AI engineering insights, automation workflows, and technical deep-dives into AI systems, A2A communication, and MCP integration
Anthropic's Claude Design shipped April 17, 2026. It batches design-review questions like a real designer, links to your codebase and design system, and inherits every Claude connector on day one. Here's a hands-on review.
Dmytro Chaban
Claude Opus 4.7 ships with +10.9 on SWE-bench Pro and +13 on vision, but agentic search regresses and four breaking API changes will trip existing code. Here's whether to migrate.
Dmytro Chaban
The best value LLM subscriptions for developers in 2026, organized by what you actually pay: $200, $100, $20, and under $20. Opinionated picks per tier, plus the OpenCode-friendly subs mainstream blogs skip.
Dmytro Chaban
Meta shipped Muse Spark, their first frontier model since Llama 4, their first closed model ever, and the first real output from Meta Superintelligence Labs. Here's what's real, what's missing, and how it stacks up against Claude Mythos Preview.
Dmytro Chaban
Set up Claude Code Channels with Telegram in under 5 minutes. Step-by-step guide with real terminal output, daily usage tips, permission handling, and troubleshooting from hands-on experience.
Dmytro Chaban
1M tokens is table stakes. What the model does inside that window is what matters. I compared Claude Opus 4.6 and Gemini 3.1 Pro on agentic handling, retrieval quality, and real-world cost. Here's who wins.
Dmytro Chaban
Claude Code silently changed the default reasoning effort to medium. Your output quality dropped and you might not even know why. Here's the fix and what to set based on your subscription tier.
Dmytro Chaban
Google's Gemini 3.1 Flash-Lite just dropped — 363 tok/s, $0.25/1M input, and benchmarks that punch above its weight class. But the pricing is suspiciously close to Gemini 2.5 Flash. Here's the honest breakdown of whether Flash-Lite is a budget play or a speed play.
Dmytro Chaban
I ran Gemini 3.1 Pro through a real 5-step production agent pipeline. It read a Confluence doc, found a line saying 'we need to update documentation,' and abandoned the original task to do exactly that. Here's the honest comparison of Gemini 3.1 Pro vs Claude Sonnet 4.6 and Opus 4.6 for agentic workflows in 2026.
Dmytro Chaban
GLM-5 launched with bold claims of beating Kimi K2.5 on intelligence, coding, and speed. After two weeks of real OpenClaw agentic workflow testing, here's the honest truth: benchmarks lie, z.ai is slow, and Kimi K2.5 still wins where it matters.
Dmytro Chaban
After a week of testing all three Codex interfaces, here's the setup that actually works: AGENTS.md for repo instructions, skills for repeatable workflows, and config.toml for MCP connections—without the trial-and-error.
Dmytro Chaban
Stop piecing together scattered docs. This is the complete, reproducible way to set up Gemini CLI: a minimal GEMINI.md, reusable skills, MCP tool connections, and quality-of-life hooks.
Dmytro Chaban
Stop trusting leaderboard scores. Here's a practical A/B testing method to find which AI model actually performs best on your specific tasks.
Dmytro Chaban
Stop duct-taping configs. This is the clean, reproducible way to set up Claude Code: a minimal CLAUDE.md, reusable skills, MCP tool connections, and quality-of-life hooks.
Dmytro Chaban
Kimi K2.5 is not the best model for everything, but it is often the best value for routine engineering work. This guide shows where Kimi wins, where Claude and Codex are stronger, and how to choose the right model by task type.
Dmytro Chaban
Two AI coding agents dropped on the same day. I tested both at enterprise scale. Here's why Claude Opus 4.6 wins despite what the benchmarks say.
Dmytro Chaban
Managing production prompts for AI agents is a nightmare. Learn how to avoid the '30 txt files' chaos, prevent prompt drift, and implement modular versioning for scalable agentic systems.
Dmytro Chaban
Learn how to set up OpenClaw on a Google Cloud Platform VM with Ubuntu Desktop GUI and Chrome Remote Desktop. Step-by-step tutorial for running this AI agent 24/7 in the cloud.
Dmytro Chaban
After one month of intensive testing with Kimi K2.5 and Claude Sonnet 4.5/Opus 4.5, here's the hard truth: one model costs 3x more, but the gap in capability is smaller than the price suggests.
Dmytro Chaban
Your AI prompts are scattered across 50 Python f-strings and you deploy to change the tone of a chatbot. There's a better way: treat prompts as infrastructure with modular injection, templating, and unit tests.
Dmytro Chaban
Zero-shot is fast but misses nuance. CoT nails complex reasoning but costs 2-5x more. After months of testing, here's exactly when to use each prompting approach.
Dmytro Chaban
Learn to build a custom AI business chatbot using n8n without code. This guide covers creating mock data, setting up OpenAI, and testing prompts to prototype your business logic fast.
Dmytro Chaban
Deploy n8n to Google Cloud Platform in 5 minutes with automatic HTTPS. One-command installation script for production-ready n8n self-hosting at $10+/month. Includes Docker, SSL, and complete GCP setup tutorial.
Dmytro Chaban
What's the difference between an AI toy and an enterprise-grade AI tool? The answer is context. Most developers only provide a single layer of context, which leads to failure. In this guide, we'll explore the 5-part framework for building a truly AI-Ready project, ensuring your AI agents are precise, efficient, and aligned with your business goals.
Dmytro Chaban
In-depth Perplexity Comet browser review 2025 with real testing results. Learn about AI agent capabilities, pricing ($20/month Pro required), setup guide, performance benchmarks, and honest comparison with Chrome and Arc Dia. See actual examples of web automation and task completion.
Dmytro Chaban
Learn how to structure codebases for AI agents like Claude, Cursor, and GitHub Copilot. Step-by-step guide with CLAUDE.md templates, vertical slice architecture, and proven optimization techniques that improve AI code generation by 80%.
Dmytro Chaban
Deploy n8n on Railway in under 5 minutes with our step-by-step guide. Get a production-ready automation platform with HTTPS, webhooks, and Postgres database. Save $240+/year vs n8n Cloud.
Dmytro Chaban
Complete guide to deploying n8n Cloud: pricing breakdown (€24-€60/month), setup tutorial, workflow limits, and comparison with self-hosted alternatives.
Dmytro Chaban
Master ChatGPT Agent mode with step-by-step tutorials, real-world examples, and pricing details. Learn how to automate complex tasks like travel research, data extraction, and web navigation to save hours of manual work.
Dmytro Chaban
Transform your Gemini CLI from a local tool into a powerful development hub. Learn how to configure Model Context Protocol (MCP) to securely connect with GitHub, Figma, and other APIs using natural language commands in your terminal.
Dmytro Chaban
A deep-dive review of Dia, the new AI-integrated browser. Discover its game-changing features, current limitations, and if it's truly the future of Browse.
Dmytro Chaban
Compare the top budget coding LLMs of 2025: DeepSeek R1 leads with 71.4% Aider score at $8.55/month. Interactive cost calculator included to find your perfect AI coding assistant based on actual usage.
Dmytro Chaban
Learn how to implement Agent2Agent communication by building a DuckDuckGo web-search agent using Python and LangGraph.
Dmytro Chaban
Learn how to implement advanced vector database filtering in LlamaIndex to create more secure, relevant, and efficient semantic search systems. Discover best practices for metadata filtering that can transform how your AI applications retrieve information.
Dmytro Chaban
Discover how AI agents can transform your productivity by automating complex tasks, managing workflows, and scaling your capabilities. Learn practical strategies to leverage AI assistants and become a more efficient project manager in the age of artificial intelligence.
Dmytro Chaban
Join me on my journey exploring AI technologies as I share insights, discoveries, and practical applications of artificial intelligence in today's rapidly evolving landscape.
Dmytro Chaban