AI Studio app building and vibe coding
Prompt-to-app workflows for generating full-stack web apps, prototypes, multiplayer experiences, backend services, Firebase integrations, deployment, and iterative UI building.
24%
Best tweets about Google AI Studio
50 Best Tweets About Google AI Studio (2026)
Discover the best tweets about Google AI Studio, covering Gemini API prototypes, prompting, structured output, model testing, and developer workflows.
Hands-on Google AI Studio and Gemini API workflows, features, prototypes, evaluations, limitations, and developer results.
- Creators
- 39
- Updated
Original Xholic analysis
What 50 top Google AI Studio posts reveal
Across 50 posts, discussion is predominantly supportive (78%) and centers on AI Studio app building/vibe coding (24%), Gemini API agents and tools (20%), and developer workflows (18%). Media appears in 38 posts (76%) and has a higher median all-time score than text-only posts (18.88 versus 2.66).
- Dominant tone
- Positive
- Median score
- 15.4
- Leading format
- Announcement
- Recent posts
- 22%
76% of posts
All-time engagement
54% of posts
Published in 90 days
Conversation map
The themes creators return to
Gemini API agents and tool use
Managed Agents, remote sandboxes, persistent state, scheduling, environment controls, function calling, custom tools, MCP, and delegated agent workflows.
20%
Gemini API development workflows
Developer implementation topics including SDKs, API keys, OpenAI compatibility, skills libraries, API specifications, file search/RAG, multimodal retrieval, and external integrations.
18%
UI design, visual quality, and prototyping
AI Studio for polished interface generation, design selection, Stitch-to-AI-Studio workflows, Figma handoff, visual iteration, and avoiding generic vibe-coded design.
18%
Voice, speech, and music generation
Gemini Flash TTS, audio tags and expressive voice direction, speech playground workflows, Live API real-time voice capabilities, and Lyria music generation.
14%
Model releases, performance, and evaluations
Gemini, Gemma, and Flash model launches; benchmark claims; coding and reasoning quality; model comparisons; context and API-spec evaluation findings.
12%
API access, limits, and cost controls
Free-tier access, rate limits, usage tiers, spend caps, prepaid credits, billing behavior, and changing AI Studio or Gemini API availability limits.
8%
Native Android app generation
Building, testing, exporting, and publishing native Android projects from prompts in AI Studio, including APKs, browser emulation, Kotlin, Jetpack Compose, and MVVM.
6%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 80
- Median reposts
- 6
- Median replies
- 8
- Median views
- 6.8K
Posts with media make up 76% of this collection. Their median all-time score is 18.9, compared with 2.66 for text-only posts.
Format mix
- Announcement 54% · score 16.9
- Case Study 22% · score 8.43
- Tutorial 14% · score 20.9
- Opinion 10% · score 1.64
Consensus and debate
Where creators agree, and where they do not
Shared view
Prompt-to-app building is a prominent workflow
Posts describe AI Studio as a prompt-led route to app prototypes and full-stack projects. Reported workflows include Firebase integration, private-by-default apps, UI feedback, and publishing; examples range from multiplayer-oriented apps to a multi-page learning platform.
Shared view
Voice posts emphasize directable output
Launch and hands-on posts describe Gemini 3.1 Flash TTS as available in AI Studio and the Gemini API, with audio tags used to direct delivery such as whispers or shouting. The launch post also states support for 70 languages.
Shared view
Agent-tooling posts focus on managed execution
Posts about the Gemini API describe Managed Agents as providing a remote Linux environment for custom instructions, skills, and tools. Other posts describe combining Search, Maps, and custom tools in a prompt.
Shared view
AI Studio appears within broader development workflows
Hands-on accounts place AI Studio alongside GitHub, VS Code, Vercel, Figma, Cursor, and Claude for local iteration, deployment, design refinement, and code changes.
Open debate
Fast prototypes do not necessarily yield distinctive design
One workflow recommends using AI Studio for a functional first pass and then rebuilding from deliberate Figma design work, arguing that many generated apps share generic conventions. Other posts characterize AI Studio’s UI output as clean or notably better than direct prompting.
Open debate
Access is described as both free and constrained
One post claims zero-cost API access and lists example developer limits. Another asks whether a reported change in Gemini 3.1 Pro refresh timing signals stronger separation between hobbyist and higher-tier access. These are user and commentator characterizations rather than independently verified pricing policy.
Open debate
More context did not improve one API-spec evaluation
A Gemini API developer reports that, in its evaluation, removing a 72k-token API specification made most models only marginally worse. This is a single reported evaluation, not a general result for API documentation or context length.
What performs
Patterns behind standout posts
App-building posts include leading score outliers
The highest supplied all-time score is 1384.51 for an AI Studio app-builder design post. Native Android generation (1105.4) and a full-stack vibe-coding announcement (287.16) also appear in the supplied outlier list.
The Flash TTS launch was also a score outlier
The Gemini 3.1 Flash TTS launch has a supplied all-time score of 1126.45 and is listed among the outliers. A separate post demonstrates the use of audio tags for vocal direction.
Media posts had a higher median score than text-only posts
Deterministic analytics report 38 media posts (76%), with a median all-time score of 18.88 versus 2.66 for text-only posts. The result is descriptive of this dataset and does not establish that media caused the difference.
Tutorials had above-overall-median traction
Tutorial-format posts have a supplied median all-time score of 20.892, compared with the dataset-wide median of 15.41. Examples cover a prompt-to-deployment path and a workflow for moving from a functional prototype to a design-led rebuild.
Statistical standouts
- View standout post 1 Score 1384.5 · 89.84× median
- View standout post 2 Score 1126.5 · 73.1× median
- View standout post 3 Score 1105.4 · 71.73× median
- View standout post 4 Score 394.3 · 25.58× median
- View standout post 5 Score 287.2 · 18.63× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Philipp Schmid
@_philschmid
2 posts
-
2. Your Designer
@Daviowhite
2 posts
-
3. Google AI Developers
@googleaidevs
2 posts
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4. Julian Goldie SEO
@JulianGoldieSEO
2 posts
-
5. Mark McD ☠
@m4rkmc
2 posts
-
6. Logan Kilpatrick
@OfficialLoganK
2 posts
Official accounts feature prominently in launch-oriented posts
Logan Kilpatrick’s cited posts announce Flash TTS and native Android app generation, and both tweets appear in the supplied outlier list. Google AI Developers’ cited posts announce API cost-control features and Lyria availability.
Philipp Schmid’s cited posts translate features into workflows
Philipp Schmid’s two cited posts cover a beginner-oriented app-building guide and observable TTS audio-tag behavior. Deterministic analytics list a median all-time score of 102.79 for his two posts in the dataset.
A builder diary documents surrounding integration work
Daviowhite’s cited posts show an AI Studio-built wardrobe app and a separate account of local development, version control, deployment, mobile testing, and debugging around an AI Studio project.
Since the previous snapshot
What changed since Aug 12, 2026
- 84% of the selected posts remained.
- The creator count changed by +2.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Google AI Studio tweets
Top Google AI Studio tweets from 39 creators
Ranked 01–50
- 01
- 02
@OfficialLoganK ·
Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to speech model with scene direction, speaker level specificity, audio tags, more natural + expressive voices, and support for 70 different languages. Available via our new audio playground in AI Studio and in the Gemini API!
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- 03
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@sundarpichai ·
We are launching two powerful updates to Deep Research in the Gemini API, now with better quality, MCP support, and native chart/infographics generation. Use Deep Research when you want speed and efficiency, and use Max when you want the highest quality context gathering & synthesis using extended test-time compute — achieving 93.3% on DeepSearchQA and 54.6% on HLE.
- 05
@sundarpichai ·
A few updates from across Google this week🧵 A new full-stack vibe coding experience is now in @GoogleAIStudio with the @Antigravity coding agent and a built-in @Firebase integration. Turn your prompts into amazing production-ready apps.
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- 06
@HarshithLucky3 ·
I genuinely didn't expect Gemma 4 31B to perform this well 🤯 Bro, it’s a 31B parameter model. How is it outputting this kind of quality at those weights? If you don’t have the high-end RAM to run it locally, go try it out in Google AI Studio. Remember: it's just a 31B model The wait was 100% worth it🔥
- 07
@_philschmid ·
Great beginner-friendly guide on vibe-coding with Google AI Studio, covers everything from first prompt to deployment. 🔒 Apps are private by default. 🗄️ Firebase databases with auth in one click. 🎨 Draw directly on your app's UI to give feedback. ☁️ Publish to Cloud Run in a few clicks.
- 08
@_philschmid ·
Released today: Gemini 3.1 Flash TTS 🔊 A text-to-speech model you actually direct. Add [whispers] and it whispers. Add [shouting] and it shouts. Mid-sentence. eg. "[asmr] Hey there, [deep and loud] TURN THIS UP, [asmr] how can I help you?" Now available in @GoogleAIStudio & Gemini API.
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- 09
@thebuggeddev ·
Gemini built a learning management platform like Udemy with 10-12 pages all inside @GoogleAIStudio 🔥 It took just a couple of hours. That's how accessible building complex websites is becoming. If you have an idea, you may not need other services now. With AI, You can build it yourself, your way, at your own scale :) Remix: https://t.co/vjNKM5JcTw
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- 10
@KanikaBK ·
GOOGLE JUST RELEASED AN OFFICIAL SKILLS LIBRARY FOR AI AGENTS. AND BUILT IT ON ANTHROPIC'S FORMAT. 13 skills. Free. Works on Claude Code, Cursor, Codex, and Gemini CLI. ONE INSTALL COMMAND gives your AI agent real knowledge of Google Cloud, Firebase, BigQuery, and more. Right now. Here is what is actually going on. Every AI coding tool has the same problem. It knows a lot about general coding but the moment you ask it something specific about deploying to Google Cloud Run or setting up Firebase authentication, it guesses. Sometimes confidently wrong. Sometimes with deprecated methods that stopped working a year ago. Google just fixed that for their entire product suite. They released an official skills library at Google Cloud Next 2026. Not documentation. Not a chatbot. A set of packaged playbooks that you install directly into your AI agent and it immediately knows how to use Google products correctly. ↳ Gemini API on Agent Platform ↳ BigQuery, Cloud Run, Cloud SQL, Firebase, AlloyDB basics ↳ Google Kubernetes Engine setup and management ↳ Onboarding to Google Cloud step by step ↳ Authentication to Google Cloud done right ↳ Well-architected framework skills covering security, reliability, cost optimization, performance, and sustainability One command installs everything. npx skills add google/skills Works with Claude Code, Cursor, Codex, Gemini CLI, and any agent that supports the skills format. Apache 2.0. Free forever. Now here is the part that stopped me. The skills format Google used is not Google's format. It was built and open sourced by Anthropic. Google, one of Anthropic's biggest competitors in AI, just adopted Anthropic's open standard as the official delivery layer for their own products. Same AI. Same prompt. Before installing the skills it recommended deprecated methods. After installing it recommended current best practices with correct configuration. Not because the AI got smarter. Because it finally had the right knowledge. Google spent months writing official playbooks for their products and chose to deliver them in a format that works on every competitor tool simultaneously including Claude Code. I genuinely cannot explain that decision fully. But the skills are free and they work today.
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- 11
@AskMichaelTaiwo ·
During an AI session today, @Akalasraro created an app - a fully functional app - within 90 seconds. He literally just wrote what he wanted the app to do, and Google AI Studio did the rest, complete with backend functionality, it even gave the app a name. It was both terrifying and exciting at the same time. We are in a new world.
- 12
@Hartdrawss ·
90% of apps look vibe coded: same purple gradients, same default fonts, same AI slop. Here’s a workflow to make your app look like it came from a real agency, not a model: 1/ Ship a boring prototype first > Use Google AI Studio or Cursor to spit out a 1‑shot functional app (e.g. voice journaling). > Don’t touch the UI. Just list what actually exists now: screens, flows, edge cases. Function first, vibe later. 2/ Decide how it should feel > Ask Claude: who is this for, what state are they in, what feeling do we want? > Turn that into 1–2 paragraphs of brand guidelines: name, vibe words, “analog vs sci‑fi,” what to avoid. You’re not designing a screen, you’re designing a mood. 3/ Build a reference bank > Collect images on Pinterest / your own Notion: objects, textures, lighting, typography. > Think “cassette decks and paper notes” or “glass and neon,” not “UI shots.” This becomes your visual prompt library. 4/ Generate on-theme assets > Use Flux / Midjourney / Ideogram to create a small set of custom pieces: icon, logo, 1–2 hero illustrations, 1 special button. > Use negative prompts to kill the generic look: “no glossy, no corporate, no 3D gradients.” > Clean them up (remove background, tweak colors) so they’re Figma‑ready. 1–3 strong custom elements beat 20 random assets. 5/ Assemble in Figma like a real app > Drop assets into real iOS / Android frames. > Stick to an 8px grid, 2 fonts max, one accent color. > Use blend modes and overlays so the AI art actually matches your background and type. Now you have a legit, high‑fidelity design, not a screenshot from a model. 6/ Re‑vibe code the app > Feed the final Figma screens + exported assets back into Google AI Studio or Claude Code. > Tell it: “Rebuild the existing prototype using this layout, colors, and assets only.” > Iterate until the code matches the design.
- 13
@fr0gger_ ·
🤓 Last month Google Threat Intelligence published a report on how attackers are leveraging AI and abusing Gemini. They uncovered a malware framework named HONESTCUE. It uses the Gemini API to generate C# payloads on demand. I extracted and referenced the prompts used by this malware into PromptIntel. Check this out 👇 https://t.co/CtNixAQEkZ
- 14
@mikefutia ·
Claude Code Can Now Watch ANY Video Here's how to give Claude the ability to watch & analyze any video. 0:00 - Claude Code Can Now Watch Any Video 0:21 - Demo: Analyzing a Grüns UGC Ad 1:32 - Inside the Video Analyzer Skill Output 2:53 - Why Gemini API 3:41 - How to Install the Skill in Claude Code 5:11 - Demo: TikTok Self-Tanner Ad Analysis 7:14 - From Analysis to Hook Variations for Your Brand
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- 15
@RoundtableSpace ·
Google AI Studio provides zero-cost API access to production-grade Gemini models without attaching a credit card or starting a temporary trial. • Zero-Cost Access: Generate API keys for Gemini 2.5 Flash, Pro, and 3.6 Flash without adding billing details • Generous Developer Limits: Daily limits (e.g., ~15 RPM / 1M TPM / 1,500 RPD) allow full application testing and small production builds • Instant Python Setup: Install google-generativeai and execute live API calls in under two minutes • Universal SDK Support: Integrates directly with multi-model proxy routers like LiteLLM to route free endpoints across app stacks
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- 16
@VaibhavSisinty ·
Vibe coding startups won’t like this. Lovable hit $400M ARR selling what google almost gave away for free. They just made production-grade full-stack development… free. Here’s what Google AI Studio just shipped 📷 → Build multiplayer apps with real backends from a single prompt → Installs missing libraries on its own,no prompts needed → Knows when your app needs a database and spins one up automatically → Keeps full memory of your project across sessions → Firebase Auth and Cloud Firestore, ready out of the box → Handles API keys for payments, maps, and databases seamlessly → One click → production deploy. Done. The only moats left? Distribution. Data. User trust. Not features.
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- 17
@googleaidevs ·
Get more transparency and control over your Gemini API costs with new features in @GoogleAIStudio! - Set granular monthly budgets for every project with Project Spend Caps - Experience automatic upgrades and get faster access to higher rate limits with revamped Usage Tiers - Enjoy enhanced observability, control, and improved billing flow directly within AI Studio Set your cap, start building: https://t.co/H8TEC3I3bE
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- 18
@Daviowhite ·
Pushed my First Commits last night These are the steps I followed 1. I started building in Google AI studio for the first time then faced a challenge with testing on my device 2. I downloaded the react codes to my device and created a repo in GitHub after chatting with macOS built in terminal 3. Making updates was slow so I got VS code to make it faster 4. Discovered it was better so I shutdown macOS terminal, created a new terminal inside vs code 5. Imported my project file folder into it and started making updates directly 6. Learned to pause and restart vite server using control C so I can push new build and test it 7. To test the app on my phone, I created an account with Vercel with my GitHub connected 8. Went back to terminal to test that all integrations are working including GitHub branch “main” and status 9. Pushed my first commit at 4AM, added the commit message, sync with terminal to allow build go through 10. It auto deployed in Vercel and was live on my localhost and phone with the Vercel url 11. I discovered copilot agent was in vs code so I tried it to make a small update to the bottom navigation since 50% of it was hiding behind the browser url Copilot completely moved the bottom navigation below the page 🥲 so I asked my buddy gpt for help 12. It taught me how to undo deployments using a set of codes including git reset —hard HEAD~1 git push —force These commands brought back my previous build but it didn’t push to Vercel so I updated the bottom navigation using “100dvh” instead of “100vh” 13. New commit was available now in Source control so I pushed and it was fixed Made some few adjustments turning the web app into a progressive web app on my phone so it can live as an app icon hiding web browser This process taught me a lot, I went from Hello World to a commit super fast My Complete Tool Stack Core Tech - React + TypeScript - Vite - Tailwind CSS Version Control & Deployment - Git (version control) - GitHub (repository + source control integration) - Vercel (CI/CD + auto deployment) Development Environment - VS Code AI / Assistance Tools - ChatGPT (architecture, debugging, guidance, decision support) - GitHub Copilot (inline code assistance) - Google AI Studio (experimentation, alternative code generation) My workflow - Develop locally - Commit changes - Push to GitHub - Auto-deploy via Vercel - Test on mobile - Iterate
- 19
@mark_k ·
Google launched Gemini 3.1 Flash Live today, its highest-quality real-time audio model for natural voice conversations. The model powers enhanced Gemini Live experiences and is available in preview through the Live API for developers. Main new capabilities: - Significantly lower latency for smoother dialogue - Improved tone and emotion understanding - Strong performance in noisy environments - Real-time multimodal support for audio and vision - Native interruption handling and barge-in - Expanded language coverage and tool integration The update makes voice AI faster, more reliable, and more human-like for users worldwide.
- 20
@pankajkumar_dev ·
Google AI Studio update: Build Android apps with Gemini for free - Google AI Studio now lets users build native Android apps directly from prompts without writing code - You simply describe the app idea and Gemini handles the generation process - More than 250,000 Android apps have already been created since launch last week - Apps can be tested directly inside the browser through a streaming Android emulator - You can generate real APKs, test Android UI interactions, and even publish to Google Play test tracks - Google AI Studio's Android app is also listed as coming soon - We are moving from AI generated websites into full app creations
- 21
@ai_for_success ·
GEMINI NEW MODEL ⚡️ : Google has just launched Gemini 3.1 Flash TTS. I have been testing this for quite some time. Thanks to the Gemini team for early access. You can try it on AI Studio. It is very easy to get started, and there are plenty of quick start templates to test and explore. You get fine control over tone using simple audio tags. Example Prompt: [high energy/active] Welcome back to 'Brain Trust'! Let's jump right into our next category: Ancient History. [anticipation] For five hundred points: Which ancient wonder was located in the city of Alexandria? Is it A: The Hanging Gardens, B: The Colossus, or C: The Great Lighthouse? [assertion] Lock in those answers now! ... [tension] Time's up! [positive surprise] If you guessed C... [triumph] you are absolutely correct!
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- 22
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@williamkast_ ·
My ad creation AI tool stack: Claude Projects - this is the core of the workflow. I feed it all my customer research, reviews, surveys, support tickets, brand guidelines, personas, product info, etc. into it. The more data you give it, the better. Then I use the data to work out core desires, personas, potential angles, angles that competitors are missing, awareness stages and audiences that competitors are missing, etc. If you feed it the top ads of history you can also get help with scriptwriting. Key here: Treat Claude like a junior copywriter you need to give feedback to, not your master. Without elite feedback it's just a matter of time until it gets lost in some nonsense. Gemini + Nanobanana - image generation. For static ads, concepts, and visual ideation. When I need to test a visual angle quickly before investing in a full production shoot, these get the job done fast. MaxFusion - video clip generation. For assembling rough video ad concepts and testing visual hooks without needing a full editing team on every iteration. Google AI Studio - ad learning support. You can feed videos and ask why it thinks it performs and how to change the ad to make it scale even better. But here's the thing most people get wrong about AI tools. They think the tool is the strategy. It's not. The tool is for better and faster execution. If you don't know what awareness stage to write for, Claude won't figure it out for you. If you don't have real personas built from real data, Gemini won't magically create the right visual. If you don't understand why your ads are failing, no AI tool will do the full diagnosis for you. Learn the fundamentals. Then use AI to execute faster. Not the other way around.
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@ammaar ·
New in @GoogleAIStudio: Gemini now designs your app while you vibe code 🚀 You get 5 generated designs before you even start building. Pick one, apply it instantly, and your app already looks polished. More coming this week and next :)
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- 26
@CodeByPoonam ·
Google AI Studio just made full-stack development embarrassingly easy I built a Desi Aunty with a flying sandal app in minutes. Here's how:
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- 27
- 28
@vamsibatchuk ·
working on some dynamic spatial linking experiences in @GoogleAIStudio that lets you build a living canvas where concepts are physically tethered together. built using mediapipe+gemini. spatial interfaces push you to think weird and fun UX/interactions.
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- 29
@Motion_Viz ·
i gave kimi k2 and google AI studio same vague briefs 45 minutes later i got an awwwards-grade site (well sorta) no figma. no wireframes. no designer. just a system that turns ideas into production-ready UI here's the exact output i got with a single prompt-> (been working on this for quite a while now)
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- 30
- 31
@alexabelonix ·
Google DeepMind launched Gemini 3.1 Flash TTS, a text-to-speech model for precise audio control. Its "Audio Tags" feature lets users set vocal style, emotion, and pacing via text. Supporting over 70 languages with native SynthID watermarking, the model is available in preview on the Gemini API and Google AI Studio, rolling out to enterprises on Vertex AI, and integrating into Google Vids for consumers.
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- 32
@python_spaces ·
Google AI Studio just dropped a game-changing upgrade: full-stack vibe coding powered by the Antigravity agent! Turn natural language prompts into production-ready apps — no manual backend hassle. Key wins: - Instant multiplayer magic: real-time games, collab tools & shared experiences - Auto-provisions Firebase auth + Cloud Firestore when needed - Rocks modern stack: Next.js, Framer Motion, Shadcn, Three.js & more - Secure external API keys via Secrets Manager - Cross-device progress saving — pick up right where you left off Wild examples already live: - Retro laser tag battles - 3D particle collab spaces - Physics-based claw machine - Live Google Maps integrations - Collaborative recipe builders From idea → live multiplayer app in minutes. Vibe coding just leveled up big time. Who's building first? Drop your dream app below!
- 33
@VaibhavSisinty ·
Google cooked every expensive AI model. Gemini 3.5 flash launched today. it outperforms gemini 3.1 pro, google's own frontier model, on nearly every benchmark. coding, agentic tasks, multimodal reasoning. What it actually does: → Runs autonomously for hours, only stopping when it needs a decision or permission → Executes full coding pipelines start to finish, no babysitting → Manages multi-step research projects on its own → Built an operating system from scratch in google's internal tests The gemini api now ships managed agents too. one call spins up an agent that reasons, uses tools, and runs code in its own isolated linux box. The smart slow model isn't the ceiling anymore. the fast one is.
- 34
@Daviowhite ·
Google AI Studio did an amazing job on my AI Wardrobe app! What's working now: ✅ Google Authentication ✅ AI-powered wardrobe item detection & upload ✅ AI-powered item enhancement ✨ ✅ Smart Daily Drip outfit suggestions ✅ AI Stylist Chatbot Next step: rebuild natively with Xcode
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- 35
@RoundtableSpace ·
Google just launched Managed Agents on the Gemini API. One API call & you get a full agent w/ a remote Linux environment hosted by Google, ready for custom instructions, skills & tools. No infra to set up. Just describe what you want and ship.
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- 36
@JulianGoldieSEO ·
You can now build your own AI voice app in minutes. No coding required. Inside AI Studio: 1. open speech playground 2. choose Gemini 3.1 Flash TTS 3. set voice style + accent 4. add audio tags 5. click build That’s it. Google basically turned voice agent development into a prompt.
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- 37
@TimJayas ·
Using Gemini to generate Minecraft world is actually insane This guy added a mod which uses Gemini API with function calling Added several tools so AI can directly interact with Minecraft One tool gives it access to all Minecraft commands, letting it build houses, terraform and do complex tasks on its own
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@maeveknows ·
Google just dropped Gemini 3.7 flash it looks like a solid upgrade if you use gemini for coding or building > better at debugging and fixing issues > builds more functional websites with fewer prompts > stronger reasoning for real-world business tasks you can try it now through antigravity, google ai studio and android studio gemini pro and ultra users can also access it through gemini spark google is clearly pushing flash beyond simple everyday tasks if you use gemini for coding, would you pick 3.7 flash over your current model?
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- 46
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@Startupat60 ·
Curious what builders think about the new Google AI limits. Gemini 3.1 Pro just moved from a 5-hour refresh to a 5-day refresh. For the last few months AI Studio and Antigravity basically felt free. Now it feels like Google is saying: $20 Pro = hobbyist Ultra = real developer That’s quite a shift. Fair pricing… or a bit of a rug pull?
- 48
@thealexbanks ·
Feature request for Google AI studio playground: add a pen tool to make fine-tuned edits like Gemini web app for image gen. It can get incredibly frustrating doing many iterations using text prompts just to get the answer you want. I use AI Studio for the aspect ratio consistency and resolution control.
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@JulianGoldieSEO ·
Google AI Studio Just Quietly Changed AI Agents Forever Almost everyone missed the update that turns one API call into a full autonomous workflow. What Changed: → Managed Agents now default to Gemini 3.6 Flash for reasoning, coding, and tool use. → One API call can reason, write code, install packages, browse the web, edit files, and complete tasks inside Google's cloud sandbox. → Managed Agents are now available on the free tier, so anyone can test agent workflows today. The Features That Matter: ✓ Environment Hooks let you approve or block tool calls before they run. ✓ Blocked actions send the reason back into the model so it adapts instead of failing. ✓ Token caps pause long jobs safely, preserve state, and resume later without starting over. Even Better: → Scheduled triggers let agents run automatically on cron schedules. → Sandboxes persist between runs, so agents build on previous work. → Environment APIs let you inspect, recover, and clean up running sessions. The biggest AI updates aren't always new models. Sometimes they're the features that make real agents finally practical.
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