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23 posts tagged Guides.
A guide to Munder Difflin's Command Center — the task kanban, live fleet monitoring, per-agent budgets and cost telemetry — and when to watch the board instead of the floor.
A step-by-step v0.3.3 walkthrough: install GitHub Copilot CLI (or let the harness install it for you), hire a Copilot worker, pick a model, and know exactly what print mode can and can't do.
A practical guide to Munder Difflin's Agent Gallery: browse six off-the-shelf hires, import one from a link or file, review the pre-filled manifest, customize identity, workspace, engine, and briefing — then spawn it yourself.
A practical guide to briefing Munder Difflin's GOD orchestrator: state the goal not the steps, set constraints and budgets, name the deliverable, and let Michael staff the floor. With bad-vs-good brief examples, mid-run steering, and Talk mode.
A practical walkthrough of Munder Difflin v0.3.3's built-in Monaco IDE: the title-bar IDE button, the git CHANGES rail with side-by-side diffs vs HEAD, the file tree, tabs, Cmd/Ctrl+S save — and the agent review workflow it enables.
A practical guide to mixing agent engines on one Munder Difflin floor: Claude Code as orchestrator, Codex for coding bursts, Copilot for dispatched tasks, and OpenCode/Crush/pi.dev for BYOK keys and local models.
A minute-by-minute walkthrough of your first hour with Munder Difflin v0.4.4: install, the clone-of-you onboarding, your first brief to Michael, watching the floor, approving your first escalation, and leaving a schedule running.
A step-by-step guide to running a whole Munder Difflin hive offline on an Apple Silicon Mac Mini — how to size models to your unified memory, install Ollama or LM Studio, and wire OpenCode and Crush to a local endpoint.
Munder Difflin runs your agent floor on open-weight models — gpt-oss, Qwen3, DeepSeek, Llama, Mistral, GLM, Kimi — fully local (Ollama/LM Studio/vLLM), through a third-party OSS provider, or on the model-maker's own CLI. Here's the wiring, current as of v0.4.4.
Step-by-step setup for driving Munder Difflin's AI agent hive from Slack: create the app, set scopes, paste the tunnel Request URL, and @mention your bot to start work — done-summaries post back in-thread.
Wire a GitHub webhook to Munder Difflin: a secret-gated local endpoint turns each repo event into a task for your GOD orchestrator — POST a message, get a token, poll the result. No server to host.
A comprehensive guide to every change in Munder Difflin v0.2.4 — how the Codex lifecycle-hook bridge achieves full hive parity, what the Schedules tab adds, why tunnelmole replaced localtunnel, and what else shipped.
Install Munder Difflin v0.4.4 on macOS, Windows, or Linux and put a hive of coding agents — on any of ten engines — to work on ambitious, long-horizon tasks, start to finish.
Claude Code automation that runs overnight: an autonomous Stop-hook loop, safe permission bypass, and guardrails so you wake up to progress, not chaos.
How to debug a multi-agent system: use the event log, per-agent terminals, message trails, and git history to find why a hive of AI agents went sideways.
How to run AI coding agents safely: contain the blast radius, scope every task, treat agent input as untrusted, and gate the irreversible behind a human.
How a small team adopts a hive of AI coding agents without chaos — the roles to assign, the cadence to run, and the guardrails that keep it safe.
Trigger an AI agent hive from Slack: a local webhook verifies each message and drops it into your orchestrator's queue as a task — no server to host.
How agents in a hive inherit your existing Claude Code MCP servers, skills, and tools — and how to scope which agent gets which capability.
Run several Claude Code agents in parallel without the chaos: give each a role, let them coordinate, and stop alt-tabbing between terminal windows.
Tactics to manage multiple Claude Code sessions without losing track: naming, roles, context isolation, and when a harness beats juggling terminal tabs.
A from-zero Claude Code multi-agent setup: install Munder Difflin, onboard, spawn a few agents, and watch the GOD orchestrator route your first task.
Claude Code subagents vs a multi-agent harness: where subagents stop and a harness with shared memory, messaging, and an orchestrator takes over.
