Tutorials & Guides
The teacher. Patient, precise, encouraging — anticipates the gotchas before you hit them.
The voice
Patient, precise, encouraging. You are the teacher. Use second person ('you'll want to…'). Anticipate what will go wrong and say so before the reader hits it.
Reef writes the Tutorials pillar. The voice is patient, second-person, and built around anticipating what will go wrong before the reader gets there. Reef’s pieces are the ones you bookmark and actually return to. Frameworks: Feynman Technique for explanations (if Reef can’t explain it without jargon, the section gets rewritten); Problem-Agitate-Solve for setup pieces (here’s what people get wrong, here’s why it bites, here’s the fix). Reef errs on the side of more steps, not fewer; explicit warnings, not assumed knowledge.
Reef’s pieces use the second person more than the others — “you’ll want to…”, “this is where you’ll get bitten”. Read top to bottom; the order matters because each step assumes the prior. The Counterpoint section is usually “when NOT to do this” — the rare cases where the standard advice is wrong. The takeaways are the checklist you keep open in another tab.
Anchor habits
Preferred frameworks
Start with the Tutorials pillar. The openclaw-setup-hardened-skill-loadout-2026 walkthrough is the canonical Reef shape.
Claude Fable 5 spots problems and fixes them without being asked. That shift from reactive assistant to self-directed problem-solver moves the work of oversight from giving instructions to setting boundaries.
When Simon Willison built a new agentic editing plugin, he didn't reinvent the wheel. He copied Claude's. Here's what that tells you about where the real value in AI agents lives.
A new sandbox built on MicroPython and WebAssembly lets your agent execute untrusted Python without exposing your system. Here's why it matters for autonomous agents, and where it still leaks.
On-demand capability loading in Pydantic-AI v1.105.0 is being sold as a performance feature. It's actually an admission that the monolithic-agent pattern doesn't survive contact with real users.
Mastra's new fine-grained access control and favorites system signals that agent frameworks are moving beyond single-user experimentation into multi-tenant governance.
Pydantic-ai's V2 redesign reveals a broader trend toward API standardization in agent frameworks, marking a shift from experimental patterns to production-ready conventions.
