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My vibe coding workflow has changed since I started using Cursor Plan + Opus 4.5 more extensively. Before: Break down tasks into micro-prompts with specific tasks Now: Write a longer feature scope > Plan mode: Ask for proposals > Review proposed plans > Build I'm able to build an... show more

Danny Limanseta

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78,362 views • 5 months ago •via X (Twitter)

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Scrum is a cancer. There's nothing more bureaucratic, dysfunctional, and slow than a team that just wants to build software, but they are being forced to do it using Scrum. If you are stuck with this, here is a recommendation that will change your life: Go to connect your email, GitHub account, and the software you use to manage projects, and build a workflow that will brief you before every standup. Dimension is pretty incredible. You can literally write a prompt and have Dimension build an agent that will do the work in the background for you. Example: "Go to Linear and GitHub and write a summary of the tasks I completed last week. Organize them based on priority and effort. Send me an email with the results." Schedule this workflow to run 10 minutes before your Scrum meetings, and you'll get an email right before you need it. You can have AI now do all sorts of tasks for you: 1. Brief you before a meeting 2. Reply or handle cold emails 3. Take care of support messages 4. Research tasks for you And all of this can happen unprompted, in the background. Really awesome job from the team behind Dimension! Thanks to them for supporting my work by collaborating with me on this post.

Scrum is a cancer. There's nothing more bureaucratic, dysfunctional, and slow than a team that just wants to build software, but they are being forced to do it using Scrum. If you are stuck with this, here is a recommendation that will change your life: Go to connect your email, GitHub account, and the software you use to manage projects, and build a workflow that will brief you before every standup. Dimension is pretty incredible. You can literally write a prompt and have Dimension build an agent that will do the work in the background for you. Example: "Go to Linear and GitHub and write a summary of the tasks I completed last week. Organize them based on priority and effort. Send me an email with the results." Schedule this workflow to run 10 minutes before your Scrum meetings, and you'll get an email right before you need it. You can have AI now do all sorts of tasks for you: 1. Brief you before a meeting 2. Reply or handle cold emails 3. Take care of support messages 4. Research tasks for you And all of this can happen unprompted, in the background. Really awesome job from the team behind Dimension! Thanks to them for supporting my work by collaborating with me on this post.

Santiago

56,218 views • 8 months ago

I got to try Grok 4.5 in early access in Cursor for the past few days and I absolutely enjoyed it. It feels like Opus 4.8 at 2x the speed at a much cheaper price point. I tasked it to brainstorm > plan > implement a big feature for my game (this act 1 boss fight) and it did not disappoint. - It is much smarter than Composer 2.5, during planning mode, it is able to think through my request more robustly, ensuring that edge cases are covered and makes sure to ask the right questions to confirm with me first. - It is much better at brainstorming ideas/suggestions, similar to Opus 4.8, though I think Fable still edges out a little when it comes to brainstorming ideas and suggestions - It is FAST. probably the fastest of all frontier models (Opus 4.8, GPT 5.5 etc), which makes it a joy to build with, because I can stay in the flow - It has much improved visual/animation capabilities than Composer 2.5, it can code up animations (i wanted an explosion animation with particle effects) with much, much better visuals, animation movement and timing. This is a big leap and I was so happy to see this improvement. - The best part for me is that I can just use the same model from planning down to execution without switching to a lower cost model because the price point is cheaper than other frontier models. I'll be testing this model with more challenging tasks in the next few days but I think this is going to be my main driver for vibe coding for a while. Also, its nice to see Grok back in the race. 🙌

I got to try Grok 4.5 in early access in Cursor for the past few days and I absolutely enjoyed it. It feels like Opus 4.8 at 2x the speed at a much cheaper price point. I tasked it to brainstorm > plan > implement a big feature for my game (this act 1 boss fight) and it did not disappoint. - It is much smarter than Composer 2.5, during planning mode, it is able to think through my request more robustly, ensuring that edge cases are covered and makes sure to ask the right questions to confirm with me first. - It is much better at brainstorming ideas/suggestions, similar to Opus 4.8, though I think Fable still edges out a little when it comes to brainstorming ideas and suggestions - It is FAST. probably the fastest of all frontier models (Opus 4.8, GPT 5.5 etc), which makes it a joy to build with, because I can stay in the flow - It has much improved visual/animation capabilities than Composer 2.5, it can code up animations (i wanted an explosion animation with particle effects) with much, much better visuals, animation movement and timing. This is a big leap and I was so happy to see this improvement. - The best part for me is that I can just use the same model from planning down to execution without switching to a lower cost model because the price point is cheaper than other frontier models. I'll be testing this model with more challenging tasks in the next few days but I think this is going to be my main driver for vibe coding for a while. Also, its nice to see Grok back in the race. 🙌

Danny Limanseta

1,397,565 views • 11 days ago

I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI

I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI

Stefan 3D AI

20,719 views • 18 days ago

Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”

Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”

sourcery

149,352 views • 6 months ago

Learn to build and deploy GenAI pipelines in "Orchestrating Workflows for GenAI Applications", built in partnership with Astronomer and taught by Kenten Danas, the company's DevRel Senior Manager, and Tamara Fingerlin, developer advocate. Many GenAI applications require executing a pipeline comprising many steps. For example, a RAG app for recommending books might ingest and embed book descriptions, store the embeddings in a vector database, and later use the database to retrieve and recommend specific books based on a user query. After having prototyped this -- maybe in a Jupyter notebook -- how do you turn this into a reliable, repeatable workflow to run in production? In this short course, you’ll learn to build reliable GenAI pipelines and orchestrate them using the popular open-source tool Airflow 3.0. You’ll learn to break down a workflow into discrete tasks so that an orchestration framework can schedule tasks to run in the right order at the right time (using time-based or data-aware triggers), and execute tasks in parallel when possible. It can also use retries to recover gracefully from failure (such as transient API rate limits) and provide observability (using Airflow UI) to help you track the status of the pipeline. You'll do this by using Airflow dags, which helps sequence tasks that need to run in a specific order, with clear task dependencies. By the end of this course, you’ll know how to turn your prototype Jupyter notebook or Python script into production-ready workflow. Please sign up here:

Learn to build and deploy GenAI pipelines in "Orchestrating Workflows for GenAI Applications", built in partnership with Astronomer and taught by Kenten Danas, the company's DevRel Senior Manager, and Tamara Fingerlin, developer advocate. Many GenAI applications require executing a pipeline comprising many steps. For example, a RAG app for recommending books might ingest and embed book descriptions, store the embeddings in a vector database, and later use the database to retrieve and recommend specific books based on a user query. After having prototyped this -- maybe in a Jupyter notebook -- how do you turn this into a reliable, repeatable workflow to run in production? In this short course, you’ll learn to build reliable GenAI pipelines and orchestrate them using the popular open-source tool Airflow 3.0. You’ll learn to break down a workflow into discrete tasks so that an orchestration framework can schedule tasks to run in the right order at the right time (using time-based or data-aware triggers), and execute tasks in parallel when possible. It can also use retries to recover gracefully from failure (such as transient API rate limits) and provide observability (using Airflow UI) to help you track the status of the pipeline. You'll do this by using Airflow dags, which helps sequence tasks that need to run in a specific order, with clear task dependencies. By the end of this course, you’ll know how to turn your prototype Jupyter notebook or Python script into production-ready workflow. Please sign up here:

Andrew Ng

73,600 views • 1 year ago

"Vibe coding is NOT the same as using AI to write code that's reviewed, tested, and maintained." Here's my new episode with Lee Robinson (Cursor's Head of AI Education) where he shows how to build AI apps properly using planning, test-driven development, agent workflows, and more. Some tips from Lee: 1. Work with AI to create a detailed technical plan upfront including requirements, design preferences, and your preferred tech stack. 2. Ask AI to write tests so that it can check its own work. Add this to the plan: "Write unit tests for business logic, e2e tests for core user journeys." 3. Add "make descriptive commits" to your initial plan so that you can track what AI changed and why. 📌 Watch our beginner-friendly tutorial now: Also available on: Spotify: Apple: Newsletter:

"Vibe coding is NOT the same as using AI to write code that's reviewed, tested, and maintained." Here's my new episode with Lee Robinson (Cursor's Head of AI Education) where he shows how to build AI apps properly using planning, test-driven development, agent workflows, and more. Some tips from Lee: 1. Work with AI to create a detailed technical plan upfront including requirements, design preferences, and your preferred tech stack. 2. Ask AI to write tests so that it can check its own work. Add this to the plan: "Write unit tests for business logic, e2e tests for core user journeys." 3. Add "make descriptive commits" to your initial plan so that you can track what AI changed and why. 📌 Watch our beginner-friendly tutorial now: Also available on: Spotify: Apple: Newsletter:

Peter Yang

108,418 views • 11 months ago

I've been spending more time with Bezi to see how far I can push vibe coding a game on the Unity Editor. So far, I'm pretty happy with what I can achieve with Bezi. Here are some learnings: - Even though I use Bezi to do all agentic coding, I still have to perform a few small manual tasks in the Unity Editor - As a result, I feel like I am getting a hang of Unity's complex and clunky UI, which actually feels good! - This is one of those examples where Vibe Coding is a great way to learn game dev. - For big features, I can't state the importance of asking the agent to create a plan first before implementing the feature. It can work wonders. Most of the bigger features/ssytems starts with a clear plan. - The biggest strength about working with Unity Engine is the Unity Asset Store, there's so much good stuff in there, 3D assets, shaders, vfx etc that can really spice up your game, that other game enginers will need to build from scratch. - Because Unity Assets Stores sell UI assets packs, I was able to implement decent looking UI fairly quickly. For those of you that vibe code games, you know how much of a pain it is to implement UI. - I did meet a few hiccups along the way where Bezi seems to struggle a little with implementing some features, but usually with some retries it works out at the end, though it burns a ton of tokens. After spending more time with Bezi, I'm still feeling good about using it. I am able to get this PvZ style autobattler working in a few days!

I've been spending more time with Bezi to see how far I can push vibe coding a game on the Unity Editor. So far, I'm pretty happy with what I can achieve with Bezi. Here are some learnings: - Even though I use Bezi to do all agentic coding, I still have to perform a few small manual tasks in the Unity Editor - As a result, I feel like I am getting a hang of Unity's complex and clunky UI, which actually feels good! - This is one of those examples where Vibe Coding is a great way to learn game dev. - For big features, I can't state the importance of asking the agent to create a plan first before implementing the feature. It can work wonders. Most of the bigger features/ssytems starts with a clear plan. - The biggest strength about working with Unity Engine is the Unity Asset Store, there's so much good stuff in there, 3D assets, shaders, vfx etc that can really spice up your game, that other game enginers will need to build from scratch. - Because Unity Assets Stores sell UI assets packs, I was able to implement decent looking UI fairly quickly. For those of you that vibe code games, you know how much of a pain it is to implement UI. - I did meet a few hiccups along the way where Bezi seems to struggle a little with implementing some features, but usually with some retries it works out at the end, though it burns a ton of tokens. After spending more time with Bezi, I'm still feeling good about using it. I am able to get this PvZ style autobattler working in a few days!

Danny Limanseta

13,395 views • 3 months ago

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon

Joey Primiani

470,774 views • 1 month ago

New short course: Vibe Coding 101 with Replit! Learn to build and host applications with an AI agent in this course, built in partnership with Replit ⠕ and taught by its President Michele Catasta and Head of Developer Relations . Coding agents are changing how we write code. "Vibe coding" refers to a growing practice where you might barely look at the generated code, and instead focus on the architecture and features of your application. However, contrary to popular belief, effectively coding this way isn't done by just prompting, accepting all recommendations, and hoping for the best. It requires structuring your work, refining your prompts, and having a systematic process that lead to a more efficient and effective workflow. I code frequently using LLMs, and asking an LLM to do everything in one shot usually does not work. I'll typically take a problem, partition it into manageable modules, spend time creating prompts to specify each module, and use the model to produce the code one module at a time, and test/debug each module before moving on. A process like this is making me and many other developers faster and more efficient. In this video-only course, you’ll learn how to use Replit’s cloud environment--with an integrated code editor, package manager, and deployment tools--to build and deploy web applications. Along the way, you’ll learn strategies for working effectively with agents and improve your development skills. In detail, you’ll: - Understand principles of agentic code development such as being precise, giving agents one task at a time, making prompts specific, keeping projects tidy, starting with fresh sessions for each new feature, and how to approach debugging. - Learn how to get started with Replit, and key skills for vibe coding: Thinking, using frameworks, checkpoints, debugging, and providing context. - Create a product requirement document (PRD) and wireframe for your agent to build a prototype of a website performance analyzer. - See how to use an agent to make your prototype more visually appealing, and deploy it application others to access . - Learn to build a head-to-head national park ranking app, from a sample dataset, with voting capabilities and persistent data storage, and refine further ask the assistant to recap and explain what it built to find room for improvement and reinforce your learning. By the end of this course, you’ll have a solid foundation in building with coding agents, and a process you can use to keep vibe coding effectively. Please sign up here:

New short course: Vibe Coding 101 with Replit! Learn to build and host applications with an AI agent in this course, built in partnership with Replit ⠕ and taught by its President Michele Catasta and Head of Developer Relations . Coding agents are changing how we write code. "Vibe coding" refers to a growing practice where you might barely look at the generated code, and instead focus on the architecture and features of your application. However, contrary to popular belief, effectively coding this way isn't done by just prompting, accepting all recommendations, and hoping for the best. It requires structuring your work, refining your prompts, and having a systematic process that lead to a more efficient and effective workflow. I code frequently using LLMs, and asking an LLM to do everything in one shot usually does not work. I'll typically take a problem, partition it into manageable modules, spend time creating prompts to specify each module, and use the model to produce the code one module at a time, and test/debug each module before moving on. A process like this is making me and many other developers faster and more efficient. In this video-only course, you’ll learn how to use Replit’s cloud environment--with an integrated code editor, package manager, and deployment tools--to build and deploy web applications. Along the way, you’ll learn strategies for working effectively with agents and improve your development skills. In detail, you’ll: - Understand principles of agentic code development such as being precise, giving agents one task at a time, making prompts specific, keeping projects tidy, starting with fresh sessions for each new feature, and how to approach debugging. - Learn how to get started with Replit, and key skills for vibe coding: Thinking, using frameworks, checkpoints, debugging, and providing context. - Create a product requirement document (PRD) and wireframe for your agent to build a prototype of a website performance analyzer. - See how to use an agent to make your prototype more visually appealing, and deploy it application others to access . - Learn to build a head-to-head national park ranking app, from a sample dataset, with voting capabilities and persistent data storage, and refine further ask the assistant to recap and explain what it built to find room for improvement and reinforce your learning. By the end of this course, you’ll have a solid foundation in building with coding agents, and a process you can use to keep vibe coding effectively. Please sign up here:

Andrew Ng

752,508 views • 1 year ago

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.

andrei saioc

14,422 views • 1 year ago

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,529 views • 5 months ago

If I lost everything and needed to make $5k-$10k per month with AI starting today here's what I would do: 1) Go to Fiverr and find manual tasks people are charging decent money for. I had one in mind - Keyword Research. I looked at 5-star reviews of Fiverr Pros and found a few profiles that are charing $100-$200+ for this job 2) Go to Manus/o3/Gemini 2.5 (I used Gemini here) and build out a roadmap to create an app using Replit/Bolt. etc. to automate high quality keyword research. BONUS: buy the service from Fiverr, load it into your LLM and ask it to identify where the output is falling short and how it can be improved. 3) Take the roadmap and go to my coding tool. I'm using Replit here. I spent around an hour vibe coding this while Greg is recording podcast episodes here in SF. Demo attached. Get the relevant API keys, do some QA testing, let some folks try it for free and give you feedback. 4) Have Manus, etc. crawl the profiles of top rated Fiverr pros (can also do Upwork, or others) and build a step by step guide to create an optimized profile to attract high quality clients for my service. Use 4o for a profile pic, Claude to write my description. 5) Include photos of my output. Say I have a proprietary custom workflow that allows me to do it faster and higher quality. 1-2 hour turnaround. 6) Keep iterating my workflow/internal tool based on feedback from customers, attack other marketplaces where there is clear demand, partner with agencies, build in public...lots of growth opportunities. 7) Keep productizing. Why not turn it into a micro-saas...validated, clear demand, paying customers. I think this might be the fastest way to financial freedom with AI. Who's doing this?

The Boring Marketer

139,400 views • 1 year ago

If you’re not using AI to build apps, you’re not going to make it The real question isn’t “Should I use AI?” It’s: → which model → and how you use it Using + Opus 4.5, I’ve been building Flow State with just a few prompts Almost ready for App Store approval Update #3 below Built entirely on my iPhone from a hot tub in Miami And every time I got distracted, Rork pulled me back with a notification Building has changed forever Don’t be like those business that never adapted to the internet and were forced to close their doors

If you’re not using AI to build apps, you’re not going to make it The real question isn’t “Should I use AI?” It’s: → which model → and how you use it Using + Opus 4.5, I’ve been building Flow State with just a few prompts Almost ready for App Store approval Update #3 below Built entirely on my iPhone from a hot tub in Miami And every time I got distracted, Rork pulled me back with a notification Building has changed forever Don’t be like those business that never adapted to the internet and were forced to close their doors

Jah Jiren

31,802 views • 6 months ago

I've spent the last 4 days with Claude Opus vibe coding an Elder Scrolls style open world RPG, and I'm quite pleased with the progress we've made. We have several towns, about a hundred NPCs, 50+ dungeons, a bounty board, several schools of magic, over a dozen playable classes, a cool specialization/progression system, and a fat lore book ready to turn into the game. This is a very ambitious first project - I am a web developer, not a game developer. Hardest things to do are graphics, level design and sound effects. I'm focusing entirely on procedural generation using a dependency graph system where, for instance, the town positions depend on the terrain map. The roads depend on the terrain and rivers. NPC locations depend on town layouts. Quests depend on lore. Etc. So I can "re-generate" the entire world from a different seed procedurally. It's a good strategy for prototyping. Once I get 80% of the way there with procedural I'll start pinning things and sharpening them with "pseudo-procedural" generation (gen AI based refinements) and then finally human made refinements. This is the way I've always developed things, so it's a fun experiment and it's working great!

I've spent the last 4 days with Claude Opus vibe coding an Elder Scrolls style open world RPG, and I'm quite pleased with the progress we've made. We have several towns, about a hundred NPCs, 50+ dungeons, a bounty board, several schools of magic, over a dozen playable classes, a cool specialization/progression system, and a fat lore book ready to turn into the game. This is a very ambitious first project - I am a web developer, not a game developer. Hardest things to do are graphics, level design and sound effects. I'm focusing entirely on procedural generation using a dependency graph system where, for instance, the town positions depend on the terrain map. The roads depend on the terrain and rivers. NPC locations depend on town layouts. Quests depend on lore. Etc. So I can "re-generate" the entire world from a different seed procedurally. It's a good strategy for prototyping. Once I get 80% of the way there with procedural I'll start pinning things and sharpening them with "pseudo-procedural" generation (gen AI based refinements) and then finally human made refinements. This is the way I've always developed things, so it's a fun experiment and it's working great!

Chubigans

22,629 views • 27 days ago

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!

Andrew Ng

635,675 views • 6 months ago

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!

Danny Limanseta

48,991 views • 4 months ago

Your Plan SUCKS! 👀 Inspired by the legend Andrej Karpathy himself, I created a new skill: LLM Council. Create better plans, by committee. Supports: > Codex CLI > Gemini CLI > Claude Code > OpenCode Call the skill with your feature that you'd like to build. It will ask you some clarifying question, and then launch up to four parallel planning agents to create a detailed plan. Once the plans are in, all plans are anonymized and the "The Judge" will critique and choose the best plan *OR* the best parts from all of them. Finally, it will output a final-plan, which you can review and refine. I even created a nice UI for you to review and refine your plans. This Skill has been tested on Linux only, but should work on other platforms. Please report any bugs! Links in the comments.

Your Plan SUCKS! 👀 Inspired by the legend Andrej Karpathy himself, I created a new skill: LLM Council. Create better plans, by committee. Supports: > Codex CLI > Gemini CLI > Claude Code > OpenCode Call the skill with your feature that you'd like to build. It will ask you some clarifying question, and then launch up to four parallel planning agents to create a detailed plan. Once the plans are in, all plans are anonymized and the "The Judge" will critique and choose the best plan OR the best parts from all of them. Finally, it will output a final-plan, which you can review and refine. I even created a nice UI for you to review and refine your plans. This Skill has been tested on Linux only, but should work on other platforms. Please report any bugs! Links in the comments.

am.will

69,010 views • 5 months ago

BREAKING NEWS: Anthropic just dropped Claude Ops 4.5!! It is by FAR the best coding model I've ever used. We've been testing it internally Every 📧 for the last few days, and it is an absolute paradigm shift for any kind of coding task. It extends the horizon of what you can vibe code The current generation of new models—Anthropic’s Sonnet 4.5, Google’s Gemini 3, or OpenAI’s Codex Max 5.1—can all competently build a minimum viable product in one shot, or fix a highly technical bug autonomously. But eventually, if you kept pushing them to vibe code more, they’d start to trip over their own feet: The code would be convoluted and contradictory, and you’d get stuck in endless bugs. We have not found that limit yet with Opus 4.5—it seems to be able to vibe code forever. Takes working in parallel to a whole new level because it's far better at planning and coding, it can work with more autonomy—meaning you can do more in parallel without breaking anything . Kieran Klaassen worked on 11 different projects in six hours—and had good results on all of them. Great at design iteration Opus 4.5 is incredibly skilled at iterating through a design autonomously using an MCP like Playwright. previous models would lose the thread after a few cycles, or say a design was done when it wasn't. Opus 4.5 is incredible at autonomously iterating until a design is pixel perfect. we have a full 4,000 word vibe check on Every 📧 right now with everything we tested:

BREAKING NEWS: Anthropic just dropped Claude Ops 4.5!! It is by FAR the best coding model I've ever used. We've been testing it internally Every 📧 for the last few days, and it is an absolute paradigm shift for any kind of coding task. It extends the horizon of what you can vibe code The current generation of new models—Anthropic’s Sonnet 4.5, Google’s Gemini 3, or OpenAI’s Codex Max 5.1—can all competently build a minimum viable product in one shot, or fix a highly technical bug autonomously. But eventually, if you kept pushing them to vibe code more, they’d start to trip over their own feet: The code would be convoluted and contradictory, and you’d get stuck in endless bugs. We have not found that limit yet with Opus 4.5—it seems to be able to vibe code forever. Takes working in parallel to a whole new level because it's far better at planning and coding, it can work with more autonomy—meaning you can do more in parallel without breaking anything . Kieran Klaassen worked on 11 different projects in six hours—and had good results on all of them. Great at design iteration Opus 4.5 is incredibly skilled at iterating through a design autonomously using an MCP like Playwright. previous models would lose the thread after a few cycles, or say a design was done when it wasn't. Opus 4.5 is incredible at autonomously iterating until a design is pixel perfect. we have a full 4,000 word vibe check on Every 📧 right now with everything we tested:

Dan Shipper 📧

272,699 views • 7 months ago

Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!

Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!

Sumanth

10,483 views • 4 months ago