Moody's Upgrades India's GDP Growth Forecast to 7% for 2026-27

Moody's has revised upward its GDP growth forecast for India to 7% for the fiscal year 2026-27. The credit rating agency noted that India's real GDP growth accelerated to 8.2% year-on-year in the first half of calendar year 2026. This upward revision reflects strong economic momentum observed in the Indian economy. The improved forecast underscores growing confidence in India's economic trajectory among global financial institutions.

What Shapoorji Pallonji said on Tata Sons' listing

Manu Bhaker and Tajinderpal Singh Toor named India's flag bearers at Asian Games

Shooter Manu Bhaker and shot putter Tajinderpal Singh Toor have been selected to carry India's flag at the Asian Games opening ceremony. Bhaker gained widespread recognition after winning two bronze medals at the Paris Olympics. Toor is a seasoned competitor in shot put, having claimed gold at two previous Asian Games editions. Together, the pair represents India's athletic achievements across different disciplines. Their selection highlights India's intent to project a strong sporting image at the continental event.

After Hangzhou high, Nagoya puts India to Asiad test

Babe Ruth rookie card hidden in $25 piano since 1916 sells for $130,000 at auction

In 1992, Ellen Kelly purchased her aunt's old piano in Maryland for just $25. A friend repairing a stuck pedal later discovered 112 baseball cards concealed inside the instrument, among them a rare 1916 Babe Ruth rookie card. Kelly chose to keep the find private for nearly three decades before deciding to sell. The Babe Ruth card eventually went under the hammer at auction, fetching $130,053 — well above its pre-sale estimate.

Newlywed Woman Critically Burned in Darjeeling Homestay Barbecue Accident

A newly married woman from Chopra suffered severe burns during a barbecue mishap at a homestay in Darjeeling while on her honeymoon. Her husband intervened to douse the flames, and the incident was captured on video. Family members have alleged that the homestay staff failed to provide timely medical help following the accident. The woman is currently in critical condition receiving treatment. Police have launched an investigation into the circumstances surrounding the incident.

Code Tracker AI Plugin Launches on Product Hunt to Help Developers Understand Their Own Code

Solo developer Mona Hidalgo has launched Code Tracker AI (CTAI), a JetBrains IDE plugin designed to help developers understand existing code rather than generate new code faster. The tool provides real-time explanations of what functions do and why, flags issues with root-cause context, and automatically maintains 'Code Books' that log the reasoning behind coding decisions as work happens. Built from rural New Mexico without a team, CTAI runs on a custom architecture combining Git history, 60-plus security and quality checks, and an AI narrative engine that produces plain-English explanations. The plugin supports multi-model LLM routing across Claude, DeepSeek, Llama, Mistral, and Amazon Nova, and is available on the JetBrains Marketplace for IntelliJ, PyCharm, WebStorm, and Android Studio. Hidalgo says the tool targets a gap she repeatedly encountered: reconstructing the intent behind old or unfamiliar code, a problem she argues has grown more acute as AI-generated code outpaces developers' ability to comprehend it.

Stanford Builds 37,000-Agent AI System to Simulate Full Drug Development Pipeline

Stanford Medicine researchers published a study in Science on September 17, 2026, detailing a virtual biotech company composed of tens of thousands of AI agents covering the entire drug-development process. Led by Zhang and senior author Zou, the system identified candidate success signals and proposed an antibody-drug conjugate targeting B7-H3 using data predating January 2025. Notably, a pharmaceutical company independently reached a similar strategy months later, which subsequently received FDA breakthrough therapy designation — serving as an external validation of the system's outputs. The research highlights key design principles such as role specialization, shared memory, and human oversight over irreversible decisions. Experts note the findings carry broad implications for deep-tech startups, emphasizing the need for structured agent governance and rigorous audit trails over simply scaling up AI agents.

Java Collections Guide: When to Use List, Set, or Map in Real Projects

The Java Collections Framework provides three core data structures — List, Set, and Map — each suited to different programming needs. List preserves insertion order and allows duplicates, making it ideal for ordered sequences like task queues. Set enforces uniqueness with no guaranteed order by default, useful for scenarios like deduplicating social media posts. Map stores key-value pairs with unique keys, making it well-suited for lookups such as tracking product quantities in a shopping cart. Choosing the right collection and its specific implementation, such as ArrayList versus LinkedList or HashMap versus TreeMap, depends on the access patterns and ordering requirements of the use case.

Kubernetes Node Selectors vs Node Affinity: How to Control Pod Placement

Kubernetes allows users to guide the scheduler by labeling nodes and configuring pods to target those labels using nodeSelector or node affinity rules. nodeSelector offers a simple key-value match, placing a pod only on nodes that carry every specified label. Node affinity extends this with expressive operators like In, NotIn, Exists, and Gt, and supports both hard requirements and weighted soft preferences. The 'IgnoredDuringExecution' behavior means that once a pod is running, changes to node labels do not trigger eviction or rescheduling. These tools help bridge gaps the scheduler cannot fill on its own, such as routing workloads to GPU-equipped or SSD-backed nodes.

BCCI AGM begins with key decisions to make

'Rewards for justice': US offers $15M for info on Iran's secretive financial networks

Andrew Ng Dismisses AI Extinction Fears as Science Fiction

AI pioneer Andrew Ng, co-founder of Google Brain and Coursera, has pushed back against fears that artificial intelligence poses an existential threat to humanity. He described such extinction-level concerns as far more rooted in science fiction than in actual science. Ng noted that the tech industry itself had previously amplified fears about AI's catastrophic potential during the early stages of the AI boom. His comments reflect a growing debate among experts about whether doomsday AI narratives are overstated or genuinely warranted.

Telangana RERA orders builder to refund Rs 79L for incomplete villa project

A homebuyer in Telangana paid Rs 79 lakh toward a villa priced at Rs 2.14 crore, but the property was never completed. The Telangana Real Estate Regulatory Authority (RERA) took up the matter after the builder failed to deliver the promised villa. During proceedings, the builder could not provide any documentation or evidence showing the current construction status. Finding no proof of progress, RERA ruled in favour of the buyer and ordered a full refund of the Rs 79 lakh already collected.

Gambhir outlines gradual comeback plan for Hardik Pandya amid India's packed schedule

India head coach Gautam Gambhir has addressed Hardik Pandya's return to international cricket, indicating the all-rounder is not yet ready to bowl a full ten-over spell. Gambhir's comments came as Indian selectors juggled a large player pool to field three senior India teams and two India A sides simultaneously. The coach viewed the expanded squad depth as a positive development for Indian cricket. Pandya's workload will reportedly be managed carefully as he works his way back to full fitness.

How to Add Observability to ASP.NET Core APIs with Prometheus and Grafana

A hands-on tutorial demonstrates how to implement observability in an ASP.NET Core Minimal API using Prometheus, Grafana, and Docker Compose. Developers learn to create custom metrics — including Counters and Histograms — via the prometheus-net.AspNetCore package, exposing data through a /metrics endpoint. Prometheus periodically scrapes this endpoint and stores time-series data, which Grafana then visualizes through configurable dashboards built with PromQL queries. The guide covers practical steps such as configuring Prometheus as a Grafana data source, using Docker Compose service names instead of localhost, and importing pre-built dashboards from Grafana Labs. The tutorial is aimed at teams monitoring APIs, microservices, and distributed ASP.NET Core systems that need to track request volume and operation duration over time.

How Python's '=' operator works: assignment vs. mutation explained

A tutorial published on DEV Community explains a common source of confusion for Python beginners: why assigning one variable to another can sometimes cause both to change. The key distinction is that '=' in Python does not copy an object — it binds a name to an existing object, meaning two variables can point to the same mutable structure like a list. When a mutable object is modified through one variable, the change is visible through all other variables referencing the same object, a behavior known as mutation. By contrast, reassigning a variable to a new value simply rebinds that name to a different object, leaving other references unaffected. The article also covers related pitfalls, including the difference between '=' and '==' and the fact that Python's input() function always returns a string, not a number.

Solana cuts block time by 17% to 250ms, transaction throughput unchanged

Solana is reducing its target slot time from approximately 400 milliseconds to 250 milliseconds, making blocks faster to produce. This change gives decentralized applications access to fresher on-chain data more frequently. Validators will also hold shorter control windows over each block, which has implications for network security and fairness. However, the amount of computational work permitted per slot is being scaled down proportionally, meaning overall transaction throughput remains the same.

Developer Outlines TypeScript Architecture for Stock Token Trading Terminal on Robinhood Chain

A developer has published a detailed technical guide on building a stock token trading terminal on Robinhood Chain, Ethereum's EVM-compatible Layer-2 network with chain ID 4663. The proposed architecture separates the application into frontend, API, trading infrastructure, and blockchain layers, with the frontend handling trading intent and the backend managing validation and execution. The terminal relies on Robinhood's Stock Token API, which provides contract addresses, price feeds via Chainlink, and asset metadata to ensure correct token identification across chains. Key components outlined include an asset registry, canonical contract validation, market data services, order management, and portfolio reconciliation. The design is intended to support web terminals, mobile apps, automated bots, and API clients from a single shared backend without duplicating execution logic.

How to nail the 'Tell me about yourself' interview question in 60 seconds

Career advice from DEV Community outlines a structured approach to answering the most predictable interview question: 'Tell me about yourself.' Rather than reciting a resume chronology, candidates are advised to follow three beats — current role with scope, selective relevant history, and an explicit connection to the specific job. The interviewer uses the opening answer to set the agenda for follow-up questions, making deliberate topic choice strategically important. Each sentence should pass the test of relevance to the role, with vague enthusiasm replaced by specific, concrete detail. The response should be rehearsed aloud and timed, as most people run longer than they expect when speaking.