How to prompt coding agents well
How to prompt coding agents: state the goal, give the right context, set constraints, define acceptance checks and leave out what does not help.
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The Muster Agent blog: coding agents in practice
Practical, tool-neutral advice on prompting, tools, containment, routers, review and parallel work, with notes on how Muster Agent, an open-source AI Development Environment, does each. Subscribe by RSS.
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Guides from the Muster team.
Getting coding agents to use tools well
How to get coding agents to use the terminal, the browser and MCP servers well, and how to choose permissions so that capable does not mean careless.
Sandboxing coding agents with Muster Agent
How to contain a coding agent: permission modes, disposable sandboxes, scoped computers and keeping secrets out of commands, with Muster Agent.
Running agents on your own server with Muster Server
What Muster Server runs, how to deploy it, how the desktop app connects, how teams use it, and what is not built yet. An honest guide for self-hosting.
Using any model through routers with Muster Agent
How to use any model through an OpenAI-compatible router such as OmniRoute, OpenRouter or LiteLLM, choose models per task, and read cost receipts.
Doing Paperclip tasks locally with Muster Agent
Check out a Paperclip task, work in a git worktree and let the work hand itself back, with what Muster Agent actually does.
Reviewing coding agent changes safely
How to review what a coding agent changed: read small diffs, keep or undo per file, check the evidence and keep receipts, with Muster Agent features.
Parallel agents and sub-agents: when to split work
When to run agents in parallel, when to use sub-agents, and how to keep the work reviewable, plus how Muster Agent handles overlap and worktrees.
What is an AI Development Environment (ADE)?
The anchor guide: what an ADE is, when you want one, what to look for, and how Muster Agent approaches it.