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I gave Agnes 2.5 Flash a simple prompt: “Refactor this function, explain the logic, and log the summary straight to Notion.” In just a few moments, it delivered: ✅ Cleaner, more efficient code ✅ Clear step-by-step explanation of the logic ✅ A ready-to-paste summary for Notion ✅ Organized files...

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28,653 views • 2 days ago •via X (Twitter)

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Tested the updated Agnes 2.5-Flash inside Agnes Code on a real Python bug. Through it's multi-reasoning and tool calling, it inspected my local file, found the issue, applied the fix, and verified the result, all from one desktop workspace. If you're looking for an ultra-fast model reasoning in your dev setup, check out Agnes 2.5 Flash inside Agnes Code and bring AI into your desktop workflow. Try Agnes Code: Explore Agnes AI: Join the Agnes AI global developer community: Agnes AI #AgnesAI #AgnesCode #BuildWithAgnes #AIforDevs #DeveloperAPI #AgenticAI #MultimodalAI

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most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity
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most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

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Alif Khan

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I built a fully functional app in minutes — without writing a single line of code. With Replit, I just described what I wanted in plain English, and the app came to life almost instantly. My AI tool now takes care of: ✅ Data handling ✅ AI-powered logic ✅ Clean, usable UI Start building here: And it’s not limited to content tools. With a single prompt, you can spin up things like a unit converter with inputs, selectors, instant results, copy actions, and history — fully working in minutes. Why I’m a fan of Replit: 🚀 Build by describing, then iterate fast. 🚀 300+ AI models in one place. 🚀 Build, collaborate, and ship from one platform. 🚀 Integrates with Drive, Dropbox, Notion, Slack 🚀 Works seamlessly on desktop and mobile No setup. No code. Just ideas → real apps.
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Tired of switching between 10 apps just to finish one project? Meet Pokee AI — the AI agent that doesn’t just suggest, it executes. ✅ It plans your workflow from start to finish ✅ Chooses the right tools for every step ✅ Handles docs, posts, emails, code, reports, and analytics — across Google, Slack, X, YouTube, Amazon, ClickUp, GitHub & more Need a social post? Pokee AI generates content, designs images, and schedules it. Need a report? Pokee pulls data, analyzes it, and delivers insights. Need code? Pokee writes and refines it — no switching tabs. 🚀 One AI, endless tasks — automated. 👉 Public beta is live →
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Tired of switching between 10 apps just to finish one project? Meet Pokee AI — the AI agent that doesn’t just suggest, it executes. ✅ It plans your workflow from start to finish ✅ Chooses the right tools for every step ✅ Handles docs, posts, emails, code, reports, and analytics — across Google, Slack, X, YouTube, Amazon, ClickUp, GitHub & more Need a social post? Pokee AI generates content, designs images, and schedules it. Need a report? Pokee pulls data, analyzes it, and delivers insights. Need code? Pokee writes and refines it — no switching tabs. 🚀 One AI, endless tasks — automated. 👉 Public beta is live →

Arsalan

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prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding
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prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

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Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:
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Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Markandey Sharma

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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

20,994 views • 1 month ago

One prompt. One model. A complete fitness app in seconds. 🔥 I tested the new StepFun Step 3.7 Flash and gave it this prompt: "Build a beautiful single HTML fitness tracker app using Tailwind CSS, Chart.js, and Font Awesome. Dark modern theme. 4 tabs Dashboard, Workouts, Diet, Progress. Weekly charts, clickable workout images (Chest/Legs/Back/Full Body), detailed logging, meal tracking with calories & protein, and localStorage." The result? It instantly created a professional-grade Fitness Hub fully working on the first try. ✅ Live stats & weekly progress chart ✅ Clickable workout category images ✅ Add workouts (sets, reps, weight) + delete ✅ Diet logging with meal history ✅ Smooth tabs, animations, and everything saves automatically Opened the single HTML file… and it just worked perfectly. This isn’t just code generation. This is production-ready agent behavior. Step 3.7 Flash is built differently. Who else is trying it? Drop your results 👇 #StepFun #AI #Fitness #OneShotCoding StepFun
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One prompt. One model. A complete fitness app in seconds. 🔥 I tested the new StepFun Step 3.7 Flash and gave it this prompt: "Build a beautiful single HTML fitness tracker app using Tailwind CSS, Chart.js, and Font Awesome. Dark modern theme. 4 tabs Dashboard, Workouts, Diet, Progress. Weekly charts, clickable workout images (Chest/Legs/Back/Full Body), detailed logging, meal tracking with calories & protein, and localStorage." The result? It instantly created a professional-grade Fitness Hub fully working on the first try. ✅ Live stats & weekly progress chart ✅ Clickable workout category images ✅ Add workouts (sets, reps, weight) + delete ✅ Diet logging with meal history ✅ Smooth tabs, animations, and everything saves automatically Opened the single HTML file… and it just worked perfectly. This isn’t just code generation. This is production-ready agent behavior. Step 3.7 Flash is built differently. Who else is trying it? Drop your results 👇 #StepFun #AI #Fitness #OneShotCoding StepFun

Md Riyazuddin

21,319 views • 1 month ago

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
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I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,850 views • 1 year ago

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:
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Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Santiago

296,570 views • 10 months ago

Today, I'm excited to launch Entelligence AI DeepReviews, the next generation AI-powered code reviews. Vibe coded PRs are not production ready often creating more subtle bugs throughout the codebase than before. Entelligence fixes this by understanding the entire codebase and flags bugs, regressions, and breakages across files before you ship. But it goes beyond review comments: ✅ Auto-generated docs with architecture diagrams ✅ Team Insights to improve process, not just code ✅ Real time code reviews within your editor If you're building or leading a dev team, this is what smarter, context-aware reviews look like. Try it out in the link below 👇
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Today, I'm excited to launch Entelligence AI DeepReviews, the next generation AI-powered code reviews. Vibe coded PRs are not production ready often creating more subtle bugs throughout the codebase than before. Entelligence fixes this by understanding the entire codebase and flags bugs, regressions, and breakages across files before you ship. But it goes beyond review comments: ✅ Auto-generated docs with architecture diagrams ✅ Team Insights to improve process, not just code ✅ Real time code reviews within your editor If you're building or leading a dev team, this is what smarter, context-aware reviews look like. Try it out in the link below 👇

Aiswarya Sankar

95,962 views • 1 year ago

Still relying on AI tools that can’t turn your ideas into real, working apps? Most can write code snippets but fall apart when it’s time to actually build something complete. That’s where Replit ⠕ changes everything. I simply asked it: “Build a responsive calculator app with a clean UI in light/dark mode.” Within minutes, it built the entire app with a beautiful UI, logic, light/dark mode, animations, and full responsiveness. Literally no setup. No debugging headache. Just vibe coding. Here’s why Replit stands out 👇 ✅ Build in Plain English: Just describe what you want and Replit turns it into a production-ready app. ✅ All-in-One Platform: Code, AI help, hosting, auth, and database, everything you need, already built in. ✅ Vibe Code Anywhere: Build on the go with the Replit mobile app for iOS & Android. ✅ Connected Ecosystem: Integrate with tools you already use like Notion, Slack, Google Drive, Dropbox, and more. ✅ Design to Live App: Import directly from Figma and bring your ideas to life in minutes. No micromanaging. No chaos. Just you, your idea, and Replit doing the heavy lifting. 👉 Try it now: 🎁 Get $10 credit when you purchase Replit Core via my referral link. → #Replit #VibeCoding #AIApps #NoCode #BuildWithReplit #AItools #ReplitCore
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Still relying on AI tools that can’t turn your ideas into real, working apps? Most can write code snippets but fall apart when it’s time to actually build something complete. That’s where Replit ⠕ changes everything. I simply asked it: “Build a responsive calculator app with a clean UI in light/dark mode.” Within minutes, it built the entire app with a beautiful UI, logic, light/dark mode, animations, and full responsiveness. Literally no setup. No debugging headache. Just vibe coding. Here’s why Replit stands out 👇 ✅ Build in Plain English: Just describe what you want and Replit turns it into a production-ready app. ✅ All-in-One Platform: Code, AI help, hosting, auth, and database, everything you need, already built in. ✅ Vibe Code Anywhere: Build on the go with the Replit mobile app for iOS & Android. ✅ Connected Ecosystem: Integrate with tools you already use like Notion, Slack, Google Drive, Dropbox, and more. ✅ Design to Live App: Import directly from Figma and bring your ideas to life in minutes. No micromanaging. No chaos. Just you, your idea, and Replit doing the heavy lifting. 👉 Try it now: 🎁 Get $10 credit when you purchase Replit Core via my referral link. → #Replit #VibeCoding #AIApps #NoCode #BuildWithReplit #AItools #ReplitCore

Manish Kumar Shah

52,314 views • 9 months ago

The world's most powerful AI app builder just became FREE. Firebase Studio now runs on Gemini 2.5 Pro, and it's a game-changer. Key advantages I discovered: • One-shot app creation ✅ • No-code required ✅ • Better than paid tools like Bolt & Lovable ✅ • Real functionality vs dummy data ✅ • Clean UI with customization options ✅ Save this video, it will give you an unfair advantage in building apps fast. 💨 Want the SOP? DM me.
21:36

The world's most powerful AI app builder just became FREE. Firebase Studio now runs on Gemini 2.5 Pro, and it's a game-changer. Key advantages I discovered: • One-shot app creation ✅ • No-code required ✅ • Better than paid tools like Bolt & Lovable ✅ • Real functionality vs dummy data ✅ • Clean UI with customization options ✅ Save this video, it will give you an unfair advantage in building apps fast. 💨 Want the SOP? DM me.

Julian Goldie SEO

121,242 views • 1 year ago

A new short course, Claude Code: A Highly Agentic Coding Assistant, is live! Claude Code is currently one of the most capable coding assistants. It can explore your codebase, plan features, write tests, refactor code, and even collaborate across multiple sessions—with surprisingly minimal input. In this course, you’ll learn how to guide Claude Code effectively: from setting up context and memory to integrating with GitHub and MCP servers. You’ll use it to extend a RAG chatbot, refactor a Jupyter notebook for e-commerce data analysis, build a web app from a Figma design, and more. Taught by Elie Schoppik (Elie Schoppik) and built in collaboration with Anthropic, this course is a must for AI builders. 👉 Enroll now:
2:37

A new short course, Claude Code: A Highly Agentic Coding Assistant, is live! Claude Code is currently one of the most capable coding assistants. It can explore your codebase, plan features, write tests, refactor code, and even collaborate across multiple sessions—with surprisingly minimal input. In this course, you’ll learn how to guide Claude Code effectively: from setting up context and memory to integrating with GitHub and MCP servers. You’ll use it to extend a RAG chatbot, refactor a Jupyter notebook for e-commerce data analysis, build a web app from a Figma design, and more. Taught by Elie Schoppik (Elie Schoppik) and built in collaboration with Anthropic, this course is a must for AI builders. 👉 Enroll now:

DeepLearning.AI

32,513 views • 1 year ago

Content creation just leveled up with AI agents. I just tested Superagent by Airtable, and it’s insane… Instead of doing research + planning + writing manually, you can run multiple AI agents at the same time and get a complete Super Report at the end. What surprised me the most: ✅ Agents work in parallel (faster and more organized) ✅ The report is interactive and easy to explore ✅ It includes cited sources, so it’s actually reliable ✅ You can even generate outputs like docs / slides / websites It feels like having a full strategy team… on demand. Get 2 FREE months of Superagent using the code: ADAM2FREE → #SuperagentPartner #ad #SuperagentbyAirtable Airtable Superagent
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Content creation just leveled up with AI agents. I just tested Superagent by Airtable, and it’s insane… Instead of doing research + planning + writing manually, you can run multiple AI agents at the same time and get a complete Super Report at the end. What surprised me the most: ✅ Agents work in parallel (faster and more organized) ✅ The report is interactive and easy to explore ✅ It includes cited sources, so it’s actually reliable ✅ You can even generate outputs like docs / slides / websites It feels like having a full strategy team… on demand. Get 2 FREE months of Superagent using the code: ADAM2FREE → #SuperagentPartner #ad #SuperagentbyAirtable Airtable Superagent

Adam

17,913 views • 6 months ago

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself
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This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself

AI Frontliner

70,013 views • 8 months ago

😎Just created My website using DAPPOS xBubble Ai 💥Update on xBubble 🆕Code option went live recently 🤔Other AI agents give u code to build website as per prompt 🤷Writing the code is no longer the hard part, Launching it is 🫠But getting that app live need u to hosting, deploying, API integration etc.. 💡But xBubble changes it ✅Just give prompt, it will deploy & give u ready website ❌No developer required 👇Steps 🔗 ✅Sign up with wallet ✅U need credits to use AI ✅Describe what kind of website u want to build ✅Select "code" from drop down ✅Sent ✅It will take sometime & give a ready website 😁It created my website in just 21min 😃Team gave me link to claim free credits for our community members 🔗 ✅Enter same wallet & ur x id ✅Complete quick quiz ✅Claim free 500 credits ✅Go back to xBubble ✅Start using it 🤏Each link has limited credit, claim before it's gone 🔗 😉2nd link for more credits 💥Done 📸Post ur xBubble work screenshots below 💙Like 🔁RT
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😎Just created My website using DAPPOS xBubble Ai 💥Update on xBubble 🆕Code option went live recently 🤔Other AI agents give u code to build website as per prompt 🤷Writing the code is no longer the hard part, Launching it is 🫠But getting that app live need u to hosting, deploying, API integration etc.. 💡But xBubble changes it ✅Just give prompt, it will deploy & give u ready website ❌No developer required 👇Steps 🔗 ✅Sign up with wallet ✅U need credits to use AI ✅Describe what kind of website u want to build ✅Select "code" from drop down ✅Sent ✅It will take sometime & give a ready website 😁It created my website in just 21min 😃Team gave me link to claim free credits for our community members 🔗 ✅Enter same wallet & ur x id ✅Complete quick quiz ✅Claim free 500 credits ✅Go back to xBubble ✅Start using it 🤏Each link has limited credit, claim before it's gone 🔗 😉2nd link for more credits 💥Done 📸Post ur xBubble work screenshots below 💙Like 🔁RT

CryptoTelugu

40,458 views • 28 days ago