Running OpenClaw on bare metal, skipping the system prompt, and handing it admin API keys are the three setups that go wrong most. What to do instead, with a docker-compose file and a scoped IAM policy.
Claude Skills keep instructions in files the agent reads only when needed, which cuts the token overhead of always-on MCP tools. Subagents push it further by throwing away their own context once the job is done.
Demo agents fall over in production because errors compound across steps and prompts break when the business process changes. Structured output, LLM-as-a-judge evals and OKR alignment are what get a prototype across.
AI now generates faster than any of us can type, which makes judging the output the actual job. Where LLM code tends to break in WordPress: hooks that no longer exist, uncached get_option calls in loops, and raw SQL that HPOS will punish.
Senior data scientist skills are often mistaken for mastery of algorithms. The real gap between junior and senior practitioners is judgment: knowing when to pause, how to frame the problem, and what actually moves the business.
A practical way to stop babysitting deep learning runs: containerize your training script, add a health-check sidecar, and let an agent handle restarts and hyperparameter tweaks.
WordPress.com built its new AI Assistant directly into the block editor and Media Library. It edits blocks and generates images with Google’s Gemini models, though full layout control needs a Block Theme.
AI agents optimize for code that runs, not code that is safe. Two failures I keep finding in agent-written WordPress code, hardcoded API keys and REST routes with no permission callback, plus the review habits that catch them.
Writing the README and wiring up CI is the part everyone puts off. OSA is a multi-agent tool that reads the repository, drafts the docs and docstrings, and generates the workflow files. Here is how it works and how to run it.
Claude Code pays off when you build it tools instead of asking it for snippets. A CLAUDE.MD map, real WP-CLI commands, and a small plugin audit script turned a four-hour debugging session into a check that runs in seconds.