Our Blog

Discover insights from Octoco.ai's projects, key learnings, and innovative solutions that fuel your projects and inspire breakthroughs.

AI agent architecture
  • Updates

AWS AgentCore: The Architecture Guide I Wish I Had

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.

G-J at Capitec
  • Updates

Software Engineering in the Age of Agents

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.

multi-agent software development
  • Updates

Multi-Agent Software Development: From Solo Agents to AI Engineering Teams

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.

Knowledge graphs as memory
  • Updates

Knowledge Graphs as Memory: Why Your AI Agent Needs to Think in Relationships

RAG gave agents access to documents. Knowledge graphs might give them something more valuable: understanding.

From Vibe Coding to Agentic Engineering
  • Updates

From Vibe Coding to Agentic Engineering: The Evolution of AI-Assisted Development

One year after Andrej Karpathy coined "vibe coding," he declared the era over. What does "agentic engineering" mean for software teams?

Iterative AI
  • Updates

Iterative AI: Learning to Fail Fast with Intelligence

You can’t predict how your AI will behave in production. So stop trying. Start learning instead.

The Third Pillar of AI Development
  • Updates

CI/CD/CE: The Third Pillar of AI Development

Your deployment pipeline is green. Your model is live. And somewhere in production, it’s quietly failing.

octoco ai LLM chat
  • Updates

Writing User Stories for Uncertain Systems

When your AI feature might behave differently every time, how do you even specify what “working” means?