Now

The shortest path to what matters most in this wiki right now.

Current thesis

The near-term edge in agentic development is not just bigger models. It is:

• stronger harnesses
• cleaner handoffs
• better context discipline
• sharper lane design
• more explicit defaults and guardrails

Core operating doctrine

Read these first if you care about how to build and run better agent systems right now:

1. QUA-260 First Seed Wave
2. QUA-260 Second Seed Wave
3. Harness-First Agent Development
4. Planner Executor Separation
5. Artifact-First Handoffs
6. Context Manifests and Governed Retrieval
7. Two-Pass Context Management

Newly promoted pages worth reading

These are newer additions that now matter enough to read directly, not just leave buried in the library:

• Context Manifests and Governed Retrieval
• Everything is Context — Critical Assessment
• AI Product R&D vs Roadmap Execution

Strategic/background signals

These matter, but they are not core operating doctrine yet:

• Beyond the Prompt — Richard White
• China AI Deployment Gap + Solo Operator Positioning
• Solo Operator Stack

Best current source pages

• OpenAI Harness Engineering
• OpenClaw Operating Model Gap Assessment
• AI Dev Code Builder Agent Topology
• GPT-5.4 1M Context Window Operating Policy
• Everything is Context — Critical Assessment

Current open edges

• finish the remaining pending QUA-260 assessments, especially Brave Answers API and OpenClaw /btw
• start writing explicit decision records once recurring conclusions stabilize
• decide whether any structured shared-memory pilot should graduate beyond markdown synthesis