Discover insights from Octoco.ai's projects, key learnings, and innovative solutions that fuel your projects and inspire breakthroughs.
We securely link Claude, ChatGPT, or anything that speaks MCP, directly to your business data. You ask in plain English and get an instant, true-to-source answer from your live production data.
Stop shipping AI party tricks. These three workshops give software teams the engineering discipline to actually trust their agents in production.
If you are building agentic AI backends and want to understand what AgentCore gives you, what it demands from you, and where you will lose hours if nobody warns you -- this is that guide.
If AI can generate weeks of code in an afternoon, what does that mean for software engineering? As the cost of code generation collapses, the value of software development is shifting toward defining the right problems and delivering reliable systems in production.
Sixteen AI agents wrote a 100,000-line C compiler in Rust. Then a benchmark revealed that agents are 50% worse at collaborating than working alone. Welcome to the messy, fascinating frontier of multi-agent development.
RAG gave agents access to documents. Knowledge graphs might give them something more valuable: understanding.
One year after Andrej Karpathy coined "vibe coding," he declared the era over. What does "agentic engineering" mean for software teams?
You can’t predict how your AI will behave in production. So stop trying. Start learning instead.
Your deployment pipeline is green. Your model is live. And somewhere in production, it’s quietly failing.
Most AI projects fail not because the tech isn’t capable, but because businesses jump in without a clear strategy. A Fractional CAIO brings the structure, oversight, and specialised guidance needed to turn AI from an experiment into measurable business value.
Your test suite assumes predictable outputs. Your AI doesn’t. Now what?
When your AI feature might behave differently every time, how do you even specify what “working” means?
We’re building with AI, and building AI into our products. But have we forgotten the fundamentals that make software actually work?
In this article, Octoco AI Co-Founder and CEO Nolan van Heerden explores how artificial intelligence evolved from early expert systems to today’s generative models, what its rapid adoption means for healthcare professionals, and where the biggest opportunities and risks lie.
