How TypeScript Classes and Constructors Work: A Practical Guide

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A tutorial published on DEV Community by Beshilo Coding Academy explains how to use classes and constructors in TypeScript for building scalable applications. The guide covers declaring strongly-typed class properties, writing constructors that execute automatically on object instantiation, and defining instance methods. A step-by-step Student class example is used to demonstrate how TypeScript enforces type safety before code reaches production. The tutorial highlights key benefits including code reusability, type safety, and cleaner encapsulation of properties and behavior. A companion four-minute video walkthrough is also available on YouTube for developers who prefer a visual format.

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Two Methods to Identify Shopify Stores: Manual Checks and Bulk Detection Tools

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ProgrammingDEV Community ·

Why LLM Red-Team Reports Need Reproducibility, Not Just Screenshots

A software engineer argues that most AI red-teaming reports are little more than screenshots of bad model outputs, which cannot be independently verified or rerun. Credible reports, the author contends, must include a fixed and versioned probe corpus, raw prompts and model replies, and a SHA-256 checksum so compliance reviewers can verify nothing changed. A meaningful 0–100 score derived from how many probes a model failed should replace vague qualitative assessments, enabling CI pipelines to block deployments that exceed a set risk threshold. The author has built a small toolkit covering 35 probes across 17 attack classes, with a free 8-probe scan available without requiring an account. The core argument is that reproducibility transforms red-teaming from an anecdotal claim into a verifiable, auditable record.

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ProgrammingDEV Community ·

Study finds AI-generated code flags zero true error-swallowing cases across 120 samples

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ProgrammingDEV Community ·

How to Build a WebMCP Scoring Tool in Plain HTML With No Dependencies

A developer tutorial published on DEV Community walks through building a WebMCP tool from scratch using only a plain HTML file served via Python's built-in HTTP server. The guide demonstrates how to register a tool called 'score_facts' that evaluates a YAML document against five required fields — name, goal, who, what, and why — and returns a 0–100 score. Chrome supports the document.modelContext API natively behind an experimental flag, while other browsers can use a polyfill as a fallback. The tutorial emphasises defensive coding practices, including input validation and try/catch error handling, so that tool failures return structured error objects rather than raw stack traces. A security section also introduces URL allowlisting to prevent remote-fetch tools from being exploited as open proxies.

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