Developer Builds 'Avery', an English-Like Programming Language for Beginners
A developer has created Avery, an open-source programming language designed to make code read as naturally as plain English. The language aims to reduce syntax complexity so learners can focus on problem-solving rather than language mechanics. Avery includes common functionality such as random number generation as built-in features, eliminating the need for import statements. The project is still in early development, with some features incomplete and syntax subject to change. The creator has published Avery publicly on GitHub and is inviting feedback, particularly on syntax design and built-in functionality.
Why AI Workflows Need Defined Boundaries, Not Just Prompts
Vague instructions like 'summarize these notes' are a common root cause of AI workflow failures, according to a DEV Community analysis. A prompt describes a task, but a proper workflow brief establishes operating boundaries covering evidence sources, data safety, review ownership, and acceptance criteria. Without these controls, an AI system may produce fluent but inaccurate output — for instance, misrepresenting a proposal as an approved decision or silently merging outdated information. The article outlines five essential workflow controls: a specific outcome, an evidence boundary, a data-safety boundary, a named reviewer, and observable acceptance checks. These guardrails do not make AI models infallible but make errors easier to detect and accountability clearer.
Teen Developer Seeks Collaborators for Gemini API Web App MirAI on GitHub
A 14-year-old developer built MirAI, a web app that interacts with Google's Gemini API, as their first coding project starting in September 2024 using the Vanilla Stack with AI-assisted code. The developer directed the workflow while AI handled the code writing. Development on MirAI has slowed as the creator has shifted focus toward building an ebook catalog platform for a self-founded digital publishing venture. The developer is now publicly seeking collaborators to continue MirAI's development, inviting interested contributors to submit an issue on the project's GitHub repository.

Dev builds multilingual chat widget using local ONNX embeddings to cut API costs
A developer created 'Ask Leya', a business-focused chat widget that answers queries from a company's own content and escalates to a human agent when needed. Unlike conventional chatbots, it uses the paraphrase-multilingual-MiniLM-L12-v2 model run locally via ONNX to embed queries across 50+ languages without external API calls or per-query embedding costs. The stack combines Node.js, Express, Postgres with pgvector, Socket.IO for live handoffs, and gpt-4o-mini via OpenRouter for generating responses. Key engineering challenges included managing a shared database with unreleased modules, handling async rejections in Express 4, and a 90-second production hang caused by a macOS binary being deployed on a Linux server. Integrations for WhatsApp, Instagram, and Messenger are complete but held back pending a polished self-serve release.

SQLazy Tool Converts Messy Swipe Logs into Paired Session Rows
A technique using the SQLazy query tool transforms raw building swipe logs—where each entry or exit is recorded as a separate timestamped row—into single-row sessions pairing each IN and OUT event. The source data is often messy, containing unpaired records and consecutive swipes in the same direction, making straightforward pairing unreliable. The approach works in three steps: sorting records by person, building, and timestamp; applying a conditional segmentation rule to detect session boundaries based on the previous action; and finally grouping and aggregating each segment into one row with separate IN and OUT columns. Unpaired records are preserved as individual rows with NULL filling the missing side, ensuring no data is lost. The method relies on SQLazy's relative position syntax to reference the previous row's value, replacing the need for explicit SQL window functions like LAG.

BJP's Suvendu Adhikari Launches 'Saffron Samman Yatra' to Spread Nationalist Message
Senior BJP leader Suvendu Adhikari has initiated a programme called the 'Saffron Samman Yatra' in what appears to be a politically significant move. The ruling Bharatiya Janata Party has stated that the initiative aims to promote nationalist ideology among the public. The party has actively called on people to participate in the procession. The yatra is seen as a notable political exercise by the BJP in the region.

What PyArrow Is and How Zero-Copy Data Sharing Actually Works in Python
Apache Arrow is an in-memory columnar data format designed to eliminate the costly data-copying that traditionally occurs when moving data between tools in a Python data stack. Unlike Parquet, which optimizes for compact on-disk storage and requires decoding before use, Arrow stores data in ready-to-compute, uncompressed buffers that CPUs can operate on directly. PyArrow is the Python implementation of this standard, and its zero-copy capability means processes sharing Arrow-formatted data can reference the same memory buffers rather than duplicating them. Arrow represents values such as strings using contiguous fixed buffers — including a validity bitmap, an offsets buffer, and a values buffer — instead of scattered pointer arrays, enabling faster vectorized computation. This architecture is why Arrow has become a common interchange layer across tools like DuckDB, Polars, pandas, and PySpark.

All 8 Arrested in Delhi Murder of Manipuri Musician, Chargesheet Due in 2 Weeks
All eight suspects accused in the killing of Manipuri musician Chongtham Vikram Singh have been arrested by Delhi police. Union Minister Kiren Rijiju stated that a strong chargesheet will be filed within two weeks of the incident. Singh died following a violent altercation involving delivery workers and dhaba employees. His body is set to be transported to Manipur on Wednesday for the last rites. Authorities have expressed hope that those responsible will receive strict punishment under the law.
AI Tools Make Bad System Design Easier to Ship, Not Harder to Need
AI-powered no-code tools can rapidly generate working prototypes from plain-language prompts, but producing a production-ready system that handles real users is an entirely different challenge. Core system design decisions — such as data schema integrity, session state management, API failure handling, and access control — must still be made deliberately before any code is written. When AI generates code that looks complete on the surface, teams may ship architecturally flawed systems without realizing critical decisions were never addressed. Problems like silent data corruption, broken cart sessions, unhandled payment API errors, and insecure user access often go unnoticed in demos but surface quickly under real-world conditions. No-code AI reduces the friction of writing code, but it does not replace the engineering judgment required to design systems that are safe, consistent, and resilient.
How KVM_RUN Powers Virtual Machines: The VM Exit Loop Explained
The ioctl(KVM_RUN) system call is the core mechanism that drives virtual machine execution in the Linux KVM hypervisor stack, with tools like QEMU and Libvirt essentially acting as scaffolding around this single looped call. To understand it, one must first grasp file descriptors — non-negative integers the kernel assigns to every open resource a process holds, whether a file, socket, or virtual CPU. Three descriptors (stdin, stdout, stderr) are pre-allocated by default, and all subsequent resources receive the next lowest available integer. Standard read() and write() calls handle raw data transfers but cannot perform device control operations, such as ejecting a CD drive or changing a serial port's baud rate. Unix addresses this gap through ioctl, a generic system call that lets processes send arbitrary commands to any device or resource identified by a file descriptor.

Rand Water Cyberattack Hit IT Systems but Left Water Supply Intact, Raising Broader Concerns
South African bulk water utility Rand Water disclosed a cybersecurity incident on 3 September 2026, affecting certain IT systems including payment software and GIS mapping tools used by contractors to locate underground infrastructure. The utility confirmed that water treatment processes, quality control systems, and monitoring under South Africa's SANS 241 drinking-water standard continued to operate normally throughout the incident. The attacker, attack vector, and whether any data was stolen were not publicly identified by Rand Water. The disclosure was triggered by JSE debt-listing obligations, prompting concerns that similar incidents at other public infrastructure operators may go unreported due to no equivalent legal requirement. The incident follows a pattern of cyberattacks on South African critical infrastructure, including the 2021 ransomware attack on Transnet and a 2024 encryption attack on the South African Bureau of Standards.

Apple Expected to Unveil Its First Foldable iPhone at Annual Launch Event
Apple is set to hold its annual product launch event on Wednesday, where it is widely anticipated to reveal a folding smartphone. This would mark one of the most significant design changes to the iPhone in several years. The expectation is largely driven by strong belief among Apple product enthusiasts and followers. A foldable iPhone would place Apple in direct competition with existing foldable devices from rival manufacturers.

Researchers Find AI-Built Worm Capable of Mass-Hacking WeChat Accounts
AI researchers have discovered a computer worm that was constructed using artificial intelligence models. The worm was designed to target WeChat accounts and could potentially compromise hundreds of millions of devices. Experts warned that such an attack could spread at alarming speed, causing widespread damage within hours. The finding highlights growing concerns about AI being weaponized to develop sophisticated cyberattack tools.

Apple's New AI Siri Struggles to Win Over Third-Party App Developers
Apple's revamped Siri, powered by its new artificial intelligence system, is facing a significant adoption hurdle. The upgraded assistant depends heavily on integration by developers who build popular apps for iPhones. So far, many key app makers have not yet moved to support the new AI features. Without broad developer participation, the system's capabilities remain limited for everyday users. Apple's AI ambitions could stall unless it convinces the wider app development community to get on board.

Stoke Space secures $1B Series E to advance reusable rocket ambitions
Stoke Space has completed the initial closing of a $1 billion Series E funding round, the company announced recently. The capital raise is intended to help the aerospace startup achieve orbital flight capability. Stoke Space also plans to use the funds to develop and prepare a new, larger rocket for operational use. The company is positioning itself as a competitor to SpaceX in the reusable rocket market.
