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Insights & Engineering

What we're learning building AI-native systems — architecture decisions, engineering patterns, and the honest lessons from production.

Apr 14, 20263 min read

Why Self-Evolving Software Is the Next Paradigm

Traditional software is frozen at deploy time. Self-evolving systems change that — they learn from every run, close the feedback loop, and improve without a new release cycle.

Self-EvolvingHermesArchitecture

Apr 10, 20264 min read

Ship in Days: How Coding Agents Changed Our Delivery Speed

A practical account of pairing human engineers with coding agents to compress development timelines from months to days — what works, what breaks, and what we learned.

Claude CodeCodexEngineering

Apr 7, 20264 min read

The Hermes Architecture: Building Agents That Learn

A technical deep-dive into how Hermes creates procedural memory, synthesizes skills from experience, and closes the feedback loop between execution and improvement.

HermesAI AgentsTechnical

Apr 3, 20265 min read

OpenClaw vs Traditional Agent Frameworks: Why We Chose Different

A direct comparison of OpenClaw's container-per-agent, local-first gateway approach against frameworks like LangChain and AutoGen — and the reasoning behind the architectural choice.

OpenClawArchitectureComparison

Mar 28, 20265 min read

AI-Native Architecture: What It Really Means

AI-native is not AI bolted on. It's a set of architectural principles that changes how systems are designed from the ground up — and most teams are building it wrong.

ArchitectureAI-NativeDesign