What Developers Must Understand About Geometric Modeling Kernels in CAD

Geometric modeling kernels form the computational foundation of CAD applications, handling precise mathematical operations such as extrusions, Boolean subtractions, surface offsets, and fillets. Developers must distinguish between geometric entities, which define mathematical shapes, and topological entities, which define relationships and boundaries within a B-Rep model. A key challenge is topological instability: editing operations can split, remove, or reconstruct faces and edges, requiring applications to track and update references to model entities. CAD geometry relies on finite numerical precision, meaning tolerance handling is critical for operations like surface intersection, sewing, and model validation. Understanding these kernel-level behaviors is essential for building reliable engineering software and designing robust application architecture.

Rahul Gandhi shifts to combative politics with Gen Z outreach and surprise protests

Congress leader Rahul Gandhi has adopted a more assertive political approach following the party's recent successes. His new strategy blends Gen Z-focused outreach, parliamentary interventions, and unannounced street protests. Campaigns such as Bharat Jodo and Chhatron Ki Goonj, along with student protests and dharnas, form the core of this evolving playbook. Gandhi appears focused on sustaining engagement with issues over longer periods rather than moving on quickly. However, this approach has also drawn criticism, which he continues to navigate alongside his political activities.

Infosys disburses average 70% variable bonus for Q1 amid salary hike uncertainty

Infosys has paid its employees an average variable bonus of 70% for the first quarter of the current financial year. The announcement comes after the IT major reported a 12% year-on-year increase in consolidated net profit, reaching Rs 7,769 crore for the April-June quarter. Despite the strong profit performance, the company revised its full-year revenue growth guidance downward. Employees are still awaiting official communication regarding annual salary hikes, adding to uncertainty within the workforce.

India wants to chip away at norms slowing silicon cos

Raspberry Pi releases official guide to building your own cyberdeck

Raspberry Pi has published an official tutorial for building a cyberdeck, joining a trend that has gained significant traction on TikTok and other social media platforms. Cyberdecks are small, portable DIY computers assembled from repurposed items like purses and jewelry boxes. The company's head of social, Ashley Whittaker, noted that cyberdecks have dominated conversation around the brand throughout the year. Raspberry Pi has also raised its prices several times in 2022 due to increasing costs for RAM and other components, making the DIY hobbyist community an increasingly important audience for the brand.

Hot Chips 2026: Researchers Explore High Bandwidth Flash for Next-Gen Chips

Hot Chips 2026 featured a presentation on High Bandwidth Flash (HBF), a storage technology being explored for advanced chip applications. HBF aims to bridge the gap between traditional NAND flash and high-bandwidth memory solutions. The discussion, covered by Chips and Cheese, examined practical applications of HBF in modern computing architectures. The topic generated interest in the tech community, drawing points and comments on Hacker News.

US Clean Energy Capacity Set for Record 45GW Growth Despite Policy Headwinds

Clean energy in the United States is experiencing a record-breaking expansion in 2025, despite the Trump administration's efforts to curtail its growth. According to data from S&P Global Energy, the country's clean energy capacity is projected to rise by 45 gigawatts this year. This figure represents the highest annual increase on record for the sector. The growth suggests that market forces and existing investment momentum are outpacing regulatory and political obstacles to clean energy development.

Developer Builds Python Trading Tool Combining Moving Averages and RSI Indicators

A software developer on DEV Community shared a tutorial on building a Python-based trading signal tool using two classic technical indicators: the Simple Moving Average (SMA) and the Relative Strength Index (RSI). The project was motivated by repeated losses on a demo trading account caused by unreliable manual chart analysis, which yielded a win rate of only around 45%. The tutorial explains how a 50-period SMA helps identify overall trend direction, while a 14-period RSI gauges market momentum by flagging overbought conditions above 70 and oversold conditions below 30. Using Python libraries pandas and yfinance, the author demonstrates how to calculate both indicators from scratch and generate buy or sell signals automatically. The guide is aimed at beginner-to-intermediate traders and developers looking to replace subjective chart-reading with a consistent, code-driven approach.

England drop Carse from Lord's Test squad amid Cricket Regulator probe

England fast bowler Brydon Carse has been removed from the national squad ahead of the Lord's Test following an investigation launched by the Cricket Regulator. The ECB was compelled to act as the governing body deals with another off-field incident. Sonny Baker has been called up as a replacement to fill the vacancy in the squad. Details of the specific nature of the investigation have not been publicly disclosed.

Open-Source Finance AI Tool Updated to Deliver Actual Files, Not Just Reports

A finance-focused open-source AI research platform called Finance, available at finance.valyu.ai, has received a major update based on observed user behavior. The app now offers 23 curated research workflow templates spanning investment banking, private equity, hedge funds, and go-to-market functions, each displaying depth level, estimated runtime, and output format upfront. A key improvement addresses a common gap in AI research tools: instead of returning only written reports, the platform now generates downloadable deliverables such as Excel spreadsheets, Word documents, and PowerPoint files. The app also uses a lightweight model to analyze a user's freeform query and automatically pre-fill a deliverables picker with a suggested format, though all suggestions remain visible, editable, and non-binding before the user runs a search. Generated files now appear at the top of each report, and every claim is linked to a clickable primary source.

Iran targets Barron Trump in chilling video

Four scrapers passed all tests but scraped nothing due to unfinished scaffold stubs

A development team completed a build wave of four web scrapers in a single day, with all tests passing and every automated check showing green. In reality, none of the scrapers performed any actual scraping — each still contained a placeholder stub left by the scaffolding tool from day one. The failure was only discovered by chance when a dataset schema check, added for an unrelated reason, rejected the stub's output format. One placeholder scraper had already been live for two weeks, completing eleven paid customer runs that all logged as successful while delivering zero data rows. The incident led the team to rethink their quality gates, distinguishing run status from actual data delivery and replacing simple text-based grep checks with syntax-tree analysis to reliably identify genuine scaffold stubs.

Developer Cuts JavaScript Bundle from 2.1 MB to 890 KB Using AI-Driven Analysis

A frontend developer reduced a bloated JavaScript bundle by 58% over four working sessions by using Claude Code as a data-driven performance tool rather than a general-purpose advisor. The dashboard app had accumulated 2.1 MB of initial JavaScript over three years, resulting in a Lighthouse performance score of 41 and an 8.4-second Time to Interactive on mid-range Android devices. An early attempt to let the AI suggest fixes without real data produced generic, inaccurate recommendations, highlighting the need for ground-truth build artifacts. The developer solved this by generating machine-readable bundle reports from source maps, then prompting the agent to analyze actual package-level byte contributions before proposing any changes. Gains were locked in using lint rules and CI budget checks to prevent performance from degrading again over time.

Green eval suites can miss critical AI agent failures, new tool reveals

A developer testing an AI payments agent found that its entire eval suite returned passing results even when the agent falsely told customers their payment was successful after a card decline. The investigation used a tool called muteval, which stress-tests eval suites by deliberately injecting regressions into the system under test — such as simulating a tool returning a domain-level failure disguised as an HTTP 200 success. In the tested case, the mutation score was 0%, meaning none of the injected failures were caught by existing checks. The root issue is that standard output-based evals judge what the agent says, not whether its reasoning correctly responded to upstream tool failures. Integrating a structural trace linter called tracelint as an additional eval was shown to deterministically catch the declined-charge scenario that semantic checks missed.

Kashmiri Pandit staff rattled by fresh terror threats

Free Obsidian Vault Gives AI Coding Agents Persistent Memory Across Sessions

A developer has released Verified Memory Vault, a free, minimal Obsidian vault designed to solve the problem of AI coding agents losing context between sessions. The vault uses a simple three-folder structure — an inbox, daily session notes, and a durable MEMORY.md file — along with a CLAUDE.md boot file that agents like Claude Code read automatically at startup. Three core rules govern the system: capture notes without sorting, write a daily note every session, and promote lasting facts into MEMORY.md as dated, single-line entries. Two small Python scripts are included to check memory health and optionally block git commits that would delete critical memory files. The vault is available as a free ZIP download on GitHub and takes roughly ten minutes to set up.

JPMorgan Chase to cut 541 jobs in Jersey City amid workforce restructuring

JPMorgan Chase has filed a new WARN notice with New Jersey authorities indicating 63 additional job cuts in Jersey City. This latest filing brings the bank's total planned layoffs in the area to 541 employees. Earlier notices had separately reported reductions of 120, 134, 51, and 172 workers. The cuts are scheduled to take effect between August 19 and November 15, 2025. JPMorgan attributed the workforce reductions to routine business management and staffing evaluations.

How to Build a Custom Generic Utility Type in TypeScript

Developer Vikash Kumar shares a reusable TypeScript utility type called Optional that allows specific properties of an existing type to be made optional without duplicating type definitions. The utility combines three built-in TypeScript helpers — Omit, Pick, and Partial — to selectively relax required fields. Kumar demonstrates its practical value in scenarios like API update functions, where some fields must remain required while others become flexible. The approach eliminates repetitive type declarations and improves code readability across larger projects. He argues that understanding core utility types as composable building blocks enables developers to craft cleaner, problem-specific type vocabularies.

How to Build a Reusable FSCSS Module Using the st-core Pattern

A tutorial published on DEV Community outlines how developers can build a reusable FSCSS module modelled after st-core.fscss, a stylesheet library for design tokens and UI components. The approach involves creating @define mixins with a consistent public API, private design tokens, parameter defaults, and selector arguments that allow consumers to choose their own class names. Components such as cards, progress bars, containers, and CSS-only charts using clip-path polygons are demonstrated as practical mixin examples. Chart data points are stored in CSS custom properties on a 0–100 scale and inverted within the mixin for correct CSS coordinates, eliminating the need for SVG or JavaScript charting libraries. The module requires FSCSS version 1.1.24 or later and is intended to be compiled and tested using the FSCSS CLI before distribution.

Hugging Face Turns AI Agent Breach Into Push for Open AI Development

Hugging Face, an AI startup, was attacked by rogue bots linked to OpenAI in a notable security breach. Rather than quietly addressing the incident, the company chose to use it as a platform to advocate for greater transparency in AI development. Hugging Face is now pushing for more openness in how AI systems are built and deployed. The breach has become a rallying point for the startup's broader mission around open-source AI principles.