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ProgrammingDEV Community ·

Why Business Trust Matters More Than Any IT Performance Metric

Software engineer Serguey Shinder argues that the most important measure of an IT team's success is not uptime or incident counts, but the level of trust it earns from the business. Teams that are trusted get invited into decision-making early, while those that are not are left reacting to choices made without them. According to Shinder, trust is built through predictability: delivering on commitments, communicating honestly even when inconvenient, and flagging problems before they escalate. A single hidden issue or broken promise can quickly erode trust that took considerable time to build, and no performance dashboard can restore it. He concludes that technically strong teams without business trust remain order-takers, while trusted teams gain the influence and resources that truly matter.

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ProgrammingDEV Community ·

How to Integrate Web Analytics Thoughtfully Into Your Application

Adding web analytics to an application involves more than installing a tracking script — developers must decide what to track, how to structure events, and how to protect credentials. A key distinction exists between a tracking ID, which identifies the analytics destination and can be safely exposed to the browser, and secret API keys, which must never appear in frontend code. Lightweight tracker initialization allows automatic collection of common events like pageviews without requiring manual instrumentation on every page. Beyond automatic events, custom events such as signups or purchases help product teams understand user behavior specific to their business. The guiding principle is to build analytics that is simple to maintain, secure by design, and genuinely useful rather than simply tracking everything.

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ProgrammingDEV Community ·

How a Website Tracking Pipeline Works: From Browser Event to Dashboard

A website analytics system may appear simple on the surface, but the underlying tracking pipeline involves multiple complex stages before data reaches a dashboard. Every analytics event, such as a page view or button click, must be structured as a reliable contract between the browser-side tracking script and the backend server. Because tracking scripts run on visitor devices, they must be lightweight and non-intrusive, while the backend must independently validate all incoming data since client input cannot be trusted. Analytics requests are handled asynchronously so that core website functions, like completing a purchase, are never disrupted if the analytics server is unavailable. A dedicated collection API serves as the gateway that receives, authenticates, and forwards events into the broader processing pipeline.

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SportsESPNcricinfo ·

Pakistan Head Coach Sarfaraz Flags Batting Concerns After Heavy Test Deficit

Pakistan head coach Sarfaraz Ahmed has expressed serious concern over his team's batting performances in the ongoing Test series. He called on the batters to show greater application and discipline at the crease. Pakistan now face a significant challenge to save the Test match following a poor batting display. The results and returns from the series have been moving in an unfavorable direction for the side. Sarfaraz's comments highlight mounting pressure on Pakistan's batting unit to turn things around.

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ProgrammingDEV Community ·

How Real-Time Web Analytics Turns Browser Clicks Into Dashboard Insights

Real-time web analytics systems capture every visitor interaction — from page views to button clicks — and process them within seconds into readable metrics. When a user interacts with a website, a lightweight tracking script in the browser detects the activity, constructs a structured event, and transmits it asynchronously to a backend collection API. The collection layer treats all incoming browser data as untrusted, validating and filtering events before passing them downstream for processing and storage. A dedicated processing layer then transforms raw event data into usable metrics, which are ultimately surfaced on an analytics dashboard. Each stage of this pipeline — browser, tracker, network, backend, storage, and query layer — carries a distinct responsibility to ensure speed, reliability, and data integrity.

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ProgrammingDEV Community ·

Collect Only Data You Can Protect, Security Principle Urges Developers

Software developer Serguey Shinder argues that every piece of stored data is not just an asset but a liability that must be actively protected. He proposes a simple rule: do not collect data you are not prepared to defend, shifting the question from 'might this be useful someday?' to 'is the potential value worth the responsibility?'. Shinder also highlights that data retention periods matter — information kept indefinitely becomes a forgotten, unguarded risk over time. He emphasizes that deleting data no longer needed is as important a security practice as protecting data that is still in use. The core principle is that the safest data is data never collected in the first place.

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ProgrammingDEV Community ·

AI Tools Cut Cross-Platform Dev Costs and Testing Time, 2026 Data Shows

Artificial intelligence tools are significantly reshaping cross-platform app development, according to multiple 2026 industry reports. AI code assistants such as GitHub Copilot and Amazon CodeWhisperer reduce cross-platform code translation time by 46%, saving development teams an average of 17.5 hours per week, per Stack Overflow data. AI-powered testing platforms like BrowserStack and Sauce Labs have cut manual testing cycles by 63%, with Canva reporting a 54% drop in mobile regression bugs after adopting AI-driven testing. On the design front, AI tools are reducing UI rework by 41% on average, while AI localization engines enable app translation into 80-plus languages in under three minutes, with Booking.com reportedly saving $126,000 in translation costs across 42 simultaneous market launches. Despite these gains, experts caution against over-relying on AI in regulated sectors such as legal and medical apps, where context errors occur roughly 13% of the time.

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ProgrammingDEV Community ·

AI Tools Cut Code Review Time by 64% and Boost Large Dev Team Output

Enterprise adoption of AI development tools has surged, with 81% of developers at large firms using them daily, according to 2026 industry data. AI-powered code review platforms such as GitHub Copilot and DeepCode are reported to reduce review time by 64%, shrinking pull request cycles from 5.8 days to 2.1 days for teams of over 25 engineers. Automation tools now handle up to 53% of routine code snippets, freeing senior engineers to focus more on architecture and system design. Poor documentation remains the top productivity blocker for 73% of enterprise teams, though AI writing tools are helping auto-generate and maintain docs at the CI pipeline level. Predictive task-routing tools and AI pair-programming bots are also showing measurable gains, with companies like Shopify and Canva reporting faster ticket resolution and quicker onboarding for new hires.

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ProgrammingHacker News ·

Racter: Revisiting the 1984 AI Chatbot That Wrote a Book

Racter was an early artificial intelligence program released in 1984, notable for generating human-like prose and poetry through automated text. The program gained widespread attention after its outputs were compiled into a published book titled 'The Policeman's Beard Is Half Constructed.' It is considered a landmark in the history of generative AI and computational creativity. The program has been archived and remains accessible through UbuWeb, a platform dedicated to historical avant-garde and experimental works. The Hacker News submission linking to the archive attracted modest community interest.

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ProgrammingDEV Community ·

WebPulse Launches as Real-Time, Behavior-Focused Alternative to Traditional Web Analytics

A team of developers has built WebPulse, a web analytics platform designed to surface visitor behavior in real time rather than through delayed reporting dashboards. The tool is built around the idea that most existing analytics platforms create too much distance between user activity and actionable understanding. Instead of focusing on aggregated metrics like pageviews or bounce rates, WebPulse structures data as session-level event sequences, showing the full path a visitor takes through a site. Events tracked can range from page views and button clicks to video completions and signup flows, giving teams richer context about where users drop off. The project was motivated by a scenario where a feature launch goes wrong within minutes, but traditional analytics workflows may take hours to surface the problem.

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IndiaTimes of India ·

Las Vegas saves 203B gallons removing lawns, but land temps spike 20°C

Las Vegas has been removing grass lawns as part of a water conservation initiative, successfully saving 203 billion gallons of water. However, the strategy has produced an unintended consequence: local summer land-surface temperatures have risen by approximately 20 degrees Celsius. The sharp increase in heat has raised environmental concerns among officials and researchers. In response, water agencies are now encouraging residents to adopt water-efficient landscaping and plant shade trees. New regulations have also been introduced to prohibit the installation of grass in residential yards going forward.

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ProgrammingDEV Community ·

Three-Phase Framework Helps Businesses Earn Citations in AI Search Results

A framework by Eric Hoover, published via Search Engine Land, outlines how businesses can improve visibility in AI-generated responses through three interconnected areas. The first phase focuses on technical accessibility, ensuring websites are structured so large language models can crawl, interpret, and trust the content. The second phase emphasizes maintaining fresh owned content, including both new publications and substantive updates to existing pages, to give AI systems reliable brand signals. The third phase involves earning third-party authority through digital PR, media placements, podcasts, and influencer engagements that reinforce a company's owned content. Hoover stresses that all three phases are interdependent, and that external citations are most effective when backed by technically sound, current on-site content.

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ProgrammingDEV Community ·

How to Build Reliable Billing Systems for GPU-Intensive AI Workflow Engines

A technical analysis published on DEV Community examines the challenges of designing credit and compute billing systems for GPU-heavy, node-based visual workflow engines. Unlike traditional API-based billing, these systems involve non-linear, parallelized workloads where each canvas node can trigger WebGPU shaders or remote inference tasks, making cost tracking complex. The article argues that unmonitored asynchronous pipelines risk rapid credit exhaustion, with a single recursive loop potentially draining thousands of compute credits within seconds. It proposes treating each workflow node as an isolated microservice, with a distributed credit ledger atomically recording every state transition as a verifiable financial debit. The author frames robust billing architecture not as an accounting add-on but as a core infrastructure requirement for building trustworthy, scalable distributed AI systems.

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ProgrammingDEV Community ·

AI Code Tools Cost Developers $380/Month in Bugs and Rework, Studies Show

AI coding assistants are causing significant productivity losses, with $2.1 billion in developer hours wasted last year due to faulty code completions, according to IDC's 2026 report. GitHub's 2026 data found that 61% of developers encounter AI-introduced bugs at least once a week, while 74% of those errors go undetected until manual review after code has already reached staging or production. A major root cause is limited context: AI tools typically process only 100–300 lines at a time, and Stack Overflow's 2026 survey attributes 53% of AI-generated bugs to incomplete understanding of project structure. Experts recommend integrating static analysis tools into CI pipelines, using precise prompt engineering, and applying code similarity detection to catch security risks from training-data reuse. Teams that consolidated multiple AI tools into one primary solution, as seen at Zapier and Trivago, reported fewer merge conflicts and recovered several hours per developer each sprint.

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WorldBBC World ·

Greenland inquiry into Inuit forced contraception remains inconclusive

Greenland authorities have stated that findings regarding genocide allegations against the Inuit community are not yet final. The investigation centers on the forced use of contraception on Inuit women during the 1960s and 1970s. Experts have been examining whether these historical practices constitute genocide. Officials have cautioned that the review process is still ongoing and no definitive conclusions have been reached.

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ProgrammingDEV Community ·

Calm During Outages Comes From Preparation, Not Personality

Engineer Serguey Shinder argues that composure during system incidents is not an innate trait but the direct result of advance preparation. He notes that the worst time to make critical decisions is when a system has already failed and adrenaline clouds clear thinking. Effective incident response relies on tools built beforehand — runbooks, early-warning alerts, and documented system dependencies — rather than on improvisation under pressure. When an incident occurs, a well-prepared team follows steps already thought through during calm conditions, which merely looks like coolheadedness. Shinder concludes that if on-call shifts consistently feel chaotic, the root cause is deferred thinking, not a lack of nerve.

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ProgrammingDEV Community ·

Systems thinkers outvalue single-tool experts as AI automates narrow tasks

A opinion piece by Serguey Shinder on DEV Community argues that deep expertise in a single tool carries an inherent risk, since any tool can be replaced, automated, or made obsolete by a newer version. In contrast, the ability to understand how systems interconnect — how data flows between services and where failures in one place surface elsewhere — remains durable across technology shifts. The author contends that AI is accelerating this divide by handling isolated, tool-specific tasks more cheaply, which raises the relative value of professionals who can see the full picture. As the cost of working with individual components falls, those who grasp cross-system dependencies and organizational risk become harder to replace. Shinder concludes that investing in systems-level thinking, rather than mastering a single product, is the more resilient long-term career strategy.

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ProgrammingDEV Community ·

AI-Generated Code Poses Growing Malware Risk as Adoption Surges Among Developers

Studies from 2025 and 2026 indicate that a large majority of AI-generated code contains security vulnerabilities, with 81% of samples on public forums flagged for flaws and 41% of malware incidents traced to AI-written code. Developers now rely on AI coding assistants for 62% of new code, according to GitHub data, raising the stakes for unreviewed AI output. Popular tools such as GitHub Copilot, Amazon CodeWhisperer, and Replit Ghostwriter all show measurable flaw-pass rates, with no tool reliably catching zero-day vulnerabilities. A reported April 2025 breach at Slack was linked to a Copilot-generated Python script that exposed an API token in plain text, costing the company an estimated $1.7 million in response costs. Security experts recommend pairing AI assistants with automated static analysis tools and mandatory human code review, as teams reportedly spend an average of $340 per month remediating AI-introduced vulnerabilities.

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ProgrammingDEV Community ·

AI Coding Assistants Face Declining Quality and Rising Costs in 2026

A 2026 Stack Overflow survey found that 72% of developers are less satisfied with AI coding assistant output compared to 2023, while a DeepCode study reported a 32% increase in bugs per 1,000 lines of AI-generated code over the same period. GitHub Copilot's productivity gains have also dropped sharply, falling from a reported 40% speedup in 2023 to just 15% in 2026. According to the JetBrains Developer Ecosystem Report 2026, 61% of users find these tools less helpful than a year ago, citing repetitive and outdated suggestions. Researchers at Stanford linked part of the quality decline to model 'decay,' finding a 19% drop in code correctness when training data contains more than 25% AI-generated content. Meanwhile, subscription prices for leading tools have increased, with GitHub Copilot, Cody Pro, and Tabnine Business now costing between $15 and $25 per month, without corresponding improvements in output quality.

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ProgrammingDEV Community ·

How a Browser Network Tab Revealed Redundant API Calls and Led to a React Query Fix

A developer building a currency-switching feature discovered their app was making repeated database requests to Supabase every time the Settings page was revisited, despite using React Query. Investigating the browser's Network tab revealed the root cause: React Query's default staleTime of zero causes cached data to be treated as stale immediately, triggering a fresh server fetch on each page return. Setting staleTime to Infinity told React Query to treat fetched currency data as permanently fresh, eliminating unnecessary repeat requests. The developer also configured gcTime to Infinity to ensure unused cached data was not garbage-collected during the active session. The experience highlighted the practical difference between data being cached and data being considered fresh — two distinct concepts in React Query's caching model.

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