Notes

Short posts, notes, and ideas.

• About Scaling of Sleep-time Compute for Agents

  7 Apr, 2026

  You probably often hear scaling law, pre-training scaling, post-training scaling or test-time scaling, but you may not often hear sleep-time scaling. It's worth a few minutes to talk about it and how it would scale on the volume of context/memory, latency, and proactiveness.

• Human-Written AGENTS.md Still Wins

  2 Mar, 2026

  LLM-generated repo context files can be redundant and even hurt coding-agent performance, while human-written ones are more likely to close the real context gap.

• Context Learning Is Still Harder Than It Looks

  10 Feb, 2026

  CL-bench shows that frontier models still struggle to genuinely learn and apply novel knowledge that was not part of pre-training.

• Semantic Layer as Context Infrastructure for Agents

  28 Jan, 2026

  A semantic layer can turn scattered business definitions and local knowledge into explicit context that both humans and agents can use reliably.

• The Missing Layer in Agent Systems

  13 Jan, 2026

  Explicit context is only part of the problem. The harder part is capturing the reasoning that links information, decisions, and actions.