· 3 min read
Why AI Agents Need an Orchestration Layer
AI coding agents are powerful individually, but managing multiple agents working in parallel requires a fundamentally different approach. Here's why we built Colony.
Blog
Thoughts on AI agents, developer tools, and building in public.
· 8 min read
Swiss-Made Software: Why We're Building Colony in Switzerland
How Swiss engineering culture, the startup ecosystem, and long-term thinking shape Colony's development.
· 7 min read
From Single Agent to Colony: Scaling AI-Assisted Development
The evolution from manual coding to multi-agent orchestration, and why scaling AI agents is harder than it looks.
· 8 min read
Designing a Real-Time Preview System for Agent Development
How Colony's preview system gives developers visibility into AI agent work through web previews, terminals, and streaming events.
· 6 min read
The Case for Source-Available Licensing in Developer Tools
Why Colony uses FSL-1.1 instead of pure open source, and what it means for users and the business.
· 7 min read
Why Every AI Agent Needs Its Own Workspace
The multi-agent merge conflict problem and how Jujutsu's architecture solves it better than Git.
· 5 min read
Network Namespaces vs Docker: A Performance Deep Dive
Why Colony uses Linux network namespaces instead of Docker containers, with real performance comparisons.
· 5 min read
Building Colony: Why Gleam + OTP?
Why we chose Gleam and the OTP framework over Go, Rust, or Node.js for Colony's orchestration layer.