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ProgrammingHacker News ·

Unreal Agent: Open-Source AI Agent Framework Lands on GitHub

Unreal Labs AI has published a project called Unreal Agent on GitHub. The repository appears to be an open-source framework related to AI agent development. The project was shared on Hacker News, where it received 6 points and 1 comment. Limited details are available from the submission, as the post primarily links to the GitHub repository. Further information about the project's capabilities and intended use cases would require reviewing the repository directly.

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ProgrammingDEV Community ·

Two Pointers Algorithm: How It Solves Sequence Problems in Linear Time

The Two Pointers pattern is an algorithmic technique that tracks two positions simultaneously within a sequence such as an array, string, or linked list. Instead of using nested loops that result in O(n²) complexity, the method moves two pointers according to defined rules, often reducing time complexity to O(n). The pattern applies to a range of problems including palindrome checks, duplicate removal, cycle detection in linked lists, and finding pairs in sorted arrays. Three common variants exist: opposite-end pointers, same-direction pointers, and fast-slow pointers, each suited to different problem types. A structured approach — defining the sequence, setting pointer positions, writing movement rules in plain English, and tracing examples before coding — helps apply the technique effectively.

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ProgrammingDEV Community ·

Fine-Tuning an 8B Model on 250 Security Examples Degraded Key Reasoning Skills

A small-scale experiment fine-tuned an 8-billion-parameter language model on fewer than 250 cybersecurity classification examples using consumer hardware, aiming to improve its ability to identify threat categories. While the fine-tuned model became more accurate at labeling threat types, it performed worse on harder tasks such as severity scoring and lifecycle-depth counting. The degradation aligns with established research on 'jagged' capability profiles, where narrow fine-tuning sharpens one skill while weakening adjacent reasoning abilities, an effect shown to be more pronounced in smaller models. The experiment also observed a scope-collapse failure, where the model incorrectly routed an unrelated weather query through its full security-analysis pipeline instead of declining it. These findings reflect known phenomena — including catastrophic forgetting and fine-tuning-induced behavioral drift — documented in recent 2025–2026 studies on supervised fine-tuning of small language models in specialized domains.

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ProgrammingDEV Community ·

How to Run Windows 10 or 11 as a Virtual Machine on Ubuntu Using KVM/QEMU

A detailed technical guide published on DEV Community explains how to install Windows 10 or 11 inside Ubuntu using KVM, QEMU, libvirt, and virt-manager, eliminating the need for dual-booting. The setup leverages hardware-assisted virtualization through Intel VT-x or AMD-V, along with VirtIO drivers, UEFI firmware, and SPICE display for improved performance. Windows 10 is used as the primary example, though Windows 11 requires additional virtual hardware including TPM 2.0 and Secure Boot-capable UEFI. Notably, Windows 10 reached end of support on October 14, 2025, making Windows 11 the recommended target for new virtual machines going forward. The guide covers the full setup process, from hardware checks and package installation to snapshots, USB passthrough, file sharing, and performance tuning.

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ProgrammingHacker News ·

Discord Updates Age Verification System to Better Protect Teen Users

Discord has announced updates to how it verifies the age group of its users, aiming to create a safer environment for teenagers on the platform. The changes are designed to distinguish between teen and adult users more reliably, allowing age-appropriate content controls to be applied. The initiative reflects growing pressure on social media and communication platforms to better protect younger audiences online. While the experience for adult users is intended to remain largely unchanged, teens will face stricter content filtering based on their verified age group.

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ProgrammingDEV Community ·

Why Your Invoice Number Should Come From a Log, Not a Spreadsheet Cell

A common Google Sheets invoicing setup reads the invoice number directly from a cell, but this approach carries serious risks. If a user clicks the send button twice, two different clients can receive PDFs sharing the same invoice number, with no error triggered. The script can also fail mid-run — after sending the email but before writing the log row — leaving a sent invoice with no record in the ledger. Beyond technical glitches, tax regulations in many jurisdictions require invoice numbers to form an unbroken, auditable sequence, which a manually editable cell cannot guarantee. The proposed fix shifts number generation to the Log tab itself, using a function that parses existing entries and issues the next sequential number, eliminating race conditions and re-run ambiguity.

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ProgrammingDEV Community ·

How to Set Up Inngest for Background Jobs and Workflows in Next.js with TypeScript

Inngest is an event-driven platform that allows developers to run background jobs and durable workflows without building or maintaining custom queue infrastructure. It handles common challenges in Next.js API routes such as timeouts, retries, failed API calls, and multi-step workflows. A practical guide demonstrates setting up Inngest from scratch in a TypeScript Next.js project, using a user signup flow as the working example. When a user signs up, an event is published and Inngest triggers a function that fetches the user, sends a welcome email, syncs with an external system, and delivers a follow-up after a delay. Each step in the workflow gains built-in retryability and durable execution, making Inngest suitable for tasks like email delivery, file processing, CRM synchronization, and scheduled jobs.

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ProgrammingDEV Community ·

Developers Can Build Lean RAG Pipelines Using Go and Gemini File Search API

A new approach to Retrieval-Augmented Generation (RAG) eliminates the need for dedicated vector databases by leveraging Google's Gemini File Search API. The tool allows the model to handle chunking, embedding, and retrieval internally across unstructured files such as PDFs, DOCX, and TXT formats. Paired with Go's concurrency model and type safety, developers can build production-grade RAG pipelines without managing vector indexing, schema migrations, or additional infrastructure. The method reduces ingestion latency and simplifies architecture by treating the uploaded file itself as the source of truth. However, the approach is best suited for unstructured document retrieval and is not a replacement for structured databases requiring complex joins or precise numeric filtering.

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ProgrammingDEV Community ·

How to Migrate a Website in 2026 Without Losing Search Traffic

Website migrations — including rebuilds, domain changes, and URL restructuring — can silently erase years of search visibility, with traffic drops often appearing weeks after launch. Experts identify an incomplete redirect map as the leading cause of post-migration traffic loss, stressing that every valuable URL must resolve via a single permanent redirect to its closest equivalent on the new site. Building a full URL inventory requires merging data from site crawls, Google Search Console, server access logs, and backlink reports, as no single source captures the complete picture. Redirect chains, homepage catch-alls, and unresolved HTTP or subdomain variants are flagged as common technical pitfalls that dilute link equity and confuse search engines. Additional elements requiring attention after migration include canonical tags, hreflang attributes, and any stale internal references still pointing to old URLs.

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ProgrammingDEV Community ·

CSS Positioning Explained: How Static, Relative, Absolute, Fixed and Sticky Work

A senior developer guide published on DEV Community breaks down all five CSS position values using a real-world fashion e-commerce storefront as a practical example. The article explains why common frustrations — such as elements flying off-screen or z-index failing to stack correctly — stem from misunderstanding how browsers calculate coordinates and stacking contexts. It covers key rules, including why static elements ignore offset properties and why position: relative should serve as an anchor rather than a nudging tool. The guide also details how position: absolute removes an element from document flow and searches up the DOM for the nearest non-static ancestor. The tutorial aims to move developers beyond isolated box exercises toward solving real production layout problems.

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ProgrammingHacker News ·

Developer Explores Tokyo Virtually Through Google Maps Street View

A software developer has taken up an unusual pastime of virtually wandering the streets of Tokyo using Google Maps Street View. The hobby involves exploring the city's neighborhoods, alleys, and landmarks from a remote location without physically traveling there. The developer shared their experience in a personal blog post, describing the meditative and exploratory appeal of the activity. The post gained modest traction on Hacker News, attracting points and reader comments. Virtual tourism via mapping tools has grown in popularity as an accessible way to experience foreign cities.

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ProgrammingDEV Community ·

Deep Linking Now Possible in Power Apps Code Apps via Query String Workaround

Deep linking in Microsoft Power Apps Code Apps was previously considered nearly impossible due to how the platform hosts applications inside an iframe, preventing browser URL updates during navigation. A workaround was identified after developer Diana Birkelbach shared an approach revealing that Power Apps forwards query string parameters from the host page URL into the embedded application. These parameters can be accessed at runtime using the Power Apps context API and mapped to specific React Router routes on startup. Developers can define deterministic route conventions, read the query parameters during app initialization, and navigate to the correct route accordingly. This method also allows generating shareable deep links at runtime, enabling features like 'Open in New Tab' or 'Copy Link' buttons within the app.

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ProgrammingDEV Community ·

How a Minimal Web Components Model Helps AI Coding Agents Work Effectively

A developer series on using @relax.js/core with AI coding agents explains a deliberately concise mental model for working with native Web Components. The approach relies on plain HTMLElement extension, native lifecycle methods, and customElements.define, avoiding base classes or decorators to keep the codebase grep-friendly. A key pitfall highlighted is that type-only imports cause the bundler to skip module execution, leaving custom element tags undefined at runtime. The author also clarifies that marking connectedCallback as async is silently ignored by browsers, so async work must be initiated separately and allowed to update the DOM on completion. The model avoids reactive state entirely, opting for direct DOM updates at the exact point data changes.

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ProgrammingDEV Community ·

Codename One Adds Cross-Device Continuity and Native Drag-and-Drop Support

Open-source framework Codename One has introduced two new features this week: cross-device continuity and native drag-and-drop functionality for apps built from a single Java or Kotlin codebase. The continuity feature allows users to seamlessly resume tasks — such as editing a draft — across different devices or screens without losing progress. It works by serializing navigation routes and application state through a StateProvider interface, supporting Apple Handoff, iCloud, and custom application-defined relays. Native drag-and-drop enables content to be shared between applications via the operating system, offering an alternative to copy-paste workflows. Developers are advised to keep state payloads small and avoid storing sensitive credentials, as restored routes identify work but do not bypass authentication checks.

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ProgrammingDEV Community ·

Developer builds Rust-based web layer Svipall after silent bot-wall bug misled AI agents

A developer discovered that AI agents were silently receiving browser challenge pages instead of actual article content, with every layer reporting success despite the wrong page being fetched. The root problem was that no component in the pipeline checked whether the returned page was the one actually requested, causing AI models to summarize bot-wall interstitials as real content. To fix this, the developer built Svipall, a local-first web-fetching layer written in Rust, which classifies blocked responses and attaches structured evidence explaining why a fetch was flagged. Svipall uses a tiered escalation system ranging from bare HTTP requests to stealth browser automation, with measured success rates of 26 out of 31 on public targets but only 3 out of 8 against commercial anti-bot vendors. The developer openly published raw logs including failed attempts, and clarified that the tool is intended for research use and does not bypass authentication or paywalls.

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ProgrammingDEV Community ·

Mado Terminal Multiplexer Launches Public Beta with Sidebar Plugins and TOML Config

Mado is a new open-source terminal multiplexer designed as a more user-friendly alternative to tmux for everyday local development. Unlike traditional multiplexers, Mado adds a sidebar that runs independent plugins — including a Pomodoro timer, clipboard manager, and AI assistant — without interrupting terminal work. Configuration is handled through a single TOML file opened via one command, and 22 built-in themes based on Tailwind colour palettes can be switched with a single line. The tool also automatically saves and restores session layouts, including pane positions, working directories, and scroll positions, eliminating manual session management. Mado is currently macOS-only and entered public beta on October 1st, with Linux and Windows support planned for the future.

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ProgrammingDEV Community ·

TypeSafe Launches Jev, an AI Model That Returns Probabilities Instead of Text

TypeSafe released Jev on September 15, 2026, describing it as a 'System One' AI model designed for fast, deterministic classifications rather than conversational responses. Instead of generating text, Jev accepts a state object and a list of structured questions, returning a probability score between 0 and 1 for each query in a single parallel pass. The model supports three answer primitives — noul (yes/no probability), choice (categorical selection), and score (ordered rubric) — and delivers responses in 70 to 500 milliseconds. Pricing is set at $42 per billion input tokens, with output tokens provided free of charge. One developer used Jev to automate pull request reviews, sending six simultaneous questions per request and using the returned probabilities to programmatically assign pass, review, or block verdicts.

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ProgrammingDEV Community ·

Keep AI Agent Config Files Lean by Indexing Conventions, Not Pasting Them

Developers using AI coding agents often bloat their AGENTS.md files with hundreds of lines of rules, consuming valuable LLM context tokens on every single task. A more efficient approach is to keep AGENTS.md as a slim index that references separate documentation files, so the agent only loads the specific conventions relevant to each task. For teams using multiple agents like Claude Code alongside others, a symlink between CLAUDE.md and AGENTS.md ensures both tools always read from a single source of truth, preventing rule drift. In monorepo setups, placing an AGENTS.md in each subfolder allows agents to inherit shared rules while also picking up stack-specific guidelines. The core principle is treating AGENTS.md as a context budget rather than full documentation, keeping rules detailed without inflating per-task token costs.

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