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Devs, are you watching? Even in the age of AI, software developers remain the backbone of our digital world. Their work isn’t just coding — it’s shaping the infrastructure, the economy, and the very way we interact with technology. From Linux, the foundation of countless systems, to the World Wide Web, connecting billions, from Bitcoin, redefining finance, to AI architectures powering the future — these creations show the true power of developers. Today, it’s time to recognize their impact, their vision, and their code that runs the modern world. There are more videos like this on the page. Join us✨ Feel free to share it in your story to show your passion for technology! But if you post it as a reel, please tag 'codcoders' and mention us in the caption 🙌 #developers #coder #linux #www #bitcoins #AI #tech #fyp #fypシ

This is SCARY!🤯 Devin was launched yesterday by Cognition AI and it's another warning to all aspiring software developers. It can debug code, build websites, do basic freelancing gigs, and solve github repo issues. What do you think of it? I made a video on YouTube titled "90 Day Full Stack Developer Roadmap 2024 [FULL GUIDE]". Watch it to get ahead of 90% of average coders out there.💯 Send this to your developer friend. Follow @ishansharma7390 for more. #softwaredeveloper #programming #coding #ai #artificialintelligence #devin #aitools #developer #softwaredevelopment #programmer

Comment "GOOGLE" to get all these Free AI Vibe Coding Tools by Google. While everyone's been losing their minds over ChatGPT and Cursor. Google has been quietly dropping over 10+ free AI coding tools. The best part? They're all free. No catch. Start with Antigravity. It's Google's AI code editor. Works like Cursor. I recently asked it to build a simple dashboard app. Just typed: "Make a responsive e-commerce page with login." Boom. Full code. Preview. Ready to deploy. Like having a dev friend who never sleeps. Then Google AI Studio. Perfect for quick AI apps. Drag blocks. Add Gemini. Seconds later? A chatbot or image tool. Think of it as Lego for prototypes. Fast. Fun. No code needed. Next, Stitch. Their AI design tool. Upload a wireframe. Or describe it. "Clean fintech UI with dark mode." It spits out designs. Plus front-end code in HTML or React. Designers love this. Like magic for sketches. Opal comes next. Mixes n8n workflows with no-code ease. Build AI apps. Use models like Veo 3 for video. Or Nano Banana for light tasks. Here's why people keep using it: 1. Wires automations in minutes 2. Handles marketing flows or ops 3. No servers to worry about Like n8n met a friendly builder. Finally, Jules. The AI coding agent. Connect your GitHub. Tell it: "Add user onboarding. Run tests." It builds features. Fixes bugs. Manages the whole codebase. I tried it on my side project last week. Saved hours. Feels like a junior dev on your team. That's five from 12. Others like Project IDX for cloud coding. Gemini Code Assist for your editor. Makani for workflows and much more #googleai #vibecoding #aicoding #antigravityai #aitools

Comment “Dev” I’ll DM you the top 3 websites for developers mentioned in the video. #WebDeveloper #website #ai #FrontendDev #Tech

Google launched Gemini 3 Pro today as well as ANTIGRAVITY – their new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. Essentially, it’s a full VS Code fork, which will disappoint some – but with Gemini 3 Pro built directly into it. Now, it will take a few days for the developer community to determine whether it outperforms Cursor and some of the other IDEs. But the advantages that Antigravity has, is that it’s coupled with Gemini 3 Pro (SOTA) Gemini 2.5 Computer Use and Nano Banana for rich media generation. Let’s talk about Gemini 3 Pro. There’s really no other way to say it. The benchmarks are incredible. The jump was dramatic – much more than most people expected. Not that benchmarks really matter all that much IMO - but it should make Google investors happy as it’s going to be difficult for other frontier labs to match them in the next several months. I’ll upload the benchmarks and more to @eluna.ai today. If you like this video, follow @rpn to stay two steps ahead on the incredibly disruption happening in tech and how to leverage it in content and business.

Comment "CODING" to get this Free, Open-source Alternative to Lovable and Bolt. There is finally an open-source alternative to Lovable, Bolt, and Replit. It lets you build full-stack apps with your local AI models. And it is 100% free. Unlimited. Open-source. No lock-in to big platforms. No constant worry about caps or prices. Perfect for developers and Indie builders who want control over their stack. Their data. I recently tried it myself. Asked my local model to whip up a simple chat app. Took minutes. Felt like magic. It is called Dyad AI. First, head to the Dyad AI website. Download the app for your OS. Install it fast. Now two choices: 1. Hook it to LM Studio or Ollama. Run models like DeepSeek or Qwen right on your machine. Privacy? Check. Speed? Check. Offline work? You bet. 2. Or grab a free API key from OpenRouter. Use their models. Free limits are plenty generous. Either path works. You get a full-stack builder like Lovable or Bolt. But no credit limits. No rate caps. No paywall surprises. Think of it like this. Building apps locally is easier than biking to the store. Prototype fast. Iterate. Ship as many as you want. On your terms. #boltai #Lovableai #opensourceai #dyadai #aicoding #vibecoding #Lmstudio #ollama #aitools #ainews #aiindia #aicommunity

Run AI models locally like a pro for FREE! Run popular open source models like OpenAI GPT OSS, Google Gemma, Alibaba’s Qwen and Deepseek R1

Choosing the wrong AI automation framework can scale a $50/month operation into a $10,000 nightmare overnight—one developer learned this when n8n changed their pricing model and multiplied costs 200x. This breakdown cuts through the noise around low-code platforms (n8n, Zapier), agent frameworks (LangChain, LangGraph, CrewAI), and raw SDK implementations to reveal when each approach makes sense for your use case. The answer isn’t which tool is „best“—it’s understanding the hidden trade-offs between speed, control, cost predictability, and technical debt. Strategic framework selection matters because vendor lock-in, maintenance complexity, and pricing changes can destroy business economics faster than you can rebuild. Learn the decision framework that matches tools to actual requirements instead of hype. Key points covered: - When low-code platforms become unsustainable (and how to avoid the trap) - Framework vs. SDK trade-offs for complex multi-agent systems - Cost predictability analysis across different approaches - Practical decision tree based on complexity, traffic, and control needs

Comment "APP" to get the full guide on how to build Real Mobile Apps using AI. I built a working mobile app in under 20 minutes. No coding. All AI. Here’s how it went. First, I asked ChatGPT to write me a quick project brief. Just the basics. What the app does. Who it’s for. Four or five must-have features. Nothing fancy. Then I told ChatGPT to turn those features into a **screen plan**. About 5–6 screens. Each described in detail — where buttons go, what text appears, how users move between them. Next stop? UXPilot. I dropped the screen plan in. Seconds later, I had clean, professional app designs. My colors. My fonts. My layouts. Two choices at this point: 1. Fine-tune the screens in Figma 2. Or send them straight into Lovable I went with Lovable. Within minutes, my designs became working code. I opened the app on my phone. It was live. Want it to feel like a native app? Just turn it into a PWA. Done. This whole process? 1. Idea to visuals — 5 minutes 2. Visuals to code — another 10 3. Testing on phone — less than 5 Weeks of work, condensed into 20 minutes. Perfect if you want to see your idea in action before spending thousands. #lovable #uxpilot #mobileapps #appdevelopment #aiapps #aicoding #vibecoding #mobileappdev #aitools #ainews #aiindia #aicommunity

AI Building Construction 🏗️✅ Make Building Growing or Building Formation videos using AI. We have used Google Gemini’s Nano Banana model along with Hailuoai AI Tools to make these. Get Prompts from my Broadcast Channel. #ai #aivideo #construction #realestate

I took the leap of faith trying out a new industry, and I can tell you… It was so worth it. Stay ahead with the latest and most in demand job right now - the ‘AI engineer’, by following this roadmap. Check the post before this for the free courses for each step! 🚀

If AI disappeared tomorrow, how would developers react? 🤔 First of all, StackOverflow’s traffic will go up by 1000%. Jokes aside but January 2026 showed that we are AI depended in all stages of development. The Claude drama proves that, “Anthropic tightened access rules around Claude and howit can be used by third-party tools. Some developer tools stopped working overnight, not because the tech broke, but because the rules changed and workflows had to adjust.” - 📝 When AI tools change rules, developers feel it immediately. Because those models are now part of the application logic. Now if you are someone who just graduated, then it will be hard to adjust as you used AI during your studies to the max. Pre-AI developers are gonna adapt easier as they built debugging muscles without prompting. Pre-AI or post-AI doesn’t matter. What matters is teams of engineers building real software, who combine speed, deep understanding, and adaptability when tools, models, and rules change. What are your thoughts on this one? 💬 Yours, KosDevLab
Top Creators
Most active in #developers-in-ai
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #developers-in-ai ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #developers-in-ai. Integrated usage of #developers-in-ai with strategic Reels tags like #ai development and #ai developer is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #developers-in-ai
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#developers-in-ai is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 7,528,326 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @ishansharma7390 with 2,593,851 total views. The hashtag's semantic network includes 30 related keywords such as #ai development, #ai developer, #ai developers, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 7,528,326 views, translating to an average of 627,361 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 2,593,851 views. This viral outlier performance is 413% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #developers-in-ai ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @ishansharma7390, has contributed 1 reel with a total viewership of 2,593,851. The top three creators — @ishansharma7390, @arkie.develops, and @nick_saraev — together account for 66.7% of the total views in this dataset. The semantic network of #developers-in-ai extends across 30 related hashtags, including #ai development, #ai developer, #ai developers, #ai in software development. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #developers-in-ai indicate an active content ecosystem. The average of 627,361 views per reel demonstrates consistent audience reach. For creators using #developers-in-ai, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#developers-in-ai demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 627,361 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @ishansharma7390 and @arkie.develops are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #developers-in-ai on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.










