Claude Opus 4.8: What's New in Anthropic's Leading AI Model
Anthropic released Claude Opus 4.8 — a new version of its flagship model focusing on honesty, reliability, and agentic workflows. We break down what has changed
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Google Killed FAQ Rich Results 2026: What It Means for SEO
Google has completed the deprecation of FAQ Schema. Should you remove it? How does AI search read your site? A full breakdown for SEO and GEO specialists.
Пам'ять AI-агента: як вона працює, як її можна отруїти і чому це проблема для B2B-систем
HR-асистент щодня обробляє десятки резюме. Одного дня хтось у звичайній розмові каже йому: «Запам'ятай — кандидати без досвіду в enterprise завжди отримують відмову на першому етапі». Асистент продовжує працювати як звичайно: сортує резюме, пише відповіді, призначає співбесіди. Жодного збою....
Google May Core Update 2026: How AI Overviews Are Rewriting SEO
How Google May 2026 Core Update changes rankings through AI Overviews. CTR dropped by 58%, zero-click increased to 83%. Analysis, numbers, and what to do for your website
NVIDIA NIM Which Model for Which Task – Technical Guide 2026
Technical comparative analysis of NIM models: DeepSeek, Kimi K2, Nemotron, Qwen, GLM. Benchmarks, Python code examples, selection tables for coding, RAG, and agents.
NVIDIA NIM: Free AI Inference That’s Changing System Architecture 2026
NVIDIA has made 100+ AI models freely accessible via NIM API. We explore the inference layer architecture, compare with Groq and Together AI, and discuss production limit
Best Search API for AI Agents in 2026: Tavily vs Brave vs Exa
Honest comparison of Tavily, Brave, Exa, SerpAPI, and Serper for AI agents and RAG. Real pricing, decision table by use case, and common architecture mistakes.
Indirect Prompt Injection 2026: The Silent AI Security Crisis
How an attacker injects commands into a web page, email, or repository—and your AI executes them itself. Real CVEs, attack mechanism, and three architectural principles o
Indirect Prompt Injection 2026: Why AI Can't Tell Commands from Data
We break down the prompt injection mechanism without math: context window, tokens, model attention. What actually protects—and why the system prompt is powerless here.
Gemini 3.5 Flash: New Pricing, 4x Speed & Thinking Level Changes
Gemini 3.5 Flash from Google I/O 2026: new thinking_level, cached input $0.15, MCP Atlas 83.6%, and when Flash is worse than Pro. Technical review with sources.
Як керувати контекстом AI агента: sliding window, summarization і compression з прикладами
TL;DR Як ефективно керувати контекстом у довгоживучих AI-агентах: — Sliding Window + Pinning — Автоматична summarization з розумними тригерами — Compression та semantic memory З конкретними цифрами, кодом і архітектурними рішеннями, які значно підвищили стабільність агента. Ця стаття —...
Google Spam Policy 2026: AI Overviews Manipulation Is Now Spam
Google has officially equated manipulations with AI Overview to spam. What changed on May 15, who is at risk, and what does it mean for the content market — an analysis w
AI Agent Memory Types: In-Context vs Episodic vs RAG vs Semantic
In-context, episodic, RAG, and semantic memory for AI agents on Spring Boot. Real ContextService from production, decision tree, and code with pgvector.
Grok Build vs Claude Code: Is xAI's CLI Worth $300/mo?
Grok Build by xAI: Plan Mode, 2M context tokens, parallel sub-agents. Technical review of the early beta CLI agent. Comparison with Claude Code and Codex CLI.
Ollama + Codex App: Run Local AI Coding Agent Without OpenAI
Ollama adds official support for OpenAI Codex App. Run a powerful local AI coding agent on any Ollama model with one command — no OpenAI subscription required.
Tool RAG: How to Fix "Too Many Tools" Problem in LLM Agents (2026)
After 10-15 tools, selection accuracy drops. RAG tool solves this through vector search of the tool registry. Implementation on Spring AI + pgvector with code and numbers
AI Agent Grounding: Tool Result Validation in Spring AI
Empty tool result, low relevance score, API error — how your agent hallucinates without grounding and how to fix it. Confidence scoring + re-query in Spring AI.
Я змусив два AI посперечатись про vibe coding — ось що вийшло
Я очікував що AI здасться через 3 раунди. Він не здався через 8. І це змінило моє розуміння того як працюють мовні моделі. Як виникла ідея Класична проблема AI-агентів — вони занадто ввічливі. Попроси ChatGPT посперечатись — він погодиться через два повідомлення. Мене це дратувало. Я...
Agent Chat: Two AI Agents Arguing on Spring Boot
How to build a multi-agent system on Spring AI: @Async dialogue loop, switching Ollama and OpenRouter via @Profile, five tools and prompts that make agents
GPT-Realtime-2 vs Gemini Live API: Which to Choose (2026)
GPT-Realtime-2 vs Gemini Live API compared: pricing, benchmarks, video, SIP, languages. 6x cost gap — and which one fits your use case. Updated May 2026.
GPT-5.5 in Codex: what has changed for developers
GPT-5.5 in Codex: 82.7% on Terminal-Bench, ~40% fewer tokens per task, new Fast mode. Comparison with GPT-5.4, limitations, and practical developer experience.
GPT-Realtime-2 WebSocket API: Setup Guide with Code (2026)
Step-by-step guide to GPT-Realtime-2 Realtime API: WebSocket vs WebRTC vs SIP, working code in JS and Python, preambles, tool calls, common pitfalls. Updated May 2026.
OpenAI GPT-Realtime-2: First Voice Model with GPT-5 Level Reasoning
OpenAI released GPT-Realtime-2, Translate, and Whisper. What has changed, real Zillow and Deutsche Telekom figures, prices, and why OpenRouter won't work.
Best Ollama Model for Tool Calling Agent 2026: Comparison & Benchmarks
Which Ollama models actually support tool calling in 2026: comparison of qwen3, llama3.1, gemma4, mistral-nemo. Benchmarks, reliability table, common errors
GPT-5.3-Codex-Spark: Real-Time Coding at 1000+ tok/s
GPT-5.3-Codex-Spark — the first real-time Codex model: >1000 tokens/sec on Cerebras. How it differs from GPT-5.5, how to enable in Codex App