https://irenictech.com/blog Notes from the IrenicTech team on AI, software, and shipping. en https://irenictech.com/blog/agentic-ai-development https://irenictech.com/blog/agentic-ai-development Sun, 28 Jun 2026 00:00:00 GMT A no-hype guide to agentic AI development in 2026: how AI coding agents, MCP, and multi-agent orchestration actually work, and what it means for building software. https://irenictech.com/blog/agentic-ai-security https://irenictech.com/blog/agentic-ai-security Sun, 28 Jun 2026 00:00:00 GMT AI agents with too much access are a growing security risk. Here's how agentic AI actually gets breached and how to govern agents before it happens to you. https://irenictech.com/blog/ai-enabled-website-2026 https://irenictech.com/blog/ai-enabled-website-2026 Sun, 28 Jun 2026 00:00:00 GMT An AI-enabled website isn't a chatbot in the corner. In 2026 it's about being readable by the AI engines that now answer your customers' questions. Here's why. https://irenictech.com/blog/austin-startup-boom-ai-opportunity https://irenictech.com/blog/austin-startup-boom-ai-opportunity Sun, 28 Jun 2026 00:00:00 GMT Austin startups raised a record $7.19B in 2025, led by AI and robotics. Here's what that funding wave means for software demand, and how to build for it. https://irenictech.com/blog/best-ai-coding-agents-2026 https://irenictech.com/blog/best-ai-coding-agents-2026 Sun, 28 Jun 2026 00:00:00 GMT An honest 2026 comparison of the top AI coding agents, Claude Code, Cursor, Codex CLI, Gemini CLI, and OpenCode, on capability, ecosystem, and the numbers that mislead. https://irenictech.com/blog/best-open-source-llms-2026 https://irenictech.com/blog/best-open-source-llms-2026 Sun, 28 Jun 2026 00:00:00 GMT A current, honest comparison of the best open-weight LLMs in 2026, GLM, DeepSeek, Qwen, Kimi, and MiniMax, by use case, with the benchmark caveats most listicles skip. https://irenictech.com/blog/build-vs-buy-ai https://irenictech.com/blog/build-vs-buy-ai Sun, 28 Jun 2026 00:00:00 GMT Should you buy an off-the-shelf AI tool or build a custom one? A practical 2026 decision framework for businesses weighing cost, control, and risk. https://irenictech.com/blog/dubai-agentic-ai-plan https://irenictech.com/blog/dubai-agentic-ai-plan Sun, 28 Jun 2026 00:00:00 GMT Dubai launched a two-year plan to put agentic AI into its private sector. Here's what it means for UAE businesses, and a practical checklist to get ready. https://irenictech.com/blog/geo-aeo-get-cited-by-ai https://irenictech.com/blog/geo-aeo-get-cited-by-ai Sun, 28 Jun 2026 00:00:00 GMT AI answers cite only a handful of sources. Here's how generative engine optimization (GEO) and answer engine optimization (AEO) actually get your business into them. https://irenictech.com/blog/measuring-ai-search-visibility https://irenictech.com/blog/measuring-ai-search-visibility Sun, 28 Jun 2026 00:00:00 GMT You can't improve what you can't see. Here's how to measure your visibility in AI answers from ChatGPT, Perplexity, and AI Overviews, beyond traditional rankings. https://irenictech.com/blog/multi-agent-systems https://irenictech.com/blog/multi-agent-systems Sun, 28 Jun 2026 00:00:00 GMT What is a multi-agent system, why is everyone building them in 2026, and where do teams of AI agents actually help versus just add chaos? A practical explainer. https://irenictech.com/blog/open-source-llms-for-your-product https://irenictech.com/blog/open-source-llms-for-your-product Sun, 28 Jun 2026 00:00:00 GMT Open-weight LLMs got good enough to ship in 2026. Here's how to weigh them against closed models on cost, control, and data residency, without the hype. https://irenictech.com/blog/what-is-mcp https://irenictech.com/blog/what-is-mcp Sun, 28 Jun 2026 00:00:00 GMT What is the Model Context Protocol (MCP), why did it become the standard for connecting AI agents to tools in 2026, and how do you govern it safely? https://irenictech.com/blog/nextjs-vs-wordpress https://irenictech.com/blog/nextjs-vs-wordpress Tue, 23 Jun 2026 00:00:00 GMT Next.js vs WordPress in 2026: how they compare on performance, SEO, security, cost, and maintenance, and how to choose the right one for your business website. https://irenictech.com/blog/agent-ready-saas-mcp https://irenictech.com/blog/agent-ready-saas-mcp Sat, 20 Jun 2026 00:00:00 GMT AI agents are becoming buyers and users of software. Here's what 'agent-ready' means, why an MCP server wins enterprise deals in 2026, and how to ship one. https://irenictech.com/blog/securing-ai-built-apps https://irenictech.com/blog/securing-ai-built-apps Thu, 18 Jun 2026 00:00:00 GMT 9 in 10 security leaders worry about AI-generated code. Here's where vibe-coded apps break, the real risks of AI coding agents, and how to ship them safely. https://irenictech.com/blog/ai-native-vertical-saas https://irenictech.com/blog/ai-native-vertical-saas Tue, 16 Jun 2026 00:00:00 GMT AI-native vertical SaaS is the fastest path to $100M ARR in 2026. Here's what 'AI-native' really means, why vertical wins, and how to build one that scales. https://irenictech.com/blog/ai-agents-that-reach-production https://irenictech.com/blog/ai-agents-that-reach-production Sat, 13 Jun 2026 00:00:00 GMT Enterprises run 12 AI agents on average — and half work alone. Here's why most agents stall before production and the engineering that ships them reliably. https://irenictech.com/blog/claude-fable-5-launch https://irenictech.com/blog/claude-fable-5-launch Thu, 11 Jun 2026 00:00:00 GMT Anthropic launched Claude Fable 5 on June 9, 2026, its most capable publicly available model, with state-of-the-art coding, long-horizon agentic, and reasoning gains. https://irenictech.com/blog/costly-oversight-multi-tenant-saas https://irenictech.com/blog/costly-oversight-multi-tenant-saas Tue, 09 Jun 2026 00:00:00 GMT Skipping tenant isolation in multi-tenant SaaS leads to a costly rewrite later. Why we build row-level security from day one, and when shared-schema is the right call. https://irenictech.com/blog/shipping-ai-products-in-weeks https://irenictech.com/blog/shipping-ai-products-in-weeks Fri, 05 Jun 2026 00:00:00 GMT How we ship AI in weeks instead of quarters: scope it like a product, build the feedback loop before the fancy model, and treat it like untrusted code.