Blog
Harness Engineering for Software Teams: Making AI Coding Agents Reliable
Harness engineering makes AI coding agents verifiable through clear context, boundaries and feedback. A practical start for growing software teams.
AI Monoculture in Code Review: Why Independent Validation Matters
AI monoculture in code review creates correlated failures. How software teams can organise independent checks for AI-generated code.
Agentic Testing: Using AI Agents for Software Testing
Agentic testing extends software testing with AI agents. How teams can increase coverage without giving up quality or release control.
TypeScript for AI Coding: Type Safety as a Quality Gate
TypeScript for AI coding makes contracts machine-checkable and catches integration errors early, without replacing tests, reviews or domain expertise.
WebMCP for Software Products: Preparing Websites for AI Agents
WebMCP lets AI agents operate web applications through structured tools. What product teams should know about permissions and backend boundaries.
Agentic Commerce: Preparing Backends for AI-Assisted Purchases
Agentic commerce connects AI agents with product data, checkout and payments. What teams should define for APIs, authorisation and operations.