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Comment “AIE BASICS” to get my free guide to pivot your SWE job into AI engineering👇 I studied AI engineering for 11 hours a day for 3 months 😳 Here’s what I actually learned: 1️⃣ Spend WAY more time on software engineering basics Most people struggling to become AI engineers aren’t bad at AI they’re bad at SWE fundamentals. 2️⃣ Copying tutorials = fake progress If you spent months following tutorials instead of building real things, companies can tell. And that’s why your projects aren’t landing interviews. 3️⃣ Weak foundation = weak AI projects You can’t build things companies care about if you don’t even know what you’re doing. Strong AI engineers are first strong software engineers. AI isn’t hard. Skipping the basics is. Stop chasing AI just because it’s hot and fix your foundation first. If you want the exact material I used to master software engineering and transition into AI engineering, I put it into a free guide. Comment “AIE BASICS” and I’ll send it to you 👇

Comment "SYSTEM" to get these AI Automation systems. These are three simple AI systems you can sell to almost any B2B business. I’ve seen these work first-hand. They’re practical. They save time. And they’re easy to explain. First up: the Google Maps scraper. Imagine you’re fishing. But instead of one fishing rod, you have a giant net. That’s what this tool does. It scoops up thousands of business emails from Google Maps in minutes. No more searching one by one. Just a huge list of leads, ready to go. I once used it for a local marketing agency. Their sales team went from a handful of leads to hundreds—overnight. Next, the personalized asset creator. Think of it like a custom gift for every prospect. Instead of sending a boring, generic email, you send something special. Maybe a mini report. Maybe a quick video. It’s like showing up to a party with a present—people remember you. I tried this myself. My response rates doubled. Sometimes, people even thanked me for the effort. Finally, the proposal generator. Ever scrambled to put together a proposal after a call? This tool does it for you. Instantly. Clean, professional, and ready before you even hang up. It’s like having a personal assistant who never gets tired. Here’s the good news. These automations work for almost any business that needs leads, wants to stand out, or hates paperwork. And if you want to set them up, I’ve got a step-by-step video guide that walks you through everything. #n8n #aiautomation #aiautomationagency #leadgeneration #webscrapper #nicksaraev #aisystems

Most people are juggling 15 different AI subscriptions and getting worse results than someone using 5 tools intentionally. Here’s the tech stack I actually use to build and ship products every week: Claude as the core reasoning engine. Nothing else comes close for complex problem solving, architecture decisions, and writing production code. Claude Code for agentic development straight from the terminal. No GUI clicking around. Just describe what you want built and let it run. Obsidian as the knowledge layer. Every project, every idea, every system I build gets documented here. Your AI tools are only as good as the context you feed them. The tools on the “lose” side aren’t necessarily bad. They’re just redundant when your core stack is dialed in. Most people collect tools. The ones actually shipping are choosing depth over breadth. Pick fewer tools. Learn them at a dangerous level. Build things that work. That’s the whole strategy. Follow for more breakdowns on building with AI. #AI #VibeCoding #BuildInPublic #AICoding #claude

If you know these AI tools, you are already living 10 years in the future. Comment which one is your favourite.

Complete guide and roadmap to becoming an AI Engineer in 6 months, with resources #ai #tech

These AI tools shows us exactly what the world could look like in 5 years 🤯 #chatgpt #ai #artificialintelligence #websites #websiteservices #aitools #tools #thefuture #developers #developerstuff

There are 3 levels of AI. 🤖 Most people don't know Level 2 and 3 exist. Level 1 → LLMs (ChatGPT, Claude): Single-cycle responses. Text in, text out. Level 2 → AI Agents (Cursor AI, Windsurf AI, Claude Code): See your project, execute multi-step workflows, ship features. Level 3 → Agentic AI : Plans entire projects, sets own goals, works for days autonomously. Like a senior engineer who never sleeps. Comment what AI content you want to see next 👇 #AI #ArtificialIntelligence #AITools #ChatGPT #AIAgents #MachineLearning #TechTok #AIForBusiness #Automation #FutureTech #AINews #TechEducation #ProductivityHacks #AITechnology #DevinAI #ClaudeAI #CodingWithAI #AIWorkflow #TechInnovation #AIRevolution #StartupTech #FounderTips #BuildWithAI #AIExplained #TechTrends #AIAutomation #SmartTech #AIForFounders #TechShorts #Innovation

The stages of AI explained. The last one changes everything—for better or worse

Built an App Only Using AI!🤯 Forget cursor, chatgpt and devin. This new ai tool lets you build and deploy web apps without writing a single line of code I literally built a full stack crud app in less than an hour by writing plain english You start by giving it a name And writing a description for what you want to build How many pages you want What functionality you’re looking for How many input fields and buttons and headings After you write the logic in natural language It breaks down the app into multiple tasks And then builds it step by step Asking you to test out every feature it implements It even debugs code if you find errors And iteratively builds the whole app, one task at a time You can even deploy the app with just a click once it’s ready It’s called Pythagora AI, a vs code extension you can use for free What will you build with it? Try out pythagora.ai with the link in my bio! Share this with a friend. Follow @ishansharma7390 for more.🙏 #ai #chatgpt #gpt4 #softwareengineering #softwaredeveloper #softwareengineer #coding #developer #chatgpt4 #openai #artificialintelligence #machinelearning #generativeai #webdevelopment #webdeveloper #pythagora

What if the future of AI is not just bigger chatbots, but systems that actually understand the world? Yann LeCun is betting on that idea. His new company, AMI (Advanced Machine Intelligence), is building toward a next stage of AI, one that learns more like humans do: by seeing, moving, testing, and understanding what happens next. That matters even more in fields like healthcare, where AI cannot afford to just sound smart. It has to be right, safe, and grounded in reality. This is not a quick product story. This is a long-term bet on the next era of intelligence, and the world is clearly paying attention. From Nvidia to Jeff Bezos to Mark Cuban, some of the biggest names in tech have backed the vision. The question is no longer whether this idea is interesting. The real question is whether world models could shape what comes after today’s AI. . . . 🏷️ Day 08, 50 Day Challenge, Learn Al in 2026, Simplest way If learning Al in 2026, Avoid Al Brain Rot, Generative Al, Artificial Intelligence, Al, Large Language Models, GenAl, Claude, AGI, ChatGPT, Al Evolution, Important Concepts, Series, Al Series

I spent 100 hours on this and I hope this makes AI easier to understand and less scary for you 🫡 What you’ll learn in this video: 1. The types of AI 2. How AI is created 3. How AI becomes biased 4. How AI generates text 5. How AI generates images 6. The energy cost of AI 7. A brief history of AI If you have more questions or feedback, please share them in the comments. Follow @futurewithfawzi on IG and YouTube for more AI explainers! and yes, these were drawn by me and not AI 😂 #deepseek #ai #artificialintelligence #tech #openai #microsoft #google #nvidia #technology

Best AI Tool for testing automation🔥 Introducing Kane AI- world’s first Generative-AI based automation tool which: ✅Understands your product and then write structured test cases ✅It takes input in simple plain english and translates them into executable test cases ✅It will handle enterprise-level complexities like multiple languages, tech stack, API calls, etc! ✅Lastly it can detect bugs at runtime and auto-heal itself as and when changes are made in the product! Comment “AI” to get the link straight in your DMs! [AI, Automation, Tech, Software Engineering, Deployments, AI Tool] #aitool #ai #softwareengineer #automation #softwaredeveloper
Top Creators
Most active in #ai-in-software-development
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #ai-in-software-development ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #ai-in-software-development. Integrated usage of #ai-in-software-development with strategic Reels tags like #development and #software is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #ai-in-software-development
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#ai-in-software-development is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 20,894,515 views— demonstrating exceptional viral potential within this content vertical. The top creator ecosystem features 8 notable accounts, led by @ambitious.labs with 9,310,899 total views. The hashtag's semantic network includes 30 related keywords such as #development, #software, #developer, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 20,894,515 views, translating to an average of 1,741,210 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 9,310,899 views. This viral outlier performance is 535% 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 #ai-in-software-development 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, @ambitious.labs, has contributed 1 reel with a total viewership of 9,310,899. The top three creators — @ambitious.labs, @its.scortier, and @itsemilyhiggins — together account for 79.7% of the total views in this dataset. The semantic network of #ai-in-software-development extends across 30 related hashtags, including #development, #software, #developer, #software development. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #ai-in-software-development indicate an active content ecosystem. The average of 1,741,210 views per reel demonstrates consistent audience reach. For creators using #ai-in-software-development, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#ai-in-software-development demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 1,741,210 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @ambitious.labs and @its.scortier are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #ai-in-software-development on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.











