Daily Report — 2026-09-25
Daily Overview
- What was done: The work involved exploring command-line tool interfaces, implementing robot proprioception-assisted protocols for FrameSamp, and executing a systematic optimization of system energy consumption and startup latency.
- How it was done: Methods included repeated command execution for tool testing, utilizing offline slicing and robot state data for protocol validation, and batch-rolling out software optimizations such as font migration and animation pausing.
- Impact: These efforts resulted in verified command responsiveness, a structured pipeline for offline robot protocol validation, and significant reductions in idle CPU/GPU usage and UI startup latency.
The day’s work spanned three distinct domains: investigating Claude Code command structures, developing and validating robot protocol layers for the I-168 project, and implementing significant performance and energy optimizations for TokenMonitor.
Tasks
Architecture & Strategy
- • I-076: Performance Optimizations (21 items in 6 batches) — Implemented 19 out of 21 ranked optimizations. Batch-by-batch rollout ensured stability and prevented file conflicts.
- • Claude Rate Limit Improvements — Implemented Claude Code usage cache reading; added ‘–no-session-persistence’ to probes to prevent pollution of local command history.
- • FrameSamp Benchmark Reproduce — 复现官方 80k 权重在 16 任务上的逐集成绩，作为对比基准。
- • Gemini Writer Protocol Rollout — 按任务族顺序（Counting $\rightarrow$ Permanence $\rightarrow$ Reference/Imitation）实施协议并闭环验证。
Implementation & Fixes
- • I-077: System Font Migration — Removed Google Fonts @import and updated all components to use system-ui (Segoe UI on Windows, SF on macOS), eliminating a 100-400ms startup blocker.
- ✅ Explore Command Usage — Repeatedly invoked the /usage command to understand tool functionality and command availability.
Problems & Solutions
Critical Issues
1. High idle energy due to hidden popover rendering at 60fps.
Solution: Introduced popover visibility tracking. Rust emits events to the frontend; CSS pauses animations, and Svelte components pause intervals when hidden.
2. Slow tray updates caused by re-parsing massive log history.
Solution: Implemented earliest-date caching per provider to ensure only new log files are parsed during incremental updates.
3. Gemini 无法识别计数突变（如 SwingXtimes 错过目标点）
Solution: 引入本体感知（robot_state）检测关节/夹爪状态变化，并将其转换为视觉徽标（Badge）的触发信号，实现『计数由代码持有，Gemini 只判增量』。
4. 恒存类任务中的目标切换时机错误
Solution: 通过 writer_probe 诊断出目标句解析滞后，拟通过增加『目标进入/离开检测』的视觉门控来校准。
General Issues
5. Startup latency from external font requests.
Solution: Switched to system-ui fonts to remove network dependency during initial render.
Human vs AI Approaches
Strategic Level
Strategy Decision
| Role | Approach |
|---|---|
| Human | N/A |
| AI | 通过大规模离线诊断，定位 PickXtimes 和 StopCube 的策略上限问题（即即便画对了，模型也无法执行），建议后续单独讨论是否需要重训策略。 |
Difference Analysis: AI 负责从数千行日志和报错中提取出『策略能力上限』与『写手能力不足』的界限。
Implementation Level
Claude OAuth (3②)
| Role | Approach |
|---|---|
| Human | Stick to requested plan. Skip the aggressive OAuth-first retry to avoid potential rate-limiting issues observed in previous versions. |
| AI | N/A |
Difference Analysis: Human prioritized stability and rate-limit prevention over aggressive retry logic recommended by the AI.
AI Limitations
Critical Limitations
- 目前无法直接修改远程 tianhe3 的文件系统（只能通过
ssh运行/检查或批量推送），所有协议逻辑必须先在本地通过writer_probe离线闭环验证通过。
General Limitations
- Some CSS font-family replacements required manual verification to ensure spacing (e.g., ‘system-ui, sans-serif’) was consistent across all components.
Learnings
Key Learnings
- 观察发现：即使是 Oracle（真值画法），在某些任务（如 InsertPeg）上也有较低成功率，这证明了『单纯改进写入器』存在物理极限，必须结合任务难度的分级策略。
Practical Learnings
- WebView2/Wry’s
SetIsVisiblebehavior is nuanced; using a custom visibility event is a more reliable way to trigger frontend ‘paused’ states.
Conversation Summaries
Claude Code Exploration
✅ Command Usage Investigation The user performed an extensive series of repetitive attempts to call the ‘/usage’ command to observe system responsiveness and documentation retrieval.
RoboMemory
✅ I-168 Protocol Implementation From failure mode analysis to protocol framework reconstruction and offline validation preparation, the R&D pipeline has successfully transitioned from theoretical diagnosis to code implementation.
TokenMonitor
✅ Energy and Speed Optimization Implemented batch-based optimizations targeting 21 high-impact areas (GPU idle-wakeups, process spawning, and font loading), resulting in significant improvements in energy efficiency and UI responsiveness.