Layered Architecture Explained: How PHP Apps Are Structured Without Knowing It

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Layered Architecture, also known as N-Tier, is the most widely used architectural pattern in software development, organizing code into horizontal layers each with a distinct responsibility. The four core layers are Presentation, Application, Domain, and Infrastructure, where each layer communicates only with the one directly below it. This strict dependency rule means a Controller should call a Service, a Service should call a Repository, and never the other way around. The pattern's main strengths include conceptual simplicity, clear separation of concerns, and the ability to test or replace each layer independently. However, it can become rigid for vertical changes spanning all layers, and may produce redundant pass-through code when a Service layer adds no real logic.

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Why Filtered Vector Search Breaks Benchmarks and Production Systems

Most vector database benchmarks report impressive speed and recall figures using unfiltered queries, but real-world production systems almost always combine vector search with metadata filters like tenant IDs or date ranges. Adding such filters to approximate nearest neighbor (ANN) searches disrupts the underlying graph index, which was built assuming all data points are accessible, causing latency to spike and recall to drop silently. There are three known approaches to handling filtered vector search, with the two most common methods failing in opposite ways depending on how selective the filter is. A third, newer technique can actually use filters to speed up the search rather than hinder it. The article argues this mechanics gap is one of the most underexplored problems in modern retrieval systems, often only surfacing when users report vague complaints that search feels broken.

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ProgrammingDEV Community ·

College Student Ditches AI Learning to Explore Go Programming in 20 Days

A second-year college student began learning the Go programming language in July 2025, choosing it over more mainstream options like JavaScript or Java. After briefly attempting to study AI and machine learning, he found himself exhausted and pivoted to exploring newer languages including Golang, Rust, and Zig. He selected Go first, drawn by its reputation for simplicity comparable to Python and speed comparable to C, as well as real-world case studies like a company reducing its server count from 30 to 2 after migrating to Go. Using the book 'Get Programming with Go', he covered basics such as syntax, variables, loops, and type handling in his first two days. He aims to complete the fundamentals within 20 days before his college semester resumes.

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ProgrammingDEV Community ·

Claude Code Tops 2026 AI Coding Tool Rankings as Copilot Faces Stiff Competition

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ProgrammingDEV Community ·

How to Defend LLM-Powered Apps Against Prompt Injection Attacks

Prompt injection is a security vulnerability where users manipulate AI-powered applications by typing instructions that override the developer's original system prompt. Because large language models treat all text equally, they cannot inherently distinguish between trusted developer instructions and untrusted user input. Developer Maneshwar, who builds an open-source AI code review tool called git-lrc, outlines several practical mitigation techniques including input filtering, inline security warnings, and post-prompting. Strategies such as 'sandwich prompting'—placing user input between two sets of instructions—can make injection attacks harder to execute without requiring complex infrastructure. While no single method eliminates the risk entirely, combining these lightweight defenses significantly raises the bar for would-be attackers.

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