Topic
Step-by-step walkthroughs you can follow today — install the app, meet your clone, hire agents on any of ten engines, and leave real work running overnight.
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.
From June 15, 2026 the Claude Agent SDK gets a separate credit. Munder Difflin drives the native Claude Code CLI, so your hive runs on your plan as before.
A plain-language guide to Munder Difflin v0.4.6. What a coding agent is, which AI engine to pick based on what you already pay for, the one terminal command you'll ever run, and how to install and set it up on macOS, Windows or Linux.
How the Model Context Protocol gets attacked — tool poisoning, rug pulls, command injection — and the layered defenses that secure your MCP tools.
Caching, batching, model tiering, context discipline, local-first — the five levers that cut a multi-agent fleet's bill, and how they compound.
How to run autonomous AI agents safely: permission modes and the bypassPermissions foot-gun, workspace isolation, and what to gate vs. allow.
Agents fail constantly: tools error, steps stall, output goes wrong. Reliability isn't avoiding failure — it's making each one contained and recoverable.
Claude Code automation that runs overnight: an autonomous Stop-hook loop, safe permission bypass, and guardrails so you wake up to progress, not chaos.
Why context engineering beats prompt wording for agents — and the tactics (isolation, retrieval, externalized state, compaction) that keep the window lean.
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 measure whether an AI agent is reliable enough to trust: reliability thresholds, why benchmarks overstate, and evaluating on your own codebase.
How to approve what AI agents do without a parallel approval queue: native permission prompts, routing 'to: human' to the orchestrator, remote approval.
An agent re-sends the same prompt, tools, and context every turn. Prompt caching makes you pay for that prefix once — here's how to design for it.
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.
A coding agent reads private code, ingests untrusted content, and runs commands — the lethal trifecta. How a poisoned dependency leaks your secrets.
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.
A grounded June 2026 roundup of agentic AI: Claude Opus 4.8, the MCP and A2A protocol layer, usage-based agent billing, and agent governance.
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.
