AI in Cybersecurity is a Double-Edged Sword for Indian Enterprises
With the global surge in cyber threats, enterprises of all kinds are looking to AI to solve some of their issues conveniently. The same goes for Indian enterprises. However, AI remains a double-edged...
View ArticleZed Hopes VS Code Forks Lose the AI Coding Race
As VS Code and its AI-enhanced forks continue to dominate the developer workflow, a few new contenders like Zed have been in the news for taking a distinctly different approach.To begin with, Zed is...
View ArticleHow SentinelOne is Trying to Meet India’s Appetite for AI-Driven Cybersecurity
India’s cybersecurity landscape is evolving with AI, as are expectations from the tools that protect it. As organisations scale, digitise, and increasingly adopt multi-cloud environments, the demand...
View ArticleIndia’s Smartphone Manufacturing Muscle is Now Stronger Than Ever
India’s manufacturing capabilities have gained increasing attention in discussions and news regarding US President Donald Trump’s high import tariffs. While the spotlight has intensified on the...
View ArticleIndia Has Tech Companies, But Not Enough
Lately, Indian startups have been receiving a lot of flak. This started with union minister Piyush Goyal calling out the “fancy ice-cream” problem of Indian startups, implying that there is not enough...
View ArticleFrom Chennai to the Frontlines, Zuppa Drones to Secure India’s Borders
Hope was rekindled across the subcontinent when the Indian government confirmed on May 10 that Pakistan had initiated contact for dialogue, culminating in a direct ceasefire agreement between the two...
View ArticleThis is How AI Can Be Integrated into a Developer’s Workflow
The rapid rise in AI-powered development tools is changing how developers approach their day-to-day tasks. While these tools promise increased productivity, they also introduce new challenges in...
View ArticleWhy Developers are Quietly Quitting Golang
When a developer Yash Batra chose Golang for an early-stage fintech startup, it felt like the right move. Golang, also called Go, was fast, modern, and battle-tested at Google, Kubernetes, and Docker....
View ArticleWhy Claude is Losing Users
Anthropic’s Claude has faced growing criticism in recent months. Users on the ClaudeAI subreddit have voiced increasing frustration. Both long-time Pro subscribers and new Max users report problems...
View ArticleThe Java Secret of Netflix
Even though Java may not be the trendiest programming language currently, it is still a powerful choice for many, including Netflix. There have been advancements for developers to make AI-infused Java...
View ArticleHow AI is Giving Patients Perfect Vision
In ophthalmology, precision is paramount, and every millimetre counts. Even a slight misalignment can significantly affect a person’s vision and quality of life. Now, artificial intelligence (AI) is...
View ArticleIndia’s Defence Drone Industry Gains Momentum, But Regulatory Challenges Persist
India’s defence drone sector took centre stage following the recent tensions between India and Pakistan. The successful deployment of indigenously developed drones during ‘Operation Sindoor’ to...
View ArticleAI is Changing Healthcare, But Can India Protect Patient Privacy?
India’s digital infrastructure in the healthcare industry has seen rapid technological advancements, reimagining good health along with equitable and efficient care. As per the World Economic Forum...
View ArticleWhy INDMoney is Using Golang to Power Real-time Data Streaming
While some developers are quitting Golang, Google’s open-source programming language has not lost all its ground yet. Many companies still swear by it for some of its benefits, and INDMoney seems to...
View ArticleThe Hidden Environmental Costs of Processing Unstructured Data in AI Systems
Data is the fuel that runs AI tools. While many companies claim their AI tools can process unstructured data and generate accurate insights, they require a lot of energy to operate. One of the biggest...
View ArticleHow Modern Data Engineers Are Becoming Race Engineers of the AI Era
In the fast-changing world of data engineering and the AI era, the role of professionals has evolved, moving from mere managers of data pipelines to key strategists making rapid decisions in real...
View ArticleWhat Every Business Must Know About the Peril of Data Noise
At a time when data flows freely and technology has made collecting and processing information almost second nature, publishing that data in a meaningful way remains a challenge. It is, in many ways,...
View ArticleHow Zepto’s Data Team Built for 10-Minute Delivery
To build apps serving the masses, companies must develop resilient systems that handle all the data efficiently and use it to empower their business decisions and improve the end-user experience. In...
View ArticleHow redBus Uses Raw Data from 150 billion Data Points
Various apps and services collect data, which must be processed, organised, and managed to be meaningful. Several technologies enable companies to accomplish this. How does a company like redBus, a...
View ArticleWhy OpenAI’s Codex is Not as Good as Devin or Replit
If you’re a software engineer, indie hacker, or startup founder who’s spent the last year tooling around with AI agents like Replit’s Ghostwriter, Cognition’s Devin, or Lovable’s smart terminals—well,...
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