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ProgrammingDEV Community ·

Why Sticky Session Routing Without TTLs Quietly Causes Backend Imbalance

Session affinity routes clients to the same backend node consistently, but problems arise when assignment records are never deleted after a client disconnects or goes idle. Over time, stale rows accumulate in the routing table, causing the load-balancing logic to misjudge which nodes are least loaded. This gradually concentrates traffic on a small number of nodes, producing imbalance that appears unrelated to any routing bug. The recommended fix is adding a TTL to each assignment, refreshed on every active use, rather than relying on explicit delete-on-disconnect events that may never fire. Developers using DynamoDB should note that its native TTL deletion is best-effort and not instantaneous, so expired records may briefly persist beyond their expiry time.

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ProgrammingDEV Community ·

How to Connect Shopify to GA4 Without Google Tag Manager Using Native Events

Shopify's Google & YouTube sales channel can send the full GA4 ecommerce event set natively in minutes, eliminating the need for Google Tag Manager. However, browser-side data loss from ad blockers, iOS tracking prevention, and ITP can cause GA4 purchase counts to fall short of actual Shopify orders. To close this gap, developers recommend adding a server-side purchase event that sends data to GA4 via the Measurement Protocol through a Shopify webhook. Setting up the integration requires creating a GA4 property with matching timezone and currency, then connecting it through the Shopify Google & YouTube channel using the same Google account that owns the property. Additional best practices include extending data retention to 14 months on day one and enabling Enhanced Measurement, since the default two-month retention window prevents year-over-year analysis.

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ProgrammingDEV Community ·

Developer shares free SKILL.md template to turn AI into a Python coding mentor

A self-taught developer has created and open-sourced a SKILL.md template designed to configure AI tools like ChatGPT, Claude, and Lumo AI into structured Python tutors rather than answer machines. The template is grounded in established educational concepts, including scaffolded hints, Zone of Proximal Development, and a three-tier concept breakdown covering analogies, syntax, and internal Python mechanics. It also introduces the L.I.F.T. code review framework, which evaluates code on Logic, Idiomatic Pythonness, PEP 8 formatting, and time-space complexity. The approach aims to address a gap for self-taught developers who cannot afford bootcamps or CS degrees and currently rely on AI tools that bypass active problem-solving. The template is compatible with multiple AI platforms and local agents, and the author has shared it on DEV Community to gather feedback for further improvement.

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ProgrammingDEV Community ·

SQL Subqueries and CTEs Explained With Real-World Data Analysis Examples

SQL subqueries and Common Table Expressions (CTEs) are techniques that help analysts break complex data questions into smaller, manageable steps. A subquery, also called a nested or inner query, is written inside another SQL query and passes its result to the outer query for further processing. For instance, finding employees who earn above the company average requires first calculating that average, which a subquery can handle automatically within a single statement. This approach is especially useful with dynamic data, as the query recalculates results each time it runs rather than relying on hardcoded values. The article further classifies subqueries by the number of values they return and how they interact with outer queries, alongside a comparison with CTEs.

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ProgrammingDEV Community ·

Developer Scraps Startup Idea in One Afternoon Using a Four-Question Evidence Check

A software developer recently abandoned a startup idea he had been enthusiastic about after spending a single afternoon rigorously stress-testing it with evidence-based questions. He had identified what appeared to be a validated market, a funded competitor with strong traction, and a technical edge — classic signals builders act on. Closer investigation revealed the competitor had no confirmed paying customers, only free-tier users and unverified early trials, meaning marketing traction had been mistaken for genuine market validation. Further research showed his supposed technical edge was already well-documented in recent academic papers and open-source projects, making it far from novel. A practical test of his core tool then revealed it blocked all legitimate user actions alongside malicious ones, confirming the product was unusable — a flaw he credits the afternoon's discipline with catching before months of wasted effort.

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ProgrammingDEV Community ·

Critical Hardcoded JWT Key Flaw in Issabel PBX Framework Enables Remote Code Execution

A severe vulnerability, tracked as CVE-2026-89026 with a CVSS score of 9.8, was discovered in the pbxapi component of Issabel Framework, an open-source unified communications platform built on Asterisk. Every deployment shipped with the same hardcoded HS256 signing key, allowing any attacker who obtained it to forge valid authentication tokens for any installation worldwide. Using a crafted token, an attacker could invoke the management originate function, which passes unsanitized input directly to Asterisk for execution under its process privileges. Successful exploitation could enable toll fraud, theft of call recordings and voicemail, harvesting of extension credentials, and lateral movement into connected systems. The flaw was patched in upstream commit b97dbaf, and administrators are urged to apply the fix, rotate signing secrets, and audit logs for signs of compromise during the exposure window.

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ProgrammingDEV Community ·

How One Team Built an AI Voice Agent Command Center Using Supabase and VAPI

A development team has built a production-grade command center for Quiet Hours Valet, a real estate and services company, capable of running eight concurrent AI voice agents simultaneously. The system is built on Supabase, VAPI, and self-hosted infrastructure, with a five-page Next.js frontend and an eight-table PostgreSQL schema managing scheduling and routing. Supabase Edge Functions handle VAPI webhook callbacks, enabling reliable database mutations without the overhead of serverless Lambda functions. The architecture supports eight automation scenarios and real-time customer management, allowing a single operator to oversee multiple autonomous agents at once. The team has shared the build as a technical reference for developers looking to scale voice AI systems beyond the proof-of-concept stage.

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ProgrammingDEV Community ·

Google's AI Data Centers Shift from Grid Consumers to Active Grid Stabilizers

Hyperscale AI data centers are being redesigned to act as active participants in the electric grid rather than passive power consumers. Newer campuses equipped with grid-interactive architecture use on-site battery systems to discharge stored energy back into the distribution network during peak demand periods. Integrated control software continuously balances compute workloads, thermal loads, and grid conditions, allowing the same batteries used for uptime protection to also provide grid-stabilization services. This approach avoids the need for entirely new capital equipment, as the incremental cost involves mainly software and interconnection upgrades. The shift redefines data centers as dispatchable grid resources, particularly valuable during extreme heat events when AI training loads and regional electricity demand peak simultaneously.

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ProgrammingDEV Community ·

Dev Studio Ships Two Technical Books in 10 Days, Catches Critical Package Version Errors Pre-Launch

Between September 4 and 13, 2026, a solo development studio shipped 113 commits across 7 days, touching 497 files, as part of an intensive build sprint. Two books were published on Amazon KDP during this period: 'The Micro-SaaS GTM Playbook' on September 10 and 'Model Context Protocol for the One-Person Stack' on September 11. The MCP guide was written to address real-world setup failures not covered in official documentation, targeting solo developers who cannot afford lengthy debugging detours. During the fourth review round of the MCP book, nine out of ten printed package version pins were found to return 404 errors on npm, despite the packages themselves resolving correctly — a defect introduced by a prior revision rule demanding precise version pinning. The studio caught and corrected the errors before publication, noting that any rule requiring precision must be paired with its own verification step to avoid introducing new categories of mistakes.

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ProgrammingDEV Community ·

systemd's mstack silently overwrites read-only files due to unclear writable-layer default

A developer testing systemd's new mstack tool — introduced in systemd 260 in March 2025 — found that mounting a single-layer directory made it writable by default, causing a read-only file to be permanently overwritten with no error or warning. The mstack feature simplifies overlayfs mounts by letting users describe layered directories with symlinks instead of lengthy mount commands, and gained broader support in systemd-nspawn with the June 2025 release of systemd 261. During testing inside a standard Docker container, mstack produced a cryptic error referencing an internal function called '(layerfd)' when attempting to stack overlayfs on top of Docker's own overlay2 filesystem — a long-standing Linux kernel restriction. The same operation using a hand-written mount command fails too, but with a clearer message about unsupported upper directories. The workaround is to place the mount layers on a non-overlayfs filesystem such as tmpfs or a bind-mounted host directory.

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ProgrammingDEV Community ·

Senior Engineer Reflects on 10 Years of Unlearning Bad Junior Habits

A software engineer with a decade of experience has shared how many instincts he prided himself on as a junior developer were actually holding him back professionally. He argues that writing clever code, winning technical arguments, and chasing visible easy wins are junior behaviors that impede long-term growth. In his view, the most effective engineers focus on eliminating problems, building trust with colleagues, and tackling high-stakes work that others avoid. He also reflects on how becoming a tech lead revealed that leadership is less about coding skill and more about unblocking teams, absorbing chaos, and making hard trade-offs. His key takeaway is that reliability and trust are far more career-defining than technical cleverness.

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ProgrammingDEV Community ·

WClickHouse Library Enables High-Speed Bulk Ingestion for ClickHouse in Python

Developer William Steve Rodríguez Villamizar has released WClickHouse, an open-source Python library designed to optimize data ingestion into ClickHouse, a columnar OLAP database engine. Row-by-row inserts in ClickHouse are known to cause performance issues such as 'Too many parts' errors and excessive CPU usage from repeated small-part merges. The library's insert_many() method enables bulk insertion of large datasets in a single atomic network call, achieving over 100,000 rows per second. WClickHouse serializes batches directly into ClickHouse's native format using Apache Arrow and Pydantic v2, supporting Python versions 3.9 through 3.14. The project is available on both GitHub and PyPI and claims over 95% test coverage against real ClickHouse instances.

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ProgrammingHacker News ·

Haskell Forum Discusses How Programmers Can Stay Motivated in the Age of AI

A discussion thread on the official Haskell community forum has sparked conversation about maintaining a love for programming as large language models become more prevalent. The post explores the psychological and creative challenges developers face when AI tools can increasingly automate coding tasks. Community members shared perspectives on finding personal meaning and satisfaction in programming beyond pure productivity. The thread highlights a broader concern among software developers about the evolving role of human craftsmanship in a field being reshaped by AI.

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ProgrammingDEV Community ·

How to Extract Useful Feedback After a Vague Job Rejection Email

Job rejection emails are typically written using generic templates, offering candidates no real insight into why they were not selected. The actual reasons are often mundane, such as an internal hire, a budget shift, or a candidate with more directly relevant experience. Career advice from developer Asael Shinder suggests sending one brief, specific follow-up question to the hiring manager, as narrow questions are more likely to receive a genuine response. Candidates are also encouraged to self-debrief on the same day, noting where they underperformed or rambled during the interview. Tracking feedback across multiple rejections can help identify recurring weaknesses and improve future interview performance.

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ProgrammingDEV Community ·

Two-Tier File Validation Method Shields Ecommerce Chat Widgets From Malicious Uploads

Ecommerce chat widgets that allow product image uploads face significant security risks when file validation is weak or absent. Malicious actors can disguise harmful files as images by renaming them and spoofing MIME headers, bypassing basic checks. A two-tiered approach addresses this by first screening the Content-Type header, then using Python's magic library to verify a file's binary signature — the actual byte sequence embedded in its structure. Unlike user-controlled metadata, binary signatures cannot be easily altered without corrupting the file, making this second layer far more reliable. While effective, the method requires an up-to-date signature database and does not eliminate all edge cases, so ongoing maintenance remains essential.

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ProgrammingDEV Community ·

Developer Builds Full Power BI Solution for JCars Logistics Using Star Schema and DAX

A developer has documented the end-to-end process of building a Power BI business intelligence solution for JCars Logistics, starting from raw data cleaning through to dashboard delivery. The project involved separating raw and cleaned datasets, standardising field types, and removing invalid or duplicate records before any visualisation work began. A star-schema data model was designed with a central FactSales table linked to six dimension tables covering vehicles, customers, locations, sales representatives, payment methods, and dates. Reusable DAX measures — including total revenue, gross profit, average revenue per car, and logistics cost — were created to ensure consistent calculations across all report pages. The final output spans six report pages and an interactive dashboard built around key questions a logistics manager would ask, such as branch performance, sales representative contribution, and revenue trends over time.

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ProgrammingDEV Community ·

Tutorial: Building Grafana Dashboards with PromQL and LogQL for Full App Monitoring

A technical tutorial demonstrates how to build a unified Grafana dashboard that combines Prometheus metrics and Loki logs to monitor two sample applications end-to-end. The dashboard includes five panels: request rate, latency percentiles (p50/p95/p99), queue size gauge, recent logs, and error log volume. PromQL expressions power the metrics panels, while LogQL queries surface log streams and aggregate error counts over time. The layout follows a common observability convention, arranging panels from general to specific, top to bottom. The guide is part of a series that previously covered metrics collection, logging, and distributed tracing for the same application stack.

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ProgrammingDEV Community ·

Developer Builds TruthScanML, an AI Tool to Detect Fake News Using ML and Live Sources

Developer Harsh Tiwari, also known as Sparrow07, has built an AI-powered fake news detection tool called TruthScanML. The system combines an offline machine learning model for initial classification with online evidence gathered from multiple sources. It also incorporates credibility and freshness scoring alongside Natural Language Inference-assisted verification. The tool is built using Python, FastAPI, Streamlit, and scikit-learn, and is publicly accessible via Streamlit.

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ProgrammingDEV Community ·

WClickHouse lets Pydantic v2 models auto-generate ClickHouse table schemas

An open-source Python library called WClickHouse eliminates the need to write manual SQL DDL strings by mapping Pydantic v2 model fields directly to ClickHouse columns. The tool automatically generates and executes CREATE TABLE statements with appropriate storage engines, removing the risk of mismatches between Python types and ClickHouse columnar storage. It validates data in memory before insertion, preventing runtime corruption from unvalidated inputs. WClickHouse supports Python 3.9 through 3.14, integrates with Apache Arrow, and claims over 95% test coverage against live ClickHouse instances. The library is available on both GitHub and PyPI as part of an ongoing open-source engineering series.

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