7 Key Features to Check Before Choosing a React Admin Dashboard Template

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Selecting a React admin dashboard template requires looking beyond aesthetics, as many options that appear polished in screenshots prove unreliable in real projects. Experts highlight that production-ready templates should be built on React 19, use TypeScript throughout, and follow a component-based folder structure rather than monolithic page designs. Responsive design is equally critical, since admin dashboards are increasingly accessed on tablets and mobile devices, making collapsible sidebars and touch-friendly navigation essential. Templates should also ship pre-built authentication pages, working chart integrations using libraries like Recharts or ApexCharts, and show evidence of active maintenance with up-to-date dependencies. Outdated or abandoned templates pose security and compatibility risks, so checking the last update date and documentation quality is strongly advised before purchase or download.

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How Developers Are Prompting AI Agents to Push Back Instead of Just Agreeing

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ProgrammingDEV Community ·

Developer shares Kotlin, Retrofit, and Coroutines stack for open-source Android app

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ProgrammingDEV Community ·

How to Build Multi-Tenant SaaS Using Next.js, Prisma and PostgreSQL

A practical architecture guide outlines three multi-tenancy strategies for SaaS applications built with Next.js, Prisma, and PostgreSQL. The recommended default approach uses a shared database schema with a tenant ID column on every table, suitable for 100 to 10,000 tenants. For stronger data isolation, developers can implement PostgreSQL Row-Level Security policies that enforce tenant filtering at the database level, acting as a safeguard when application code misses a filter. The guide also warns that PgBouncer in transaction mode can strip session variables before queries execute, and recommends using session mode or setting tenant context within the same transaction. Developers are advised to start with the shared schema model and migrate specific tenants to stricter isolation only as business needs grow.

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ProgrammingDEV Community ·

Developer Builds Client-Side Privacy Scrubber to Strip PII Before AI Prompts Are Sent

A developer has released an open-source, browser-based tool designed to automatically detect and redact sensitive information from text before it is submitted to AI models like ChatGPT. The tool uses regex-based scanning to replace personally identifiable information — such as names, emails, phone numbers, and addresses — with neutral placeholders, ensuring no raw data leaves the user's browser. A locally stored encrypted vault maps each placeholder back to its original value, allowing users to restore real details after receiving an AI-generated response. The project was motivated by growing concerns over inadvertent data leakage, including potential HIPAA violations and corporate IP exposure, which the developer observed in everyday workflows. Future plans include adding named entity recognition for more accurate detection, a browser extension for inline scrubbing, and a lightweight API for enterprise team integration.

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