Why your AI agent costs 10x more than you think
Most AI agent cost problems are workflow problems. How I used one OpenClaw blog pipeline to find retries, prompt bloat, and hidden setup waste.
Most AI agent cost problems are workflow problems. How I used one OpenClaw blog pipeline to find retries, prompt bloat, and hidden setup waste.
How to choose the right open source LLM in 2026 based on workload, deployment needs, cost, and when self-hosting actually makes sense.
Run OpenClaw in production without forking it. Use a patch overlay to ship urgent fixes fast and keep upgrades clean.
MCP adds a hidden token and latency tax because models must read tool schemas and manage multi-step tool loops before they can answer.
Spec Kit works best at the feature-planning layer, where it preserves shared context without forcing teams to replace their story-level workflow.
Sandbox tasks vs code tasks, three types of automations, and how to build pipelines that span both environments from your phone.
A framework for understanding the tools you need to run Claude Code and Cowork from your iPhone, and how to debug when things break.
How to set up Tailscale, Termius, and Mosh for persistent Claude Code sessions from your phone, plus the Remote Control combo workflow that makes it practical.
AI instruction files work 70% of the time. Close the gap with hooks, automated validation, and team governance strategies.
Monorepos, legacy migrations, mixed framework versions. Here's how to configure AI coding assistants when your codebase doesn't follow one set of rules.