Want to master Claude Code? Here are 26 slash commands every power user needs to know. Save this list to supercharge your AI coding workflow ↓
LLMS
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Letta always leader, sleep time compute comes from them
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Letta has always been at the top of that, "sleep time compute" comes from them!
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One CLAUDE.md and auto memory simplify workflows
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8/ The real setup. One lean CLAUDE.md. Let auto memory handle lessons. Add path rules when it grows, skills for workflows. Most people manage 7 files to do what one file and the tool already handle. Source: Anthropic Claude Code documentation, 2026.
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Path-scoped rules keep Claude’s context clean for big codebases
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6/ For a big codebase, do not pile everything into one file. Use path-scoped rules in a .claude/rules/ folder. They load only when Claude touches the matching part of your code, so the context stays clean instead of carrying everything at once.
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Anthropic lists seven real ways to steer Claude Code
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2/ Anthropic lists the real ways to steer Claude Code. There are seven, and they are not files you invent. CLAUDE.md. Rules. Skills. Subagents. Hooks. Output styles. System prompt.
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Claude Code auto-loads specific files, not viral advice files
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1/ The viral advice says make persona.md, lessons.md, references.md, glossary.md, and more. Claude Code does not read most of them. It auto-loads a specific set of files. The rest just sit there unless you import them by hand.
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Beginners: one file, Claude builds the rest
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Code beginners with Claude: everyone says to create 7 files first. You only need one, and Claude builds the rest itself. Here's how:
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GitHub blocked by output policy in Claude Code
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Claude Code for the web has just started saying "GitHub is blocked by the output policy", which is a big problem for me because most of my prompts there start with things like "clone simonw/sqlite-utils to /tmp to see the docs in
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New release: A Practical Guide to RLHF from Packt
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New release from @PacktDataML at https://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Agent memory becomes data management system for LLMs
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// Agent memory is a data system now // Great paper on long-term memory for LLM agents. (bookmark it) Agent memory has grown from simple retrieval into a full data-management layer with storage, retrieval, update, consolidation, and lifecycle governance. Yet most evaluations