AI Tool Guides, Comparisons & Latest News

Claude Mythos Preview, released by Anthropic in April 2026, hit Firefox JavaScript engine exploit success rates 90× higher than Opus 4.6 and uncovered thousands of zero-days across OpenBSD, FFmpeg, and the Linux Kernel. Anthropic chose not to release it publicly, instead adopting "Project Glasswing" — limited delivery to partners like AWS, Google, and Microsoft. This article maps the new terrain of AI cybersecurity Mythos has revealed: attacker automation, AI on the defender side, regulatory response, and the actions organizations should take, all grounded in the latest data.

The center of gravity has shifted from prompt engineering to harness engineering — the new battleground of the AI agent era. This article lays out what harness engineering actually is, how it differs from prompt engineering, the six components (tool definition, context management, memory, loop, guardrails, output UX), a side-by-side comparison of Claude Code, Cursor, Codex CLI, and Devin, and a practical design checklist — the foundation you need to use or build AI agents seriously.

AI agents (Claude Code, Cursor, Copilot, Codex) ignoring your .md rule files comes down to 5 root causes: context-window limits, auto-compact diluting early instructions, fuzzy priority, vague phrasing, and bloated scattered files. This article walks through diagnostics, quick wins (compress to under 150 lines, priority markers), and longer-term systemization with Claude Code Hooks, sub-agents, and custom slash commands — plus tool-specific best practices.

OpenAI shipped "ChatGPT 5.5 (GPT-5.5)" on April 23, 2026. Pitched as "a new class of intelligence for real work and AI agents," it scored 82.7% on Terminal-Bench 2.0 — pulling ahead of Claude Opus 4.7 (69.4%) and Gemini 3.1 Pro (68.5%) to reclaim the top spot. But API pricing doubled vs GPT-5.4 ($5/$30 per MTok), and Claude Opus 4.7 still beats it on SWE-Bench Pro. This article gives you the full picture — features, benchmarks, pricing, plan availability, head-to-head with Claude and Gemini, and how to pick — all grounded in official sources.

Ask Claude Code or ChatGPT to build a web app and it almost always says "let's use Next.js." But what is Next.js, exactly? Is plain React not enough? This article gives you a complete breakdown — what Next.js is, why AI defaults to recommending it, how it differs from React, what SSR/SSG/ISR mean, App Router vs Pages Router, its relationship with Vercel, and how it compares to alternatives like Nuxt, Remix, and Astro — all updated for Next.js 16.2 (March 2026).

You want ChatGPT to read your internal docs and answer questions about them --- that is exactly what RAG (Retrieval-Augmented Generation) is built for. This article walks through how RAG works in three steps, covers vector databases, a LangChain implementation, and when to pick RAG over fine-tuning. We also showcase real use cases including internal Q&A, customer support, and legal/medical knowledge work.

On April 16, 2026, Anthropic released Claude Opus 4.7. High-resolution image support (up to 2576px), a new xhigh effort level, task budgets (beta), a new tokenizer, a 1M context window, and pricing held at $5/$25 per MTok --- coding, agents, and vision tasks all see major improvements. There are also breaking changes (extended thinking and sampling parameters are gone). This article covers the new features, behavioral changes, how it compares to Opus 4.6, and when you should reach for it.

Claude Opus 4.7 shipped, and migrating from 4.6 comes with several breaking changes: extended thinking (enabled) is gone, temperature/top_p/top_k are gone, the new tokenizer produces up to 1.35x more tokens, thinking content is hidden by default, and prefill is gone. This article walks through every breaking change with Python and TypeScript Before/After snippets, behavioral changes, recommended settings, and a line-by-line migration checklist.

When you have AI write code for you, it keeps suggesting "just deploy to Vercel." But what is Vercel? How is it different from shared hosting or AWS? This article compares PaaS (Vercel and friends) against shared hosting, VPS, and cloud (IaaS) across cost, flexibility, and operational overhead. We also walk through the major services --- Vercel, Netlify, Render, Railway --- and show you which one fits your use case.

If robots.txt is a file that tells search engines what they can and cannot crawl, llms.txt is a file that tells AI about your site's content and structure. It helps LLM crawlers (GPTBot, ClaudeBot, etc.) understand your site, increasing the chances of being cited in AI-powered search results. This article covers everything from the llms.txt format specification and what information to include, to whether you should use a static file or dynamic generation, and how to implement it in major frameworks.

Now that Claude Code and OpenAI Codex can auto-generate infrastructure code (Terraform, Docker, Ansible, and more), some people are asking: "Are infrastructure engineers about to become obsolete?" The reality is more nuanced. This article maps out what AI is actually good at, the areas where only humans can take ownership — physical work, incident judgment, security accountability — and how infra engineers should evolve in the AI era.

Think programming is beyond you? In 2026, AI coding tools like Claude Code let anyone — even with zero IT knowledge — build and launch a web service. This guide breaks down IT fundamentals (apps, databases, servers), the difference between shared hosting, VPS, and cloud, and walks you through the entire AI-powered development workflow from planning to deployment.