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"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...

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Peter Yang

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108,315 views • 9 months ago •via X (Twitter)

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Unit tests are essential, but it takes time to write them. Speed up your coding and boost productivity by letting AI Assistant write unit tests for you in #IntelliJIDEA! 🖱️ Right-click a method and choose “AI Actions | Generate Unit Tests” from the context menu. Select “Accept All” if you’re happy with the generated tests, “Specify” to add an additional prompt, or “Regenerate” to try again. #IntelliJIDEATips
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Unit tests are essential, but it takes time to write them. Speed up your coding and boost productivity by letting AI Assistant write unit tests for you in #IntelliJIDEA! 🖱️ Right-click a method and choose “AI Actions | Generate Unit Tests” from the context menu. Select “Accept All” if you’re happy with the generated tests, “Specify” to add an additional prompt, or “Regenerate” to try again. #IntelliJIDEATips

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New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!
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New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

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290,815 views • 6 months ago

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Tired of writing unit tests? 😴 Watch GitHub Copilot write an entire test suite from a single command. Reclaim your time by using AI for more tedious tasks. 💡 Here's how. ⬇️

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"To build a great company, you need to write code and talk to users." - Florian Juengermann (co-founder of Listen Labs) "AI agents can now write code, so what becomes important is building the right thing and having the right feedback." "That's what we are building: telling the AI what to do, what to build, and being the tastemaker."

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🚨 BREAKING - AI CREATES COMPLEX END TO END SOFTWARE AI has graduated from a vibe-coding to buildin an ENTIRE SOFTWARE SYSTEM. You can now collaborate with team members to build - full stack apps with databases - scheduled cron jobs on your data - multiple apps (admin dashboards) on your DB - set up automated testing - store skills and rules for Abacus AI DeepAgent - collaborate with team members Abacus AI Deep Agent can now do it all - design, create, deploy, test and monitor complex software systems
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🚨 BREAKING - AI CREATES COMPLEX END TO END SOFTWARE AI has graduated from a vibe-coding to buildin an ENTIRE SOFTWARE SYSTEM. You can now collaborate with team members to build - full stack apps with databases - scheduled cron jobs on your data - multiple apps (admin dashboards) on your DB - set up automated testing - store skills and rules for Abacus AI DeepAgent - collaborate with team members Abacus AI Deep Agent can now do it all - design, create, deploy, test and monitor complex software systems

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Everyone's using AI to write scripts. That's the wrong end of the pipeline. YOUR story is the only thing AI can't replace. So write it yourself, then let AI do the expensive part AnyFilm turns your screenplay into a full production. AI shouldn't write your film, It should MAKE it

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513,940 views • 4 days ago

"AI gets you to average quickly. Your job is to push past that." Here's my new episode with Dylan Field (Figma CEO) where I asked him some tough questions, including: → Can you teach AI design taste? → Do design systems hurt creativity? → What's Figma's role when code is free? Two-thirds of Figma users are now non-designers and it was super interesting to hear Dylan talk about Figma's future. Some quotes from Dylan: "Design is the new code. You'll be designing in a visual-first way before pushing a pull request right to production." "If you're a PM and you think your job is to make docs and slide decks, you're going to love this new world. You get to make things too." "If everyone agrees with your point of view, then you probably don't have one." 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams
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"AI gets you to average quickly. Your job is to push past that." Here's my new episode with Dylan Field (Figma CEO) where I asked him some tough questions, including: → Can you teach AI design taste? → Do design systems hurt creativity? → What's Figma's role when code is free? Two-thirds of Figma users are now non-designers and it was super interesting to hear Dylan talk about Figma's future. Some quotes from Dylan: "Design is the new code. You'll be designing in a visual-first way before pushing a pull request right to production." "If you're a PM and you think your job is to make docs and slide decks, you're going to love this new world. You get to make things too." "If everyone agrees with your point of view, then you probably don't have one." 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams

Peter Yang

103,627 views • 1 month ago

Earlier today we released local development for Kaggle Benchmarks. 🚀 You can now write, validate and run AI evaluation tasks directly from your preferred dev environment — VSCode, Antigravity, Claude Code, and more. Go from idea to working eval using natural language with the write-kaggle-benchmarks skill.
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Earlier today we released local development for Kaggle Benchmarks. 🚀 You can now write, validate and run AI evaluation tasks directly from your preferred dev environment — VSCode, Antigravity, Claude Code, and more. Go from idea to working eval using natural language with the write-kaggle-benchmarks skill.

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15,843 views • 3 days ago

Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️
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Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️

Swami Sivasubramanian

154,343 views • 10 months ago

People always argue that AI writes terrible code & breaks in a real, large codebase. Well, episode 14 of How I AI will show you how AI can write high quality, production code for engineering teams of 100+ My pal Zach is an eng leader at LaunchDarkly and went from an AI sceptic to driving AI adoption in 6 months. In this ep he shows: 📑 how to structure docs in your repo so you DRY to your AI agents ✅ use AI to burn down tech debt 🙊 use ChatGPT to help you be a less conflict avoidant manager This ep is the “big company” sequel to Ryan Carson’s structured vibe coding ep and not one to miss. Big thanks to our sponsors: 🎩 WorkOS – Make your app enterprise-ready today 🛠️ Maven 🏛 – hands on AI education curated by Lenny Rachitsky and me!
0:59

People always argue that AI writes terrible code & breaks in a real, large codebase. Well, episode 14 of How I AI will show you how AI can write high quality, production code for engineering teams of 100+ My pal Zach is an eng leader at LaunchDarkly and went from an AI sceptic to driving AI adoption in 6 months. In this ep he shows: 📑 how to structure docs in your repo so you DRY to your AI agents ✅ use AI to burn down tech debt 🙊 use ChatGPT to help you be a less conflict avoidant manager This ep is the “big company” sequel to Ryan Carson’s structured vibe coding ep and not one to miss. Big thanks to our sponsors: 🎩 WorkOS – Make your app enterprise-ready today 🛠️ Maven 🏛 – hands on AI education curated by Lenny Rachitsky and me!

claire vo 🖤

82,181 views • 10 months ago

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.
0:35

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 views • 1 year ago