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ProgrammingDEV Community ·

PostMicroTools offers 17 browser-based video calculators with no server or data upload

PostMicroTools is a fully client-side toolbox that runs 17 post-production utilities — including bitrate calculators, storage planners, LUT previewers, and delivery-spec validators — entirely within the user's browser tab. No data is transmitted to any server, making it suitable for sensitive workflows such as NDA shoots or proprietary deliverable checks. Each tool is built as a separate static HTML page with shared, tree-shaken utility modules, eliminating the need for a backend, database, or client-side router. Camera codec profiles are encoded as data rows rather than code branches, allowing a single formula to handle formats like REDCODE, ARRIRAW, BRAW, and ProRes RAW. The architecture prioritises privacy, near-zero hosting costs, and instant keystroke-level responsiveness by keeping all computation local to the browser.

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ProgrammingDEV Community ·

How to reclaim disk space by cleaning up unused Docker images

Docker accumulates unused image layers called dangling images every time a new build is triggered, and these are never automatically removed, gradually consuming server disk space. Running 'docker system df' gives a quick overview of how much space Docker is occupying before any cleanup begins. The command 'docker image prune -a' removes all images not referenced by any container, including stopped ones, and is sufficient to free several gigabytes in most cases. Age-based filters like '--filter until=720h' allow users to retain recent images while purging older ones. For fully automated maintenance, a weekly cron job can be configured to run the cleanup silently every Sunday and log the results.

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ProgrammingDEV Community ·

A Three-Question Decision Tree to Pick the Only 2 Refactoring Tools You Need

A practical framework published on DEV Community argues that developers can cut through refactoring tool overload by answering just three questions: the scope of change, how type-heavy the codebase is, and who will run the tool. Based on those answers, the guide narrows the choice to two tools across three common scenarios — solo TypeScript developers are pointed to VS Code and ts-morph, small teams to WebStorm and jscodeshift, and multi-repo organisations to ast-grep and Sourcegraph Batch Changes. The article advises skipping tools like Babel, Comby, OpenRewrite, and ReSharper unless a developer is already working within their specific ecosystems. The author frames tool sprawl as a symptom of a deeper organisational problem: teams debating ten options have usually not defined what kinds of changes are worth automating. This guidance comes as the refactoring-tools market is projected to grow from $1.74 billion to $5.82 billion by 2033, a trend the article warns will produce more tools rather than clearer choices.

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ProgrammingDEV Community ·

Google's Gemma 4-26B Lets Indian Firms Run Powerful AI Locally on Budget Laptops

Google's Gemma 4-26B, a fourth-generation open-weight AI model with 26 billion parameters, can run on a standard consumer laptop with 16GB RAM and around 14GB of disk space, requiring no cloud subscription or GPU. Indian startups and SMEs can deploy it on laptops costing between ₹35,000 and ₹50,000, avoiding recurring API fees that can reach ₹40,000 per month for mid-sized firms. Running the model locally addresses key concerns around data privacy, regulatory compliance under frameworks like SEBI and RBI guidelines, and operational reliability during internet outages. Practical use cases span financial analysis, options trading research, contract review, customer support bots, and Python-based data pipeline development. The model runs at roughly 8–12 tokens per second on a modern CPU using 4-bit quantization, making it accessible without specialised hardware.

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ProgrammingDEV Community ·

How One Recruiter's Bias Quietly Made an AI Hiring System Less Effective

A company's AI interview platform showed consistently improving metrics over six months, with pass rates, completion rates, and candidate satisfaction all trending upward. However, a senior engineering manager noticed that despite more candidates clearing interviews, the actual on-the-job performance of new hires showed no improvement over previous cohorts. Investigations ruled out AI tool usage by candidates, question leakage, and model drift as causes. The team eventually traced the issue to a feedback loop in the system's design, where human reviewer approvals were used monthly to recalibrate AI scoring thresholds. One recruiter who consistently approved nearly 90% of AI recommendations — far above the team average of 55–65% — had inadvertently skewed the model toward her preferences at scale, gradually lowering the effective bar for all candidates.

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ProgrammingDEV Community ·

How Google Translate Silently Breaks React Apps and What Developers Can Do

A subtle but serious bug can cause React applications to crash with a blank screen for users whose browsers auto-translate web pages. The issue arises because Google Translate rewrites the DOM by splitting and wrapping text nodes, while React simultaneously relies on its own internal model of the DOM structure without re-checking it. When React attempts its next update, it finds the DOM no longer matches its expectations and throws an unrecoverable error, often leaving users with a white screen. The conflict is not a flaw in either React or Google Translate individually, but stems from both systems trying to control the same DOM elements at the same time. International users and anyone with browser auto-translate enabled are most likely to encounter this issue, making it difficult to reproduce in standard development environments.

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ProgrammingDEV Community ·

Transferum: New TypeScript Library Brings Capability-Based Data-Flow Graphs

A developer has released Transferum, an open-source TypeScript library for building explicit, graph-based data-flow models between software components. Unlike conventional reactive libraries such as RxJS, Transferum organizes pipelines around 'capabilities' — explicit flags that declare what each node can do, such as push, pull, filter, or buffer data. These capability flags serve dual roles: enforcing compile-time type safety and driving dynamic connection logic at runtime through a central linkTransfers() engine. The library is structured around four core abstractions — Transfers, Bridges, Operators, and Builders — and enforces strict invariants including the suppression of undefined values and class-agnostic node linking. Built-in support for both synchronous and asynchronous transfers is included, with configurable options for concurrency limits and buffer sizing.

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ProgrammingDEV Community ·

How the Extract Method Technique Transforms Messy Legacy Code into Clean, Testable Units

A software developer shares a practical approach to refactoring legacy codebases using a technique called Extract Method, which involves breaking large, multi-purpose functions into smaller, clearly named units. The problem was illustrated through a real-world example of a 218-line JavaScript file handling an e-commerce order process, where a single function mixed validation, tax calculation, discount logic, and data persistence. Attempting to add a new feature to such tangled code led to a production bug that accidentally gave customers a 100% discount. By extracting each responsibility into its own descriptive function, the main processOrder function became easier to read, test, and maintain without requiring a full system rewrite. The author notes that the technique also enables code reuse and faster debugging, since isolated functions make defects far easier to locate and fix.

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ProgrammingDEV Community ·

Silent Cost Spikes: Why Your AI Agent's Bill Can Jump 40% Without Any Errors

AI agents deployed in production can silently inflate LLM costs by 40% or more without triggering any errors or failed runs, making the problem hard to detect in real time. Each agent has a natural token consumption pattern, and sharp deviations from that baseline — caused by retry loops, accidental prompt growth, or tool recursion — signal something has gone wrong. Using statistical percentiles such as p50 and p95, rather than simple averages, provides a more reliable baseline because percentiles are resistant to outliers that skew averages. Effective anomaly detection requires both magnitude and persistence: a single high-token run may be legitimate, but multiple consecutive runs exceeding p95 with at least one above p99 indicates a systemic issue worth investigating. Setting up a baseline monitoring system that tracks these thresholds allows engineering teams to catch runaway cost patterns before the monthly bill arrives.

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ProgrammingDEV Community ·

Dev Fixes Three.js Game Bug That Triggered False Game Over on Minimal Jump

A browser game called Solstice Leap contained a bug where briefly tapping and releasing the jump control caused an immediate game over, even though the player never left their platform. The flaw stemmed from a binary landing check that only recognised two outcomes — landing on the next platform or falling — ignoring a valid third state where the player remained on the starting platform. Developer identified the issue through a simple, repeatable input sequence requiring no exotic conditions. The fix involved recording both the origin and target platforms in the jump's landing object, then checking each in sequence before declaring a game over. A shared helper function ensures consistent geometry and safe-radius calculations are applied to both checks, preventing any unintended leniency in the fallback logic.

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ProgrammingDEV Community ·

Veteran Developer Argues Hustle Culture Is Unsustainable and Overhyped in Tech

A software professional with 20 years of experience across system architecture, ERP, network security, and mobile development has challenged the widespread belief that constant overwork is essential for career growth in tech. Hustle culture, rooted in the idea that success demands personal sacrifice and near-total dedication to work, has become deeply embedded in developer communities and startup ecosystems. The author argues that social media influence, high earning potential in tech, and rapid technological change all fuel pressure on developers to work beyond healthy limits. Rather than producing long-term career success, this relentless approach often leads to burnout and shallow learning instead of genuine skill development. The piece calls for a smarter, more sustainable approach to career growth that prioritizes focused effort over sheer volume of hours worked.

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ProgrammingDEV Community ·

Restoring a Backup Is Not Enough — Recovery Drills Must Test the Full Stack

A successful backup restoration does not guarantee a service will come back online, as missing signing keys, misconfigured DNS, absent storage buckets, or unreachable identity providers can all keep applications offline. This gap was highlighted by a reported breach of Romania's cadastral agency, where an attacker wiped systems and backups after a failed extortion attempt, leaving official services down for a week. Experts argue the real question is not whether a backup exists, but whether a team can use it to restore a working service under realistic failure conditions. Tools like Veeam's SureBackup and AWS Elastic Disaster Recovery already support isolated recovery testing, but a narrower opportunity exists to make the recovery runbook itself the test subject. A structured drill in an isolated environment — tracking actual recovery time, the first failed step, and any dependency gaps — offers more actionable insight than a simple backup-success status check.

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ProgrammingDEV Community ·

AI Agent Economy Settles $73M But 98% Flows Through a Single Stablecoin Issuer

A study by crypto firm Keyrock, conducted with Coinbase and Tempo blockchain, tracked $73 million settled across 176 million machine-to-machine transactions between May 2025 and April 2026, involving over 104,000 registered AI agents. Researchers found that roughly 98% of those settlements passed through a single stablecoin issuer, creating a systemic single point of failure in what was supposed to be a decentralized economy. Across the broader agent commerce space, custodial intermediaries — including escrow services, broker platforms, and payment facilitators — have proliferated as the default solution to the agent trust problem. Critics note this reintroduces the same counterparty risks, honeypot vulnerabilities, and permission gatekeeping that blockchain technology was originally designed to eliminate. Trustless alternatives such as hash-time-locked contracts (HTLCs), which enable atomic peer-to-peer settlement without any custodian, already exist but have seen limited adoption in the emerging agent economy.

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ProgrammingDEV Community ·

Python 3.11 breaks asyncio.coroutine: how to fix the AttributeError on upgrade

Upgrading to Python 3.11 or later causes an immediate AttributeError for any code using the @asyncio.coroutine decorator, which was removed after being deprecated since Python 3.8. The decorator was a legacy way to write coroutines using generator syntax before native async/await was introduced in Python 3.5. The fix requires replacing @asyncio.coroutine with async def and swapping every yield from with await, applied throughout the entire call chain. In most cases, upgrading the affected third-party dependency via pip is sufficient, as major async libraries dropped the old pattern well before Python 3.11. Running tests with the -W error::DeprecationWarning flag on Python 3.9 or 3.10 can surface these issues as warnings before any runtime upgrade is made.

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ProgrammingDEV Community ·

Flock Safety's License Plate Cameras Spark Privacy Debate Over Mass Vehicle Tracking

Automated license plate readers (ALPRs), particularly those operated by Flock Safety, capture vehicle plates, location, time, make, model, and visible details like bumper stickers for every passing car, regardless of suspicion. While the technology helps police locate stolen vehicles and missing persons, critics warn that thousands of scans can reconstruct detailed patterns of individuals' daily lives, including where they worship, seek medical care, or attend protests. Data is stored in a searchable cloud database for 30 days and can be accessed across jurisdictions, raising concerns about how broadly it is shared. The ACLU escalated its campaign against networked plate readers in July 2026, citing cases where local agencies shared search results with federal immigration authorities despite Flock's stated policy against direct ICE access. Audits of officer search logs, including one Oregon department where reasons logged included 'hehehe' 20 times in a single month, have highlighted the lack of meaningful oversight over how the system is used.

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ProgrammingDEV Community ·

WEMIX3.0: How Wemade's Gaming-First EVM Chain Works for Developers

WEMIX3.0 is a Layer 1 EVM blockchain built by South Korean game company Wemade, launched on its own chain in 2022 after previously operating on Ethereum and Klaytn. It runs on chain ID 1111, uses WEMIX as its native gas token, and produces blocks approximately every one second to support high-frequency gaming transactions. The network uses a stake-based Proof-of-Authority model governed by a council of up to 40 known validators, which trades decentralization for fast, deterministic finality with no chain reorganizations. Developers can connect using standard Ethereum tooling such as Solidity, viem, and ethers.js without modification. The chain's traffic is dominated by gaming activity — including NFT mints, in-game asset transfers, and economy transactions — making event-based log filtering a key consideration for anyone building or indexing on the network.

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ProgrammingDEV Community ·

Traccia Tool Offers Guardrail Detection and Policy Enforcement for OpenAI Agents

Traccia is an instrumentation platform designed to help developers verify and enforce safety controls in AI agents built with the OpenAI Agents SDK. The tool automatically captures input and output guardrail activity from agent traces without requiring custom annotations or manual code wrapping. It provides structured findings per trace, including detected and triggered guardrail categories, and flags agents that lack output guardrails as a coverage gap. A separate policy enforcement decorator called @govern can hard-block or pause agent execution before any function with real-world side effects — such as database writes, payments, or external API calls — is allowed to run. The platform aims to give production AI systems both observable proof that controls fired and enforceable rules that prevent unauthorized actions.

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ProgrammingDEV Community ·

How to Build a Shopify Checkout UI Extension: A Practical 2026 Guide

Shopify Checkout UI Extensions allow developers to embed sandboxed React or Preact components into fixed slots within the checkout flow, such as adding a delivery instructions field next to cart items. Unlike Shopify Functions, which run server-side to handle discounts or shipping logic, UI extensions render visible, interactive elements on the client side inside a Web Worker sandbox. This guide walks through scaffolding a real extension using Shopify CLI, reading and writing checkout data via the shopify global object, and deploying it within platform constraints. Notably, Shopify Scripts — the legacy tool for custom discount and shipping logic on Plus stores — stopped executing on June 30, 2026, meaning any remaining Scripts must now be migrated to Functions. Developers need a Partner account, a development store with checkout extensibility enabled, and a compatible app to attach the extension to before getting started.

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ProgrammingDEV Community ·

How to Secure Azure Linux VMs Using SSH Keys and Network Security Groups

A technical guide published on DEV Community outlines steps to harden Azure Linux virtual machines against unauthorized access. The process begins with generating a 4096-bit RSA SSH key pair locally and deploying an Ubuntu 22.04 LTS VM on Azure using the public key for authentication. To restrict exposure, a Network Security Group rule is configured to allow SSH access on port 22 only from the user's specific public IP address, blocking all other sources. The guide confirms the setup works by showing that SSH connections from different IP addresses time out, validating the NSG rule is enforcing traffic restrictions. Users are also advised to delete the resource group after testing to avoid unexpected Azure billing charges.

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ProgrammingDEV Community ·

What modern CMS apps actually do — and why content modeling matters most

A content management system has evolved far beyond letting non-developers publish web pages, now handling multi-channel delivery, editorial workflows, and integration with broader marketing tools. Unlike legacy platforms such as WordPress or Drupal, which bundle editing, storage, and display into one system, modern CMS apps separate these layers for greater flexibility. A critical but often overlooked factor when choosing a CMS is the content model — the structure that defines what types of content exist and what fields each contains. A poorly designed content model creates long-term editorial friction, making it harder to filter, reuse, or repurpose content across channels. Modern CMS apps address this through structured fields, portable rich text, and visual previews, with some tools like Sanity allowing schemas to be defined in code for version control and easier review.

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