineers—not less—despite being at the edge of AI code generation.

Even if AI will write 90% of code. But it won’t replace engineers. Windsurf’s founder explains that even if AI generates most of the code, engineers still spend time reviewing it, debugging issues, designing systems, testing, deploying, and making architectural decisions. Those parts don’t disappear. He brings up Amdahl’s Law to make the point: speeding up one part of the workflow doesn’t dramatically change the total time unless everything else speeds up too. For example, if writing code takes 30 out of 100 total time units, and AI brings it down to 3, the total time still only drops to 73. That’s just a 27% improvement. More productivity doesn’t mean fewer engineers. It just increases the ROI of building tech. And when ROI goes up, companies are more likely to build—and hire more people to do it. Take JPMorgan Chase. They have 50,000+ engineers and a $17B software budget. If each engineer can ship more software, that doesn’t reduce headcount. It raises the cost of not building. Companies like Windsurf and Anthropic are hiring more engineers—not less—despite being at the edge of AI code generation.

Aish

27,268 просмотров • 1 год назад

WINTER said that she got her Driver’s License while they were promoting Lemonade after the first week, around the time they were performing at university festivals, before they filmed ‘Please Take Care of My Refrigerator’ Someone asked if she got a perfect score, she said she didn’t cause during the road test she got a point deducted as she did not turn her head fully to left and right She passed everything on the first try. When she took the written test she studied right away and just kept going one step after another and ended up getting her license really quickly

WINTER said that she got her Driver’s License while they were promoting Lemonade after the first week, around the time they were performing at university festivals, before they filmed ‘Please Take Care of My Refrigerator’ Someone asked if she got a perfect score, she said she didn’t cause during the road test she got a point deducted as she did not turn her head fully to left and right She passed everything on the first try. When she took the written test she studied right away and just kept going one step after another and ended up getting her license really quickly

Jazz

95,299 просмотров • 2 месяцев назад

"Every morning, I type '/today' into Claude Code and watch it generate my to-do list." Here's my new episode with Teresa Torres where she demos how she uses two Claude Code terminals and a note taking app (Obsidian) to run her entire life and business. We cover: ✅ Her 3-layer context system (global rules → project rules → reference files) ✅ Writing 9,000-word blog posts in 1.5 days with Claude Code as a thought partner ✅ How to set up a personal OS with Claude Code step by step Some quotes from Teresa: "Whenever you explain something to Claude, stop and ask—will I have to explain this again? Then capture it in a context file." "I wrote 9,000 words in 1.5 days. There's no way I would have done this myself." "You don't have to get here overnight. Every time you do a new task, just ask—how can Claude help with this?" 📌 Watch now:

"Every morning, I type '/today' into Claude Code and watch it generate my to-do list." Here's my new episode with Teresa Torres where she demos how she uses two Claude Code terminals and a note taking app (Obsidian) to run her entire life and business. We cover: ✅ Her 3-layer context system (global rules → project rules → reference files) ✅ Writing 9,000-word blog posts in 1.5 days with Claude Code as a thought partner ✅ How to set up a personal OS with Claude Code step by step Some quotes from Teresa: "Whenever you explain something to Claude, stop and ask—will I have to explain this again? Then capture it in a context file." "I wrote 9,000 words in 1.5 days. There's no way I would have done this myself." "You don't have to get here overnight. Every time you do a new task, just ask—how can Claude help with this?" 📌 Watch now:

Peter Yang

258,614 просмотров • 8 месяцев назад

Step-by-step instructions on how to build a RAG system using Oracle + Langchain. The time of the specialized vector store is over. Every major database management system now supports vectors. This is huge! It's one fewer system to worry about, and one fewer component to break. Oracle 26ai comes packed with AI-first features, and I decided to put a simple step-by-step guide on how to use it with Langchain. Check the attached video. You need a couple of things to follow along: 1. Create an Oracle 26ai database—you can do this for free online on the Oracle cloud. 2. Use the notebook linked below for the code. Here is a link to the GitHub Repository with the notebook: Thanks to the Oracle team for the collaboration on getting this video out and for hosting the notebook on their GitHub repository.

Step-by-step instructions on how to build a RAG system using Oracle + Langchain. The time of the specialized vector store is over. Every major database management system now supports vectors. This is huge! It's one fewer system to worry about, and one fewer component to break. Oracle 26ai comes packed with AI-first features, and I decided to put a simple step-by-step guide on how to use it with Langchain. Check the attached video. You need a couple of things to follow along: 1. Create an Oracle 26ai database—you can do this for free online on the Oracle cloud. 2. Use the notebook linked below for the code. Here is a link to the GitHub Repository with the notebook: Thanks to the Oracle team for the collaboration on getting this video out and for hosting the notebook on their GitHub repository.

Santiago

11,366 просмотров • 8 месяцев назад

An Italian American police officer in our community is under attack and needs our support. Sal Oldrati defended his own life at a crime scene in 2021 when he encountered a man with a “prop” gun. He was cleared of any wrong doing at the time as there is ZERO way any law enforcement officer could tell the difference in that split second. Now, radical leftists in New Jersey are charging this exemplary public servant with manslaughter to score political points. It’s a disgrace. JUSTICE FOR SAL!

An Italian American police officer in our community is under attack and needs our support. Sal Oldrati defended his own life at a crime scene in 2021 when he encountered a man with a “prop” gun. He was cleared of any wrong doing at the time as there is ZERO way any law enforcement officer could tell the difference in that split second. Now, radical leftists in New Jersey are charging this exemplary public servant with manslaughter to score political points. It’s a disgrace. JUSTICE FOR SAL!

The Italian American Civil Rights League

10,216 просмотров • 8 дней назад

designing my new personal site with connected it to Claude Code and turned on "Swarm Mode" and watched agents design my site in real-time, with their cursors actually moving and operating the screen, not just cosmetically! instead of the agents producing a raw HTML file, they generate something called .pen which is just a json file describing all layouts, components, and design. this means that it's easier than ever to have teams collaborate on design exactly as they do on source code (designers and engineers can now speak the same language!) once you are happy with a screen, you can open a new chat and reference .pen frame and start to generate the code (in React/ Next/ Tailwind etc), and run it on your dev server, producing a live website that visually matches your design

designing my new personal site with connected it to Claude Code and turned on "Swarm Mode" and watched agents design my site in real-time, with their cursors actually moving and operating the screen, not just cosmetically! instead of the agents producing a raw HTML file, they generate something called .pen which is just a json file describing all layouts, components, and design. this means that it's easier than ever to have teams collaborate on design exactly as they do on source code (designers and engineers can now speak the same language!) once you are happy with a screen, you can open a new chat and reference .pen frame and start to generate the code (in React/ Next/ Tailwind etc), and run it on your dev server, producing a live website that visually matches your design

Sandra

94,416 просмотров • 6 месяцев назад