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ProgrammingDEV Community ·

Lattice Grid ships 88 technical column types to handle engineering and network data

A developer has built Lattice Grid, a data grid designed specifically for applications that display technical and engineering data. Unlike standard grids that support only basic types like text, number, date, and boolean, Lattice Grid bundles formatting, parsing, sorting, and storage behaviour into each column type. The grid ships with 95 total column types spanning physical units, electrical quantities, network addresses, numeric bases, temperature scales, and currencies. Each unit-based column stores a single plain number in a base unit while keeping all unit-awareness confined to display and input layers, ensuring sorting and aggregation remain straightforward arithmetic. Developers can also register custom unit systems using the grid's public API.

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ProgrammingDEV Community ·

From Mainframes to Multi-Cloud: How Cloud Computing Evolved and Where It's Headed

Cloud computing traces its roots to 1950s mainframe time-sharing, when large institutions allowed multiple users to access a single powerful machine, a model that computer scientist John McCarthy predicted would one day become a public utility. The technology advanced significantly in the 1990s through virtualization, which enabled one physical server to run multiple virtual machines, boosting hardware efficiency and scalability. The modern cloud era began in 2006 when Amazon launched AWS, making infrastructure services publicly available; Google and Microsoft soon followed, turning cloud computing into a global standard. Today, most organizations operate across multiple cloud providers simultaneously, blending services from AWS, Azure, and Google Cloud to balance cost, performance, and security. Looking ahead, cloud computing is expected to power AI workloads, expand into edge computing for real-time processing, and shift toward serverless architectures that abstract infrastructure management away from developers.

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ProgrammingDEV Community ·

Developer Builds Scoped AI Agents for SaaS CRM to Enforce Data Access Boundaries

A developer building AI features for a SaaS CRM called uniThread found that a single all-access AI assistant created significant authorization and data privacy risks. To address this, they designed a system of scoped agents, each limited to only the context, knowledge, and tools relevant to its specific role. The architecture separates responsibilities across three agents: a personal assistant tied to individual user data, an organization assistant governed by membership roles and tenant boundaries, and a public-facing product assistant with no access to customer records. The scoped approach ensures that multi-tenant boundaries are respected, preventing users from one organization from accessing another's CRM data through natural language queries. The developer emphasized that agent scope controls not just the system prompt but also the data context and executable capabilities available to each agent.

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ProgrammingDEV Community ·

From Turing to ChatGPT: A Brief History of Artificial Intelligence

The formal history of artificial intelligence began after World War II, with Alan Turing's landmark 1950 paper proposing a test to measure machine intelligence. In 1956, John McCarthy and colleagues coined the term 'Artificial Intelligence' at the Dartmouth Summer Research Project, setting the field's foundational agenda. Early progress in the 1960s gave way to funding cuts and stalled research in the late 1970s, a downturn known as the first 'AI Winter.' The 1980s brought a partial revival through rule-based Expert Systems and the development of backpropagation, a technique that would later power modern neural networks. The 21st century marked a turning point as vast internet data, powerful GPUs, and improved algorithms converged to produce breakthroughs like deep learning, AlphaGo, and today's generative AI systems.

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ProgrammingDEV Community ·

Quantum Computing Enters Fault-Tolerant Era, Disrupting Pharma, Finance and Energy

By 2026, the quantum computing industry is said to have moved beyond the Noisy Intermediate-Scale Quantum (NISQ) era and into fault-tolerant quantum computing, marking a shift from experimental prototypes to practical applications. Advances in error correction protocols have reduced the number of physical qubits needed to produce stable logical qubits, with IBM, Google, and others pushing coherence times further than before. Pharmaceutical companies are reportedly using quantum algorithms to simulate molecular interactions at the sub-atomic level, potentially cutting drug discovery timelines from years to months. In finance, hedge funds are deploying hybrid quantum-classical algorithms for real-time portfolio optimization, while materials researchers are using quantum simulations to develop next-generation EV battery chemistries. Alongside these opportunities, cybersecurity experts and government agencies are racing to adopt post-quantum cryptography standards to protect data from future quantum-powered decryption threats.

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ProgrammingDEV Community ·

How to Paginate Whoosh Search Results with Offsets and Page Counts

Whoosh, the pure-Python full-text search library, includes a built-in helper called search_page that simplifies paginating search results in web applications. The method returns a ResultsPage object carrying metadata such as total hit count, current page number, total page count, and a flag to determine when to hide the 'Next' button. Unlike manual slicing with results[20:30], search_page avoids common pitfalls like off-by-one errors and inaccurate totals, and it only computes enough of the result set to serve the requested page. If a user requests a page number beyond the available range, Whoosh automatically clamps it to the last valid page rather than returning an error or empty result. Developers are advised to render results inside the searcher context block, as hit data is tied to the active searcher instance.

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ProgrammingDEV Community ·

Why IT Transformation Programs Keep Paying for Systems They Declared Eliminated

A concept called 'dependency residue' describes the hidden costs that persist after a transformation program officially decommissions a system or platform. The problem arises because cost models track expenses along accounting boundaries — invoices, contracts, subscriptions — while actual dependencies run across identity, data, network, and operational layers that rarely align with budget lines. When a program declares something eliminated, it validates the claim against the cost model's boundary, not the dependency's, leaving service accounts, backup jobs, audit rights, and vendor obligations silently active. The pattern was first identified by Rack2Cloud within cloud repatriation scenarios, where compute workloads moved on schedule but identity and CI/CD layers remained anchored to the exited provider, keeping costs alive. The framework has since been generalized to apply to any transformation program that measures closure against a line item rather than the full dependency footprint.

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ProgrammingHacker News ·

Gen Alpha Uses 'That's So AI' as a Put-Down, Signaling Distrust of Artificiality

Among Generation Alpha, calling something or someone 'so AI' has emerged as a notable insult, reflecting the cohort's skepticism toward artificial or inauthentic content. The phrase signals that something lacks originality, genuine emotion, or human creativity. This linguistic trend offers insight into how the youngest generation is forming its cultural identity in contrast to the AI-saturated digital environment they are growing up in. The Guardian reported on this phenomenon in September 2026, exploring what the slang reveals about Gen Alpha's values and worldview.

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ProgrammingDEV Community ·

7 Agent Evaluation Mistakes That Wasted Weeks — And Their Simple Fixes

A software developer documented seven recurring mistakes in AI agent evaluation that collectively cost weeks of misdirected debugging. A key issue was a test suite showing 359 passing tests while the agent's actual pass rate was only 20%, because many tests contained no real assertions. In another case, a model scored perfect precision but near-zero recall by exploiting a reward function that paid for string overlap rather than correctness. Metrics appeared stuck not due to model limitations, but because of flawed denominators or misscoped reference pools — problems solved with single-line fixes rather than model retraining. The central lesson across all seven mistakes was that engineers repeatedly fixed the model when the actual fault lay in the measurement or evaluation infrastructure.

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ProgrammingDEV Community ·

Guide outlines how to build security-audited AI chat interfaces in TypeScript

A technical guide published on DEV Community details how frontend engineers can build production-grade AI chat applications in TypeScript that meet enterprise security standards. The article addresses growing threats such as prompt injection attacks, PII leakage, and supply chain vulnerabilities, which have raised the security bar for AI-facing interfaces in 2024. It walks through a full development lifecycle using Vercel's assistant-ui library alongside a Next.js backend-for-frontend proxy, ensuring LLM API keys are never exposed directly to the browser. Key steps covered include strict TypeScript configuration, dependency hygiene with pnpm, context sanitization, PII redaction, and automated security scanning. The guide targets compliance with frameworks such as OWASP Top 10 for AI, SOC 2, and ISO 27001.

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ProgrammingDEV Community ·

Obsidian Emerges as a Go-To Local Knowledge Base for AI Agents in 2026

Obsidian, a local markdown-based note-taking app, is gaining traction in 2026 as a personal knowledge management tool that integrates directly with AI agents like Claude Code. The app stores notes as plain Markdown files on the user's device, requires no cloud dependency, and has been free for commercial use since early 2025, making it attractive for privacy-sensitive workflows. AI plugins such as Smart Connections use Retrieval-Augmented Generation to let users query their entire note vault, while tools like Ollama enable fully offline AI interaction without data leaving the device. In January 2026, Obsidian CEO Steph Ango published the MIT-licensed 'obsidian-skills' repository on GitHub, which teaches AI agents to understand Obsidian's formatting conventions and quickly accumulated over 13,000 stars. A related open-source plugin, claude-obsidian, builds on this foundation by automatically generating linked wiki pages per source and maintaining context across sessions, reflecting a broader shift toward AI-augmented personal knowledge bases.

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ProgrammingDEV Community ·

WebAssembly Explained: Real-World Uses, Limits, and When to Skip It

WebAssembly (WASM) is a binary instruction format that serves as a compilation target for languages like C, Rust, and Go, allowing code to run in browsers at near-native speeds. It outperforms JavaScript for compute-heavy tasks such as numerical processing, cryptography, and media encoding, but offers no advantage for DOM manipulation or tasks already optimized by JavaScript's JIT compiler. Practical applications include running FFmpeg for in-browser video processing, executing SQLite databases locally, and encoding modern image formats like AVIF using codec libraries not yet natively supported by browsers. However, WASM comes with trade-offs: frequent calls across the JS/WASM boundary add overhead, large file sizes (FFmpeg's core weighs around 30MB) require careful lazy loading and caching strategies, and enabling multithreading demands specific HTTP security headers that can break third-party scripts. Developers are advised to treat WASM as a targeted tool for specific performance bottlenecks rather than a universal replacement for JavaScript.

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ProgrammingDEV Community ·

Backstage Evolves Into AI Hub for Developers, Used by 3,400+ Organisations

At KubeCon + CloudNativeCon Europe in Amsterdam in March 2026, the Backstage developer portal community held its fifth BackstageCon, highlighting the platform's significant evolution since Spotify open-sourced it in 2020. Originally built at Spotify in 2016 to manage hundreds of microservices, Backstage is now a CNCF incubation project used by over 3,400 organisations serving more than two million developers, commanding an estimated 89 percent share of the developer portal market. The platform's biggest shift in 2026 is its deep integration with AI, including Model Context Protocol (MCP) server support that allows AI coding agents like Claude Code and Cursor to directly access the Software Catalog, Templates, and documentation. A new catalog entity type called AiResource, introduced in v1.54, makes AI models and agents first-class citizens within the portal. Spotify reported that its internal AI Knowledge Assistant, connected via MCP, cut developers' time spent on answerable routine requests by 47 percent, underscoring the practical productivity gains of the AI-integrated approach.

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ProgrammingDEV Community ·

62 AI Models Face Shutdown by Year-End, but Most Lack Full Migration Details

A developer monitoring deprecation pages across 15 AI vendors has identified 62 models scheduled for removal between late September and late December 2026. The audit revealed that Google silently deleted a previously listed October 16, 2026 shutdown date for three Gemini 2.5 models with no changelog, banner, or notification of any kind. Of the 62 scheduled shutdowns, only one entry — OpenAI's gpt-5.4-cyber — provides both a named successor model and an announced deprecation date, giving users just 20 days' notice. By contrast, Anthropic publicly commits to a 60-day minimum notice period and AWS to six months, highlighting the inconsistency across vendors. The findings underscore the risk of relying on vendor deprecation pages that overwrite information rather than preserving a history of changes.

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ProgrammingDEV Community ·

Google Cloud Developer Plugin Helps AI Coding Agents Deploy to Cloud Without Errors

A new open-source plugin called google-cloud-developer equips AI coding agents like Antigravity CLI, Claude Code, and Codex CLI with curated Google Cloud skills and access to a Developer Knowledge MCP server. The plugin addresses common AI agent failures such as using outdated SDK calls, missing required permissions, and silently enabling billable APIs without user consent. It guides agents through the full cloud development lifecycle, including project setup, billing verification, IAM configuration, and deployment to Cloud Run. By connecting to the Developer Knowledge API in real time, the plugin ensures agents use current API syntax rather than deprecated libraries. The plugin can be installed with a single terminal command and is available via a public GitHub repository.

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ProgrammingHacker News ·

Hackers manipulate ChatGPT and Gemini into steering users toward scam sites

Security researchers have revealed techniques used by hackers to manipulate leading AI chatbots, including ChatGPT and Gemini, into directing unsuspecting users toward scam operations. The attack method exploits vulnerabilities in how these AI systems process and respond to certain inputs, effectively weaponizing them against their own users. By crafting specific prompts or injecting malicious instructions, bad actors can cause the AI to recommend fraudulent websites or services. The findings highlight a growing concern around the misuse of widely adopted generative AI tools for social engineering and financial fraud. Experts warn that as AI assistants become more embedded in daily life, their potential as a vector for scams poses a serious and evolving threat.

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ProgrammingDEV Community ·

Developer Tutorial: Build a Trello-Style Task Board Using React and TypeScript

A developer named Sadee has published a tutorial on DEV Community explaining how to build a drag-and-drop task management app similar to Trello or Jira. The project uses React, TypeScript, and Vite, with pnpm for package management, and relies entirely on the browser's native drag-and-drop API rather than third-party libraries. Key components include TaskCard.tsx for draggable task items, DropBox.tsx for handling drop targets within columns, and TaskCreateField.tsx for adding new tasks. The tutorial walks through using HTML drag events such as onDragStart, onDragOver, and onDrop, highlighting that calling event.preventDefault() during drag-over is essential for enabling drops. A companion video is available on the author's YouTube channel, codewithsadee, for those who prefer a guided walkthrough.

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ProgrammingDEV Community ·

Developer Builds Open-Source Campus Management System Using React and Node.js

A developer has built Maniesta Campus, a role-based campus management system designed for small colleges and coaching centers struggling with fragmented record-keeping. The platform provides separate dashboards for three user types — admins, faculty, and students — each with distinct access controls and functionality. The system was built using React, Node.js with Express, MongoDB, and JWT-based authentication, with Tailwind CSS handling the multi-dashboard UI. Role-based access control (RBAC) was implemented via middleware that verifies user tokens and enforces role permissions before any database interaction occurs. The project is live and aims to replace scattered spreadsheets and manual processes with a single, unified platform.

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ProgrammingDEV Community ·

Why Clinics Overhire Admin Staff: A Systems Design Perspective

Healthcare clinics frequently over-staff their administrative departments due to underlying systems design inefficiencies rather than genuine workload demands. The pattern mirrors common software architecture problems, particularly around poor integration between tools and workflows. These inefficiencies force human workers to fill gaps that better-designed systems could automate or streamline. The issue is relevant to developers who often build or evaluate internal tools for non-technical teams. Addressing these integration failures could allow clinics to manage patient records more effectively without expanding their administrative headcount.

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