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ProgrammingHacker News ·

Awesome-Jev: Open-Source Curated List of Jev Demos, Tools, and Integrations

A developer named Amal David has published an open-source repository on GitHub called 'awesome-jev'. The project serves as a curated collection of Jev-related demos, tools, skills, and integrations shared on X (formerly Twitter). The repository follows the popular 'awesome list' format commonly used in the open-source community to aggregate resources around a specific technology. The project gained modest traction on Hacker News, receiving 20 upvotes at the time of posting. No community comments had been submitted on the Hacker News thread as of publication.

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ProgrammingDEV Community ·

GitDiagram Tool Converts Any GitHub Repo URL into a Visual Structure Map

A simple online tool called GitDiagram allows developers to generate visual diagrams of any GitHub repository's structure. Users can access it by replacing 'github.com' with 'gitdiagram.com' in any repository URL. The tool requires no installation or sign-up, making it immediately accessible. It is particularly useful for developers trying to understand the layout of an unfamiliar codebase, such as a new TypeScript project.

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ProgrammingDEV Community ·

CISA Flags Zyxel GS1900 Switch Flaw CVE-2026-7273 as Actively Exploited

A critical stack-based buffer overflow vulnerability, CVE-2026-7273, affects multiple Zyxel GS1900 series managed switches, allowing an unauthenticated attacker on the local network to execute arbitrary OS commands via a crafted HTTP request to the web management interface. CISA added the flaw to its Known Exploited Vulnerabilities catalog on September 21, 2026, confirming active exploitation in the wild. Scored 8.8 out of 10 under CVSS 3.1, the vulnerability gives attackers control over VLAN configurations, port mirroring, routing, and stored credentials, effectively dismantling network segmentation. Ten GS1900 models running firmware version 2.90(x.1)C0 or earlier are affected, with Zyxel having released patched firmware (2.90(x.2)C0) for each. Administrators are urged to apply the fixed firmware immediately using download links provided in Zyxel's official security advisory.

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ProgrammingDEV Community ·

Study of 542 failed mental health startups reveals seven recurring failure patterns

A new analysis examined 542 digital mental health companies that exited the market between 2000 and 2026, coding each on up to 18 fields including business model, funding, clinical evidence, and reason for closure. The research was prompted by high-profile failures like Pear Therapeutics, which collapsed in 2023 despite FDA clearance because no health plan agreed to reimburse its product, having once been valued at $1.6 billion. Data was drawn from sources including Crunchbase, CB Insights, and trade press, with every company verified against at least two independent sources. Around 58% of the companies in the sample are from the United States, meaning the findings most accurately reflect the English-speaking digital health market. The study was conducted by the founders of Mentalium, a voice-based CBT diary app, who undertook the research before committing further resources to the mental health technology space.

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ProgrammingDEV Community ·

How One Senior Engineer Stopped an AI-Generated DELETE From Hitting Staging

During a paired coding session, a junior engineer used an AI coding assistant to generate a billing API client, trusting it to behave like a live caller. The senior engineer reviewed the assistant's transcript instead of the generated code, discovering an uninstructed DELETE verb targeting a /v2/purge path. The pair established a strict gate: a JavaScript allowlist checker that reads intended requests against permitted method-path templates and exits with a non-zero code if any call falls outside the list. They also confirmed that appending ?dry_run=true offered no real protection, as the billing API's public documentation showed no dry-run support for destructive routes. The session concluded that AI-generated HTTP output must be treated as text to be verified, not as a trusted network caller, and that allowlists in code files outweigh any safety promises made inside a chat window.

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ProgrammingDEV Community ·

Developer Tests pdlc-skills Loop Engine by Shipping Three Features in 88 Minutes

A software developer used the pdlc-skills AI-assisted development loop to build three parallel features for a personal console project, completing all of them in 88 minutes. The three features — cross-node review, origin filtering, and benchmark flags — ranged between 800 and 1,500 lines of diff each and were managed through a coordinating AI session alongside automated subprocesses. Work was split using three rules: separating features by code dependency, sizing each to fit a three-step TDD-implement-review cycle, and avoiding shared file edits across parallel branches. The last rule was violated, as all three features touched the same receipt-aggregation module, causing merge conflicts that added roughly ten extra minutes. After passing a quality gate, the release was deployed to two machines, with the project starting from a baseline of 421 unit tests, 52 end-to-end cases, and 89.6% code coverage.

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ProgrammingDEV Community ·

ntfy 2.28 lets you run a private push notification server via Docker

ntfy is an open-source, self-hosted push notification server that lets users send alerts directly to their phone or browser without relying on third-party services like Pushover or Telegram. Version 2.28 can be deployed in minutes using Docker behind a Traefik reverse proxy, secured with HTTPS under a custom domain. Notifications are triggered by a simple HTTP POST request from any script, cron job, or monitoring tool, with no SDK or API library required. The server is configured with credential-based access and a deny-all default policy, ensuring only authorised users can send or receive messages. Because all data remains on the user's own infrastructure, ntfy is positioned as a privacy-focused alternative to commercial push notification platforms.

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ProgrammingDEV Community ·

WordPress 7.1 Adds Client-Side Image Processing But Skips True Optimization

WordPress 7.1 introduces client-side media processing, using a WebAssembly tool called wasm-vips to handle image compression and thumbnail generation in the browser before files reach the server. This change addresses a longstanding issue where large image uploads would exceed server memory limits or time out, particularly on shared hosting. However, the feature applies a single fixed quality setting to all new uploads and does not affect images already in the Media Library. It also lacks automatic WebP or AVIF format delivery, CDN support, and per-image quality analysis. Users who need comprehensive image optimization for page speed performance will still require a dedicated third-party plugin.

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ProgrammingDEV Community ·

How to Self-Host Matomo Analytics on Docker for GDPR-Compliant, Cookieless Tracking

Matomo, an open-source web analytics platform, can be self-hosted on a personal server to collect visitor data without sending it to third parties like Google. Version 5.13 of Matomo can be deployed using Docker and Docker Compose, paired with a MariaDB 11.4 database, behind a Traefik reverse proxy with HTTPS. The setup enables IP anonymization and cookieless tracking, which data protection authorities cite as a basis for operating without a user consent banner under GDPR. All analytics data — including visitor counts, geographic origin, device types, and popular pages — remains exclusively on the operator's own server. The guide notes this is not a substitute for legal advice, and whether a consent banner is required ultimately depends on the specific use case.

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ProgrammingHacker News ·

Apple Faces Backlash Over Persistent In-System Ads Added to iOS

Apple has introduced what users are describing as persistent advertisements within iOS, prompting widespread frustration among iPhone users. The promotions appear to be built into the operating system itself, making them difficult for users to dismiss or avoid. The move has drawn significant criticism from the Apple user community, who feel the ads are intrusive and out of character for a premium platform. Many users have taken to online forums to voice their dissatisfaction with the change. The development raises broader questions about Apple's approach to in-platform monetization on its mobile operating system.

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ProgrammingDEV Community ·

Pre-Launch Checklist: How to Instrument and Test a Support Chatbot Right

Shipping a support chatbot without proper preparation can lead to hard-to-debug failures, since real user behaviour is far messier than controlled test environments. Developers should ensure distributed tracing across all services — including authentication, API gateways, retrieval, and model providers — using shared request and trace IDs. Conversation logs must be handled carefully to avoid storing sensitive customer data such as payment details or personal information unnecessarily. Test sets should be built from real support queries and cover edge cases like misspellings, multi-turn exchanges, out-of-scope requests, and prompt injection attempts. Versioning the evaluation set is essential so that changes to prompts or models can be reliably assessed rather than guessed at.

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ProgrammingHacker News ·

Study Explores How Quantum Information Spreads Through Higher-Order Correlators

A research paper published on arXiv investigates the mechanisms by which quantum information spreads in physical systems. The study focuses on higher-order operator correlators as a framework for understanding this phenomenon. Such research is relevant to fields like quantum computing and quantum chaos, where information scrambling plays a key role. The paper aims to provide a more detailed mathematical description of how quantum information propagates across a system over time.

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ProgrammingDEV Community ·

Why Client Timeouts Should Trigger In-Doubt Leases, Not Immediate Retries

A software engineer analyzing agent planner logs discovered that a client-side timeout followed by an immediate tool-call replay caused duplicate side effects within the same conversation session. The root issue is that a client timeout is not a confirmed abort — the original call may still complete on the server side, as happened four seconds after the client gave up. To prevent duplicate writes, the engineer proposes that any side-effecting tool result should only be committed when three tokens match: a lease ID, an idempotency key, and a conversation epoch. Under this design, a timeout should place the call in an IN-DOUBT state and trigger a recovery path — commit, compensate, or reject — rather than blindly replaying the payload. The proposal is a design pattern aimed at shared remote executors where slot reuse and late delivery make duplicate execution a structural default, not an edge case.

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ProgrammingDEV Community ·

How AI silently fills code gaps when requirements are ambiguous

When AI tools generate code from vague specifications and limited examples, they quietly make undocumented assumptions to fill logical gaps — without flagging them. Engineers at knopfdruck.ai discovered this after realising their AI had implemented calculation rules that differed from what was actually intended, even though all tests passed. The core problem is that a brief description plus sample data does not define a single rule, but a family of rules that all fit the samples equally well. Their fix was to require the AI to articulate its interpretation in plain prose before writing any code, iterating until the AI's understanding matched the intended logic. Tests are then built from the agreed rule rather than just the original samples, ensuring edge cases are covered and hidden decisions are surfaced early.

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ProgrammingDEV Community ·

OpenSparrow v3.8 Adds Gantt Roadmap Module and Revamped Record Grid

OpenSparrow version 3.8 has been released, introducing a Roadmap module that renders any existing schema table as a read-only Gantt timeline without requiring new database objects or migrations. The module, accessible via Admin → Data Management → Roadmap, supports multiple roadmaps with category color filters, milestone markers, and per-roadmap bar colors, all configured through the existing spw_config store. Access control integrates with the platform's existing per-user scope model, and the CRM demo dataset has been updated with a sample projects table to help users get started quickly. The record grid received a visual overhaul, replacing zebra striping with cell-level borders and a spreadsheet-style layout for easier column scanning, while enum dropdowns now use server-side YIQ contrast to ensure readable text colors. Additional changes include a relocated sidebar toggle, refreshed branding assets, reduced favicon file size, and bug fixes across admin module documentation and locale strings.

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ProgrammingDEV Community ·

How to Track Zora Creator Rewards on Base Without an Indexer

Zora's onchain reward system on Base distributes payouts to creators, platforms, and trade referrers with every coin trade, but the platform's REST API does not expose these figures. Since Zora migrated to Uniswap V4 in mid-2025, reward events such as CoinMarketRewardsV4 and CreatorCoinRewards do not index recipient addresses, making standard Ethereum log filters ineffective for isolating personal payouts. Developers must instead fetch all reward events across a block range via raw JSON-RPC calls, decode the data fields manually, and filter locally for their own address. A secondary event, CreatorCoinRewards, is easy to overlook but accounts for roughly a third of all payouts and nearly half of creator earnings on a given day. Ignoring it leads to a significant undercount of what creators have actually earned.

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ProgrammingDEV Community ·

How Object-Oriented Programming Simplifies Complex Inventory Management

A developer building a kiosk inventory system with just three items — bread, milk, and sugar — initially used dictionaries and standalone functions to manage stock, pricing, and restocking. As the complexity of such systems grows, this approach becomes unwieldy, prompting the use of Object-Oriented Programming (OOP). OOP organizes code by grouping related data and actions into objects defined by blueprints called classes, which specify attributes and methods available to their instances. Key OOP concepts include the __init__ method for assigning individual object data, and the use of 'self' to ensure each object correctly references its own attributes. This structure prevents mismatched data — such as assigning the wrong price to the wrong inventory item — and makes large-scale programs easier to manage and scale.

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ProgrammingDEV Community ·

Dev builds smart release tracker that classifies versions beyond standard SemVer rules

A developer is publicly building a release tracker that helps developers identify which version updates in their stack actually require attention. The tool assigns each release one of four categories — Spotlight, Latest, Digest, or Preview — using project-specific classification strategies rather than a one-size-fits-all approach. It accounts for versioning quirks such as TypeScript skipping stable x.y.0 releases, Node.js distinguishing LTS even-numbered majors from odd ones, and zero-versioned libraries where minor bumps act as breaking changes. Each classification strategy is implemented as a pure TypeScript function with no side effects, and manual overrides handle remaining edge cases. The project plans to add AI-generated summaries for important releases, including a verdict on whether an upgrade is safe or requires action.

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ProgrammingDEV Community ·

Big-O Notation Demystified: A Practical Guide for Everyday Coders

A developer tutorial published on DEV Community breaks down Big-O notation — a standard measure of algorithm efficiency — using plain language and short Python examples. The guide explains three core complexities: O(1) for constant-time operations, O(n) for linear growth, and O(log n) for the highly efficient binary-search pattern. It then demonstrates real-world impact by comparing two duplicate-detection functions, where switching from a list to a set reduces complexity from O(n²) to O(n). The practical takeaway is that small data-structure choices can dramatically affect performance as input size scales. The article aims to make algorithmic thinking accessible to developers who find traditional computer science explanations intimidating.

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ProgrammingDEV Community ·

How to collect Airbnb listing and price data without a public API using Python

Airbnb has never offered a public API for listing or pricing data, leaving developers with limited options such as static datasets or paid analytics platforms. A third approach involves collecting public Airbnb search results programmatically using a cloud-based scraping tool called an Apify Actor. The tool works around Airbnb's 270-listing search cap by splitting queries into sub-queries by price band and other filters, a method the developer calls 'exhaustive mode'. In a test run for Porto, Portugal, the script retrieved 300 unique listings in about 50 seconds at a cost of roughly $0.36, capturing fields like nightly price, ratings, and coordinates. Users are cautioned that Airbnb's terms restrict automated access, and that truncated runs can produce skewed data unless maxItems is set high enough to capture all results.

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