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ProgrammingDEV Community ·

Why Enterprise Software Is Bad — And How AI Could Finally Fix It

Most large enterprises run on outdated, frustrating internal software, not because their engineers lack skill, but because the business incentives rarely justify fixing it. Executives struggle to approve costly refactors that yield no new revenue, customers, or marketable features. Compounding the problem, internal users — unlike paying customers — cannot switch to a competitor, removing the usual market pressure to improve quality. Over time, teams prioritise shipping new features over addressing technical debt, leaving systems that technically function but quietly drain employee productivity every day. Emerging AI-assisted development tools are now shifting this calculus, potentially making it economically viable to modernise legacy enterprise software at last.

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ProgrammingDEV Community ·

DevRecap: Open-Source Tool Reconstructs Developer Work Beyond Git History

A developer has built and open-sourced DevRecap, a Codex Skill designed to reconstruct a more complete picture of what a developer actually worked on during a given period. The tool pulls from explicitly authorized local sources — including Codex session history and Git logs — to generate structured activity reports covering standups, investigations, and workstreams. A core design principle keeps factual reconstruction separate from AI-generated narrative, so that file edits or investigations are not automatically overstated as completed features. DevRecap operates on an explicit-invocation model, with no background monitoring, and provides read-only Git access to protect developer privacy. The tool is now available via the OpenAI Plugins Directory and GitHub Marketplace, with the source code published at github.com/jquinteiroo/devrecap.

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ProgrammingHacker News ·

dbtCharts Introduces Charting Tool Designed for Chat-Based Interfaces

dbtCharts has published a blog post introducing a charting solution built specifically for use within chat environments. The tool aims to make data visualization more accessible and functional in conversational interfaces. The announcement was shared on Hacker News, where it received 21 points and prompted a small discussion. The product addresses a growing need for lightweight, embeddable charts that work seamlessly in messaging or AI-driven chat contexts.

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ProgrammingDEV Community ·

Anthropic's 5th-Gen Models Prompt Better With Explicit Contracts and Context

DEV Community has published a practical guide outlining updated prompting best practices for Anthropic's fifth-generation models, including Claude Sonnet 5, Opus 5, and Haiku 5.1. The guide is aimed at cloud engineers and emphasizes providing reasons behind instructions rather than bare rules, and defining explicit output contracts instead of vague requests. Other key recommendations include capping task complexity to prevent over-engineering, placing reference documents before questions in long-context prompts, and using examples to demonstrate style rather than describing it in prose. The guide also advises against including verification scaffolding in prompts and suggests softening overly directive tool-use language inherited from earlier prompt patterns. A full reference document is available via the original DEV Community post.

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ProgrammingDEV Community ·

Developer Guide: Building a Gemini AI Assistant for Android XR Smart Glasses in Kotlin

A technical tutorial published on DEV Community outlines how to build a production-ready AI assistant for Android XR smart glasses using Kotlin and Google's Gemini backend. The architecture separates device-specific XR and wearable APIs from core business logic, using a layered folder structure to isolate SDK changes. The guide covers voice input processing, AI response generation, and audio or projected XR output, with structured concurrency via Kotlin coroutines to avoid blocking the main thread. It also addresses key concerns such as error handling, security best practices, and performance metrics including network and AI latency. Developers are advised to follow current Android XR and Jetpack XR documentation closely, as the relevant APIs are still evolving.

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ProgrammingHacker News ·

Insufficient source content to report accurately

The provided article contains no substantive text beyond a URL and metadata. No facts about the alleged firm, the nature of the hacking scandals, or the companies involved are present in the source. Reporting on this item would require inventing details not found in the original material. This item cannot be responsibly summarized without additional verified content.

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ProgrammingDEV Community ·

Developer Seeks 5 Frontend Testers for Open-Source JavaScript Date Components

A developer building RollDate, a family of MIT-licensed JavaScript date and calendar components, is recruiting five frontend developers to test the library in real or realistic projects. The call covers two packages: RollDate Core, a scroll-based date and time picker, and RollDate Events, an event calendar supporting Month, Week, Day, and Agenda views. Testers are asked to attempt a genuine integration using their own framework, bundler, and use case, then document the first point of friction rather than offering general praise. The developer is specifically seeking critical findings — including bugs, confusing API design, and documentation gaps — to shape the project's roadmap before paid features are added. Both packages are free and available on npm, and participants need only commit around 30 to 60 minutes for a single focused integration attempt.

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ProgrammingDEV Community ·

How a 9-Agent AI Pipeline Delivers Working Code in Under 4 Minutes at Scale

A development team built a nine-agent AI pipeline capable of converting a natural language use case into working code, an interactive preview, and implementation documentation in under four minutes. The system serves 800 to 1,000 users daily, with each request originally consuming around 30,000 tokens and triggering 15 to 20 model calls. Engineers divided the workflow into specialized agents — covering analysis, code generation, evaluation, refinement, and documentation — each assigned a narrow role with defined inputs and outputs to isolate failures and improve reliability. Two stages, a Schema Validator and a Documentation Builder, were implemented as deterministic programs rather than AI calls, eliminating two potential hallucination sources and reducing token use to zero for those steps. The core lesson drawn is that production-grade multi-agent systems depend not on adding more agents, but on clearly distinguishing which tasks require AI reasoning versus which are better handled by conventional software logic.

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ProgrammingDEV Community ·

HTB Tactics Walkthrough: Windows SMB Box Compromised via Blank Admin Password

A Hack The Box (HTB) challenge named 'Tactics' presented a Windows machine accessible over a network. Nmap scanning revealed open ports 135, 139, and 445, confirming the target was running the SMB protocol. The attacker used the Impacket tool 'impacket-psexec' to attempt remote shell access over SMB. Surprisingly, the Administrator account was found to have no password set, allowing immediate authentication without any credential cracking. The challenge flag was then retrieved directly from the Administrator's Desktop directory.

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ProgrammingDEV Community ·

Beginner's Guide to Dependency Injection in ASP.NET with C#

A new tutorial on DEV Community walks beginners through implementing Dependency Injection (DI) in an ASP.NET application using C# and .NET 10 or later. DI is a design pattern where a class receives its dependencies from external sources rather than creating them internally, replacing hardcoded object instantiation. The guide covers the three service lifetime types offered by Microsoft.Extensions.DependencyInjection — Singleton, Scoped, and Transient — and demonstrates registering a scoped service in the application builder. A simple example service is built and injected into a controller via constructor injection, with the response time measured and returned to the user. The tutorial is part of an ongoing series that will later cover databases and clean architecture.

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ProgrammingHacker News ·

US Coal Identified as Top Driver of Rising Global Emissions

US coal has been identified as the single largest contributor to the recent increase in global greenhouse gas emissions. The finding highlights the outsized role American coal consumption and production plays in worsening climate change. This comes amid ongoing debates over energy policy and the future of fossil fuels in the United States. The data underscores the significant gap between US coal's impact and that of other emission sources worldwide. Analysts suggest that addressing US coal use could be a critical lever in efforts to curb global emissions growth.

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ProgrammingDEV Community ·

How to Model Airtime, Data, and Bundle Products Without a Bloated Schema

Building a prepaid recharge platform requires a product schema that goes beyond a simple amount-and-currency pair, as modern catalogues include data bundles, voice minutes, SMS packs, and combo deals. A practical approach separates purchase price from recipient value, since a £10 payment does not always mean the customer receives £10 worth of airtime. Using an explicit product_type field and a normalized allowances table allows multiple attributes — such as data volume, voice minutes, and SMS counts — to be stored without adding nullable columns for every new bundle type. Validity periods should be stored as structured data fields rather than buried in description text, enabling sorting, user warnings, and analytics. External provider IDs should be retained as reference data but kept separate from the platform's own primary identifiers to maintain clean application logic.

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ProgrammingDEV Community ·

Developer Self-Attacks AWS API to Expose Cloud Security Gaps, Documents Every Step

A developer built and deliberately attacked two versions of a serverless Todo API on AWS to demonstrate real-world cloud security vulnerabilities. The experiment was conducted in compliance with AWS's penetration testing policy, which allows users to test infrastructure they own without prior authorization. One API version had no security controls, while the other was hardened as it would be for a production client, with both sharing the same basic architecture of API Gateway, Lambda, and DynamoDB. The first attack demonstrated enumeration, where an unauthenticated request to the vulnerable API returned every record in the database due to an unfiltered table scan and missing authentication. The developer published all code, Terraform files, and attack scripts on GitHub to help others understand that cloud security depends on what users build on their side of AWS's Shared Responsibility Model.

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ProgrammingDEV Community ·

Why ATS Keyword Checkers Flag Skills You Already Have — And How to Respond

Many popular ATS keyword checker tools flag resume skills as 'missing' because they perform simple string matching rather than understanding language variations like synonyms, plurals, or word order differences. For example, writing 'analyzed sales data' may be flagged as lacking 'data analysis' even though the meaning is identical. Actual recruitment platforms such as Workday, Greenhouse, and Lever are generally more sophisticated than these third-party checkers, making many of their warnings false alarms. Experts advise job seekers to check whether the underlying skill or concept is present rather than obsessing over exact phrasing, and to align wording with the job posting only once where genuinely applicable. The ultimate priority should be writing a resume that reads naturally for human recruiters, since a keyword-stuffed document may clear automated filters but fail to impress the person making the hiring decision.

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ProgrammingDEV Community ·

Developer Builds Ada Lovelace AI Tool to Generate Personalized Code Compliments

Developer Mike Cramblett has launched Ada Loves Code (ALC), an open-source tool that uses an Augusta Ada Lovelace persona powered by AI to inspect code repositories and generate personalized "Certificates of Poetical Science." The project, remixed from his earlier hackathon entry HypeBESTIE using Google AI Studio, aims to provide developers with meaningful, bespoke recognition beyond generic praise. Cramblett was motivated by his own experience of sharing work online for over a year with little engagement, and wanted to address the silence many developers face after publishing projects. To demonstrate the tool, he browsed recent weekend challenge posts, identified low-visibility entries, and used ALC to generate and post personalized certificates directly in their comment sections. The initiative reflects his broader belief that developer communities can cultivate a more generous, substantive peer-review culture online.

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ProgrammingDEV Community ·

Developer Builds Voice-Controlled AI Coding Tool to Work While Walking Outside

Software developer Benoit Hirbec created Squad33, a macOS app that lets users control AI coding agents entirely by voice, after chronic back pain in March 2026 forced him to find an alternative to desk-based work. The tool uses Whisper for transcription on a Mac, routing spoken instructions to Claude Code or Opencode, with responses read aloud through earbuds on a paired phone. This setup allows Hirbec to dictate tasks during outdoor walks, with AI agents handling development work in parallel git worktrees while he moves on to the next feature. He reports that listening to agent output is less mentally draining than reading it at a screen, and that voice input removes the keyboard fatigue that often limits detail in written prompts. Squad33 is currently available as a free macOS beta and works with existing Claude Code or Opencode subscriptions rather than providing its own model access.

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ProgrammingDEV Community ·

Teen Developer Warns Against Over-Reliance on AI Coding Tools

Ícaro Teles, a 14-year-old Brazilian developer, has shared his concerns about how AI is being used in the programming community in 2026. Having started in tech at age eight, he claims that roughly 90% of programmers have shifted toward 'vibecoding,' a practice of relying on AI to generate code without deeper understanding. He argues that while AI is a valuable tool, it should primarily serve as a learning aid rather than a shortcut for copying and pasting solutions. His post invites the broader tech community to reflect on whether current AI usage habits are helping or hindering genuine skill development.

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ProgrammingDEV Community ·

How to Build a Production-Ready Weather App with React and TypeScript

A developer has shared architectural lessons from building a resilient, production-grade weather application using React and TypeScript. The project goes beyond a basic tutorial by implementing type-safe API data flows to prevent runtime crashes from inconsistent location responses. State management is handled through TanStack Query, cleanly separating UI states such as loading, errors, and cached data. A custom debounced geocoding hook with in-memory caching reduces unnecessary network requests during user searches. API logic is also isolated into a dedicated service layer, keeping UI components purely presentational and easier to test.

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ProgrammingDEV Community ·

Bug Fix Stops Internal Code Fragments From Leaking Into GitHub Issue Titles

A recurring defect in an automated task system caused raw internal checklist and prompt scaffolding — such as fragments like '#2637/brand#16' — to appear as GitHub issue and pull request titles instead of meaningful human-readable labels. The bug originated in a function called make_issue_title within tasks/issue_title_builder.py, where boundary logic validated only that a string was present and the API call succeeded, not that the resulting title was useful to a human reviewer. Because API requests completed without errors, the failure produced no crashes or alerts, making it easy to overlook during normal development workflows. The fix restructures the boundary logic to source titles from the task's description field — the canonical human-facing label — and flags any checklist- or prompt-shaped strings as leakage even when they are technically API-valid. New assertions in tests/test_title_generation.py now detect known leakage patterns and emit warnings, ensuring internal scaffolding no longer silently passes into public-facing artifacts.

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