Articles
Thinking on AI coding agents, autonomous development, and how Trimo fits in.
What is an AI agent harness? From test frameworks to coding agents
The word 'harness' is everywhere in AI now. Here's what it actually means, why coding agents like Claude Code and Codex are harnesses, and what you still need to build on top of them.
Product managers shipping code: parallel agents without the dev setup
You don't need a working dev environment to make code changes anymore. Here's how product managers can dispatch coding agents to the team's real codebase, run several at once, and ship through normal review — without becoming a developer.
From git worktrees to autonomous agents: a senior engineer's upgrade
Worktrees + tmux + Claude Code is a working setup for parallel agents. It's also the ceiling of what you can do without real isolation. Here's what changes when you move to containerized autonomous runs.
Running parallel coding agents as a junior engineer
Most junior engineers use one coding agent in one terminal. Here's how to step up to running multiple autonomous agents — without needing to build the orchestration yourself.
Why coding agents freeze on permission prompts (and how to fix it)
You dispatch a coding agent, step away for 15 minutes, come back and it's done nothing — just waiting for a yes. Here's why permission prompts create hidden idle time, and what actually solves it.
Building Docker development environments for autonomous coding agents
How to build a custom Docker image that gives your coding agent a complete, isolated development environment — with your app, its services, and everything it needs to run tests against real infrastructure.
Why autonomous agents save hours of waiting every day
Every permission prompt is a context switch. With multiple agents running in parallel, cumulative waiting time adds up to hours per day. Here's how autonomous execution in Docker containers eliminates the bottleneck.
How to run multiple AI coding agents in parallel
Run multiple AI coding agents simultaneously on different features. Learn why Docker isolation is essential for parallel execution and how Trimo orchestrates concurrent agent workflows.
How to run Claude Code autonomously: Docker isolation and orchestration
A step-by-step guide to running Claude Code unattended in Docker containers. Compare manual Docker setup, Docker Sandboxes, and managed orchestration with Trimo.
Trimo vs Conductor: two approaches to local agent orchestration
Conductor and Trimo both run coding agents locally on your machine. Here's how their approaches to orchestration, isolation, and workflow differ.
How to run OpenAI Codex autonomously: local execution with Docker
Run OpenAI Codex CLI unattended with Docker isolation. Compare Codex cloud sandboxes, manual Docker setup, and managed orchestration with Trimo.
Trimo vs OpenAI Codex: local execution vs cloud sandboxes
Codex runs agents in the cloud. Trimo runs them on your machine. Here's what that means for cost, privacy, and control.
Trimo vs Claude Code: why autonomous runs need real isolation
Claude Code is a powerful coding agent. Trimo adds the orchestration, isolation, and parallel execution it needs to run autonomously.
Trimo vs Cursor: orchestration vs assistance
Cursor is an AI code editor. Trimo is an orchestration layer for autonomous agents. Here's why you might need both.
The Trimo approach: local execution in Docker sandboxes
How Trimo lets teams leverage existing developer machines to run AI coding agents in parallel — safely isolated in Docker containers.
Autonomous coding agents: benefits, limits, and when to go manual
What autonomous coding agents are good at, where they fall short, and when you should reach for Cursor or Claude Code instead.