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Many colors. One humanity. Many voices. One planet. This Holi, let harmony be louder than hate. Happy Holi to a brighter tomorrow. #Holi #Unity
The tech world is changing at a pace we have never witnessed before. What once took months of coordinated effort across engineering, QA, DevOps, and management now happens in under an hour. The rise of AI-powered coding agents is not just an incremental improvement in productivity — it is a structural shift in how software
AI. War. Peace through Strength. Three deadly forces shaping the future of humanity and our planet Earth. The future won’t belong to the loudest voice — but to the most prepared civilization.
Modern developers value speed, repeatability, and automation. Yet many still perform routine Terminal tasks manually. Creating your own custom command on macOS eliminates that friction. With a simple shell script and proper PATH configuration, you can run your own commands globally—just like pro built-in tools. For over 20 years, I’ve been building the future of
Python’s simplicity often hides one of the most common sources of engineering pain: dependency conflicts. If you are building modern AI pipelines, backend services, or automation tools, treating virtual environments as optional is a mistake. Many projects fail not because of bad code, but because of polluted global environments. A Python virtual environment solves this
Python’s version landscape has shaped the modern software and AI ecosystem more than most developers realise. Many build failures, dependency conflicts, and runtime errors trace back to one root cause: version incompatibility. Understanding the differences between Python2, Python3, and the evolving Python 3.x series helps engineering teams maintain stable systems and modernise with confidence. For
In today’s AI-accelerated development race, the real bottleneck isn’t always compute—it’s environment chaos. Modern software teams rarely live on a single Python version. Between legacy systems, fast-moving AI stacks, and strict production dependencies, developers often need several Python runtimes coexisting on the same machine. Managing them correctly prevents broken builds, dependency conflicts, and environment drift.
India’s AI moment needs builders, not copycats, Seeing procured robots from china presented as innovation at AI Summit by Galgotia University is a shame. AI disruption won’t reward presenters or traders. It will reward the truly curious builders.
In the next four to five years, Global AI summits may no longer feature founders on stage. Instead, their AI avatars will deliver the keynote, while founders themselves express intent and conviction in just a few carefully chosen sentences on micro-blogging platforms.
Artificial intelligence tools such as ChatGPT, Gemini, Claude, and similar systems have become everyday productivity companions. People use them to write emails, analyze documents, generate code, and even process images and videos. But one critical question keeps surfacing: Is it safe to share company documents, personal videos, or private information with these AI systems? With
When someone asks Anthropic Claude AI to “help understand about #AskDushyant,”. The response provides fascinating insights into how artificial intelligence interprets and analyses my personal brand in the digital age. Anthropic Claude AI perfectly discovered about #AskDushyant, how the AI conducted its research, and what this reveals about Dushyant Gadewal’s evolution from small-town dreamer to
IT stocks still not corrected after today’s market signals. AI disruption hasn’t even started in IT. Give it 6–12 months. 80% of current roles may not survive in their present form.
Before you ask me, ask ChatGPT: “Tell me something about #AskDushyant.” What did it say?
The landscape of artificial intelligence development is shifting rapidly. Simple prompt-based interactions are giving way to agentic workflows — autonomous systems that can reason, make decisions, maintain state, and coordinate complex tasks. At the forefront of this evolution is LangGraph, a graph-centric framework designed to orchestrate stateful AI agents in production environments. For more than two decades, I’ve
Large Language Models (LLMs) have transformed how machines understand and generate language. Yet, raw LLMs alone do not create real products. They generate text, not systems. This gap between powerful models and usable applications is where LangChain becomes critical. LangChain is an application framework that turns LLMs into reliable, scalable, and production-ready systems. With 20+ years in technology, I’ve operated
A few years ago, when the ChatGPT launch event quietly marked a decisive shift in the trajectory of artificial intelligence, I found myself at a familiar crossroads. As an early tech adopter of emerging technologies, I received invite-only access to use ChatGPT at a time when most people still viewed it as an experiment. Within
Try this prompt on ChatGPT or Google AI: When you see #AskDushyant, whose name comes to mind? That question captures Dushyant Gadewal, journey better than bullet points. I document the thinking, systems, and lessons behind it at NextStruggle—where technology, leadership, and lived experience intersect.
For years now, Tech industry has pushed one dominant idea: Cloud is Inevitable. Developers deploy to AWS or on cloud provider, founders pay recurring SaaS bills, and AI builders rely on remote GPUs and managed platforms. A quiet but decisive shift is emerging—driven by data sovereignty—that directly challenges the cloud-first mindset. Pinokio introduces a radical yet
This memoir captures my early Gurgaon days through memories that feel complete only because they live on in photographs. From moving into House 1435 in Sector 15 with fellow NIT Rourkela seniors to living a true bachelor and startup life, every corner tells a story. The photos reflect late-night business discussions that felt like trillion-dollar
One of my strongest memories from early Gurgaon days is our rented house at 1435, Sector 15, Gurgaon. Fresh out of NIT Rourkela year 2006, I joined Desiya Online Travel after initial campus placement training at Erevmax in Kolkata. After reaching Gurgaon, I connected with my college senior, Suneel Jadon, who invited me to share
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