LogRocket engineering blog

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LogRocket9 hours ago

Prompt engineering vs. prompt design: The UX perspective on AI personality

The article argues that prompt design — the UX-focused craft of shaping an AI agent’s personality and response style — is distinct from but complementary to technical prompt engineering. It provides a step-by-step guide to designing an agent persona (Pronto_Bot), practical tips for iterating and controlling outputs (constraints, parameters, safety), and examples of customized chatbots, while emphasizing collaboration between designers and engineers.

LogRocket10 hours ago

The Replay (11/5/25): Developer elitism, REST APIs, and more

LogRocket’s weekly newsletter highlights current conversations in frontend and modern software: a piece on developer elitism and its cultural impacts; a PodRocket panel covering Remix v3 and React 19.2; an argument against writing REST APIs from scratch in 2025; a discussion about engineers’ attitudes toward programming languages; and other frontend-focused items and links. Readers are invited to subscribe.

LogRocket12 hours ago

It’s time to break the cycle of developer elitism

Lewis Cianci argues that developer elitism harms communication and mentorship, driving junior developers toward lower-quality or AI-based help. He recounts personal anecdotes about being mentored (and about Stack Overflow and ChatGPT pitfalls), explains how elitism undermines learning, and recommends practical team-level fixes — hybrid schedules, structured instruction, mentoring, and crowdsourcing learning topics — to make senior engineers more approachable and improve training.

LogRocket1 day ago

How to make UX initiatives matter to PMs

Practical advice for UX designers on making design initiatives matter to product managers: translate UX outcomes into measurable business impact, use prototypes and storytelling to demonstrate value, involve PMs early in discovery, align proposals with OKRs and roadmap timing, and be product-minded about tradeoffs so UX work earns prioritization.

LogRocket1 day ago

I tried OpenAI’s AgentKit: Does it make Zapier and n8n obsolete?

A hands-on review and tutorial of OpenAI’s AgentKit that explains its core components (ChatKit, AgentBuilder, Guardrails, Evals), demonstrates building an ad-campaign agent with the Agent SDK (and a comparison implementation in n8n), and argues AgentKit makes automation AI-native — better for complex, adaptive workflows — while not fully replacing Zapier/n8n for simple tasks.

LogRocket1 day ago

A Jarvis for everyone: AI agents as new interfaces

The article argues that AI agents powered by multi-channel, multi-capability frameworks like the Model Context Protocol will become primary interfaces, shifting design from screens and forms to conversational, context-aware workflows. It outlines implications for frontend architecture, prompt and UX design, backend orchestration, state/context management, security and governance, and recommends prototyping, research, tooling, and strong ethical controls to prepare.

LogRocket1 day ago

How to run your AI products like a portfolio, not a project

The article argues PMs should run AI features as a portfolio of assets (core, exploratory, moonshot) and adopt probabilistic thinking. It prescribes practical steps — set risk budgets, design guardrails and phased rollouts, measure outcome metrics and cost‑of‑error, monitor for drift, and use a rebalance cadence and promotion criteria — and illustrates the approach with a generative assistant and a demand‑forecasting model. The result: clearer trade‑offs, safer launches, and governance that lets useful models graduate while containing risk.

LogRocket2 days ago

Why frontend devs should care about platform engineering

A tutorial arguing that frontend developers benefit from platform engineering; it demonstrates using Backstage as a developer portal to centralize project catalogs, automate scaffolding and dependency management, create plugins, and host TechDocs for documentation, with step-by-step setup and examples for Next.js/React projects.

LogRocket2 days ago

How I built an AI productivity assistant with Vercel AI Elements

A step-by-step tutorial showing how to build a streaming AI productivity chat assistant with Vercel AI Elements and the Vercel AI SDK using Next.js and TypeScript. It covers project setup, installing AI Elements components (Conversation, Message, Reasoning, prompt input, actions), configuring a Google Gemini provider, implementing a streaming backend route, and assembling the frontend chat UI with send/regenerate/copy actions.

LogRocket6 days ago

How to use CSS line-clamp to trim lines of text

A practical guide to using CSS line-clamp to limit visible lines of text: how to implement a cross‑browser solution (vendor-prefixed and unprefixed forms), common patterns and workarounds, the inability to customize the ellipsis, UX/accessibility/SEO caveats, and alternatives like max-height with line-height or gradient fades.

LogRocket1 week ago

Is Promise.all still relevant in 2025?

A technical guide updated for 2025 that explains JavaScript promises and when Promise.all remains relevant. It covers promise basics, async/await, Promise.all’s fail-fast behavior, and alternatives (Promise.allSettled, Promise.any, Promise.race) plus the newer Array.fromAsync() for sequential processing. The article gives code examples and practical guidance on when to use or avoid Promise.all (concurrency vs sequential processing, rate limits, timeouts).

LogRocket1 week ago

The Replay (10/29/25): Tiny AI agents, Next.js 16, and more

LogRocket’s The Replay (10/29/25) is a curated newsletter for dev and engineering leaders covering small language models and AI tools, new frontend frameworks (Ripple.js), Next.js 16 updates and their team implications, a piece on why CTOs should still code, and other frontend-focused industry items.

LogRocket1 week ago

Next.js 16: What’s new, and what it means for frontend devs

A clear, practical breakdown of Next.js 16: introduces opt-in Cache Components and Partial Pre-Rendering, Next.js DevTools integrated via the Model Context Protocol for richer/AI-assisted debugging, proxy.ts to replace middleware.ts for explicit Node-side request handling, Turbopack as the default bundler with improved build metrics and faster builds, and other stability and DX improvements (React Compiler stabilization, caching APIs, upgraded create-next-app defaults). The article also explains how to upgrade or start new projects and notes Node/TypeScript requirements.

LogRocket1 week ago

Is Llama really as bad as people say? I put Meta’s AI to the test

A developer-focused review of Meta’s Llama (Llama 3.2 1B Instruct) that explains what Llama is, how to download and run it (Llama CLI, LMStudio), and how to augment it with OpenRouter and Qwen CLI. The author tests Llama by asking it to generate a Svelte 5 + Firebase CRUD todo app, shows the model’s output (and needed manual fixes), compares Llama to other open models on cost, context window, and performance, and concludes Llama is a fast, low-cost, offline-capable assistant suitable for simple coding and learning but not a full replacement for larger or agentic models.

LogRocket1 week ago

Small language models: Why the future of AI agents might be tiny

The article reviews an NVIDIA position paper arguing that small, deployable language models (SLMs) — optimized to run on consumer GPUs, laptops, or in browsers — can enable more efficient, private, and low-latency agentic AI by replacing monolithic LLM calls with a routed ecosystem of specialized models. It outlines a practical roadmap (collect traces, cluster tasks, train/select specialists, build routers, iterate) and describes hybrid cloud–edge architectures and inference schedulers that distribute workloads to balance cost, latency, and privacy.

LogRocket1 week ago

You’re doing vibe coding wrong: Here’s how to do it right

The LogRocket article defines “vibe coding” (using AI/autocomplete to generate code), explains where it can be productive and where it’s risky, highlights common failure modes (security vulnerabilities, technical debt, debugging and concurrency problems), cites examples and studies, and offers practical guidance (project structure, stack choices, prompting strategy, validation, testing, version control, and documenting AI-generated code) to use AI responsibly and keep blast radius small.

LogRocket1 week ago

Exploring spec-driven development with the new GitHub Spec Kit

The article explains GitHub Spec Kit, an open-source CLI and workflow for spec-driven development that stores a project's constitution, specs, plans, and tasks so AI coding assistants produce consistent, architecture-aligned code. It shows how to install the tool, use seven slash commands to define and validate project artifacts, and walks through building a demo React + TypeScript + Tailwind bookstore frontend to demonstrate the workflow and benefits.

LogRocket1 week ago

10 AI prompt templates for better product workshops

A practical guide showing how to use AI to run better product workshops. The article provides 10 prompt templates covering agenda creation, balancing discussion and exercises, estimating timeboxes, preparing artifacts ahead of time, automating tasks like affinity mapping, co-facilitating during sessions, and generating post-workshop summaries — encouraging use of AI across the entire workshop lifecycle.

LogRocket1 week ago

AI-first helpdesks: The UX shift businesses can’t ignore

The article explains the shift to AI-first helpdesks — where AI chatbots become the primary discovery and support interface — contrasts them with traditional helpdesks, outlines UX and business benefits and drawbacks, and provides design guidelines (clear documentation, unified search/chat UI, transparency about AI, human fallbacks, and KPI benchmarking) with examples from companies like Shopify, Spotify, HubSpot, and Hostinger.

LogRocket1 week ago

The different ways to use CSS :has(), with examples

A practical guide to the CSS :has() pseudo-class showing how to use it as a parent selector, previous-sibling emulator, and anywhere/ancestor selector with examples (conditional grid columns, styling parent form controls, attribute-based card styling, sibling hover effects, and a CSS-only light/dark toggle). The article demonstrates how :has() can replace many JavaScript workarounds for state-driven styling and notes the performance and rendering advantages of doing so.