8h ago · 7 min read · Writing a feature spec and getting it to production involves a lot of steps, architecture decisions, task planning, implementation, testing, and code review. In a real engineering team, these are hand
Join discussion
5d ago · 6 min read · When we started building a multi-agent compliance system, we thought the hard part would be making agents accurate. We were wrong. The hard part is making them auditable. This post covers the architectural patterns we discovered while running 347 pro...
Join discussionMay 7 · 8 min read · The Rise of Agent Orchestration: How Multi-Agent AI Systems Are Transforming Software Development in 2026 Context Remember when "AI-assisted development" meant GitHub Copilot suggesting the next line of code? Those days feel ancient now. In early 202...
Join discussion
May 2 · 11 min read · The Rise of AI Agents in 2026: Why Gartner Says 40% of Apps Will Have Them In 2024, AI agents were a concept that most enterprise software teams were discussing but few were deploying. By mid-2025, multi-agent inquiries had surged 1,445% year-over-ye...
Join discussionMay 2 · 5 min read · For two years, AI agents were the "next big thing" that never quite arrived. Demos were impressive. Production deployments were rare. The gap between what agents could do in a controlled demo and what they could do in the real world was enormous. Tha...
Join discussionMay 2 · 11 min read · Google's Agent Development Kit (ADK) for TypeScript is the most complete open-source framework for building production multi-agent systems that launched in 2026. If you are a TypeScript developer looking to build reliable agent systems, ADK gives you...
Join discussionApr 24 · 9 min read · TL;DR: Multi-agent orchestration is useful only when separate reasoning steps reduce review effort. Why this matters: without clear scope and human review, it creates a more expensive failure path. Multi-agent AI systems look powerful in vendor demo...
Join discussion
