📖 Guides
Step-by-step tutorials and how-to articles
Use Task Runners for Common Coding Tasks
Ham Vocke explains how to use simple bash scripts or Makefiles as task runners to standardize common commands like build, test, and format across repositories.
OpenClaw Fallback Chains Preserve Uptime but Can Quietly Lower Reliability
OpenClaw's model fallback mechanism can mask reliability issues. A smaller fallback model may pass simple tasks but fail complex ones, costing more in retries and review.
How to Migrate OpenClaw and Hermes Between Machines Using SSH Self-Migration
A user transferred OpenClaw and Hermes from WSL2 Ubuntu on a laptop to an EVO-X2 WSL2 Ubuntu 2604 instance by having the tools SSH in and migrate themselves.
Google AI Pro Account Restored After OpenClaw OAuth Ban — Appeal Form Works
A user reports their Google AI Pro account was restored 3 months after being banned for linking to OpenClaw via Google OAuth. The official appeal form eventually worked.
Build a $10 Token Monitor for LM Studio Using an ESP32 Display
A developer repurposed a $10 ESP32 weather station display as a live token monitor for LM Studio, coding the firmware in 15 minutes with Codex.
5 Coherence Checks Before Any OpenClaw Profile Goes Live
Stop chasing perfect spoofing. Internal signal coherence matters more. TLS, locale, WebGL, canvas, and behavior checks from r/openclaw.
The Hitchhiker's Guide to Agentic AI — Full Overview
A comprehensive Reddit post covering how LLMs work, RL for LLMs, reasoning, evaluation, agentic memory (RAG), and multi-agent systems, with a link to the full paper.
4 Things Your Claude Code Orchestrator Needs to Be Useful
Practical tips from a developer who built orchestrator agents for Claude Code: mission document, heartbeat, inter-agent communication, and auditable control.
Scaling Agentic Coding to 150+ PRs/Week: Lessons from $85K in Tokens at Lovable
Alexander Lebedev shares how he scaled from 20–30 PRs/week with one human to 150+ PRs/week with a swarm of AI agents, spending $85K in tokens since January. Key learnings: risk classification, AI review replacing human code review, and the challenge of preserving knowledge diffusion.
Pricing AI Agents: Lessons from Selling OpenClaw to Small Businesses
After months selling OpenClaw agents to law firms and real estate, a builder shares practical pricing strategies: per-seat fails, AI-employee framing wins, and pass-through LLM costs prevent margin erosion.
Short Leash AI Coding Method: Beat Fable by Keeping Control
Greg Slepak's short leash method for AI coding agents: plan, review every diff, deny bad changes, commit after subtasks. Beats Fable quality by keeping the developer in the loop.
How an Idle Agent Burned 50M Tokens a Day – and How to Fix It
An idle OpenClaw agent burned 50M tokens a day via heartbeat pings with a bloated session. A Reddit user shares how they traced the leak and fixed it with config changes.